Relevant bibliographies by topics / Voice alerts

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Voice alerts'

Author: Grafiati
Published: 3 June 2025
Last updated: 19 July 2025

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Journal articles on the topic "Voice alerts"

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Hester, Michelle, Kevin Lee, and Brian P. Dyre. "“Driver Take Over”: A Preliminary Exploration of Driver Trust and Performance in Autonomous Vehicles." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 1969–73. http://dx.doi.org/10.1177/1541931213601971.

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Automated vehicles are becoming more prominent in research and development. These automated vehicles introduce issues that have been seen in other autonomous systems such as decreases in situation awareness, complacency, and trust. Previous literature has looked at the effects of alerts and voice agents on driving performance. This preliminary study compares different in-car alerts (no alert, sound alert, task irrelevant voice alert, and task relevant voice alert) on trust and the driver’s ability to get back in-the-loop when the automation has failed. Participants were asked to monitor a simulated automated vehicle as it drove down a straight two-lane road. The main statistical results of our study show no difference in trust between the four different conditions; however, more participants avoided collision with a leading car in the task relevant voice condition in comparison to the three other conditions. These preliminary findings have important implications for the design of automated vehicles.
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Jadhav, Atharva. "Traffic Sign Detection and Voice Alert." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 4283–88. http://dx.doi.org/10.22214/ijraset.2023.52651.

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Abstract: The Traffic Sign Detection and Voice Alert is an intelligent system designed to improve road safety by detecting traffic signs andproviding voice alerts to the driver. The project is based on computer vision and machine learning techniques, and it uses a camera to capture real-time images of the road and traffic signs. The system analyzes the images to detect traffic signs, such as speed limit signs, stop signs, and no entry signs, using deep learning algorithms. Once a traffic sign is detected, the system provides a voice alert to the driver, informing them of the sign's message. The system has several advantages over traditional traffic sign detection systems. Firstly, it is more accurate and reliable due to the use of deep learning algorithms. Secondly, it provides real-time alerts to the driver, which helps them to stay focused on the road and avoid accidents. Finally, it is cost-effective and can be easily installed in any vehicle.
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Lidestam, Björn, Philip Lindblad, Petr Ondomiši, Emilia Sörengård, and Kajsa Weibull. "Augmented emergency lighting as a soft early warning: measures on road users when moving over." Acta Polytechnica CTU Proceedings 51 (December 17, 2024): 36–41. https://doi.org/10.14311/app.2024.51.0036.

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A novel interface to provide robust, intuitive, and timely alerts to road users to move over for emergency vehicles (EVs) was tested in a seven-minute driving-simulator experiment. The interface, Augmented Emergency Lighting (AEL), mimics emergency lighting on emergency vehicles (i.e., flashing blue light), by using the cars’ interior lighting. AEL was initiated 30 seconds before an EV caught up and increased its brightness proportionally to the distance to the EV. The AEL alert was after 16 seconds accompanied by an Emergency Vehicle Approaching (EVA) alert, presented as a voice command and a text message on the dashboard. Comparisons were made between AEL+EVA alerts, EVA-only alerts, and no alerts, between groups (N = 61). Both AEL+EVA alerts and AEL-only alerts were highly successful in getting drivers to move over by slowing down and pulling off to the side as compared to when there were no alerts, but no significant difference between AEL+EVA and EVA-only was found. Questionnaire responses showed that AEL+EVA alerts were generally appreciated and that their timing was good. Further studies on learning effects and usability are discussed.
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Alekhya, Nette. "INTELLIGENT ULTRASONIC DETECTION OF WALKING STICKS FOR THE BLIND." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45300.

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Abstract - Visually impaired individuals face significant challenges in navigating their surroundings independently and safely. This project presents the design and implementation of an intelligent walking stick equipped with ultrasonic sensors, a voice assistance module, and a water detection unit. The system is developed to provide real-time alerts to the user using vibrations and voice feedback when obstacles or wet surfaces are detected. Additionally, it incorporates a medicine reminder feature and an emergency alert mechanism through voice prompts, enhancing both daily usability and critical safety for the user. By integrating low-cost components like the Arduino UNO, APR33A3 voice module, and ESP8266 for wireless connectivity, the proposed system offers a reliable and affordable solution for aiding the visually impaired. Keywords: Smart Blind Stick, Ultrasonic Sensor, Arduino UNO, Obstacle Detection, Voice Alert System, Assistive Technology
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Nerella, Ome, Syed Musthak Ahmed, and Praveen Balakrishnan. "Experimental Evaluation of Lightning and Weather Alert Methods in Rural India using LoRa and IoT Technology with Nanosensors." Journal of Nanomaterials 2023 (April 21, 2023): 1–18. http://dx.doi.org/10.1155/2023/7734847.

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Every year, ∼2,000 people are killed by lightning in India, with rural areas accounting for 94% of all lightning deaths. In rural locations, a weather and lightning alert system is crucial for alerting and raising awareness about severe weather and lightning. Only a few states in India have expensive lightning alert systems that send out alerts via SMS and mobile apps. Due to a lack of information about weather alert apps, poor network facility, low literacy, and less usage of smartphones, existing alert mechanisms is not reaching all rural populations. As a result, there is a need to build a low-cost lightning alert system in rural areas that alerts and creates awareness in advance about lightning to rural residents using a variety of alerting methods, such as announcements, sirens, WhatsApp, voice call alerts, and email, in addition to existing alert methods to overcome limitations of existing systems. In order to achieve this, we have developed an IoT- and long range (LoRa)-based weather stations, gateways, and announcement systems using ESP32, nanosensors (DHT11, BMP180, rain sensor, and LDR), lightning detector (AS3935), lightning emulator, Arduino Nano, SD card module, and speakers. This prototype is tested in real time by creating lightning radiation using an emulator shield and by monitoring environmental parameters. It sends an alert to authorized persons/village government officials/rural communities through WhatsApp, email, and voice call about abnormal weather situations with the help of cloud platforms. It also alerts and creates safety awareness to rural people in advance about lightning/critical weather condition through announcement system using loudspeakers. In the future, the proposed system will be trained using artificial intelligence to predict the lightning and other hazardous weather situations in advance and alert rural residents about critical weather conditions in early.
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Cooper, Molly, Yair Levy, Ling Wang, and Laurie Dringus. "Subject matter experts’ feedback on a prototype development of an audio, visual, and haptic phishing email alert system." Online Journal of Applied Knowledge Management 8, no. 2 (2020): 107–21. http://dx.doi.org/10.36965/ojakm.2020.8(2)107-121.

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Phishing emails, also defined as email spam messages, present a threat to both personal and organizational data loss. About 93% of cybersecurity incidents are due to phishing and/or social engineering. Users are continuing to click on phishing links in emails even after phishing awareness training. Thus, it appears that there is a strong need for creative ways to alert and warn users to signs of phishing in emails. ‘System 2 Thinking Mode’ (S2) describes an individual in a more aware state of mind when making important decisions. Ways to trigger S2 include audio alerts, visual alerts, and haptic/vibrations. Assisting the user in noticing signs of phishing in emails could possibly be studied through the delivery of audio, visual, and haptic (vibration) alerts and warnings. This study outlines the empirical results from 32 Subject Matter Experts (SMEs) on an initial prototype design and development of an email phishing alert and warning system. The prototype will be developed to alert and warn users to the signs of phishing in emails in an attempt to switch them to an S2 state of mind. The preliminary results of the SMEs indicated that several features for a phishing alert and warning system could be assembled, resulting in a mobile phishing alert and warning prototype. Visual icons were chosen for each sign of phishing used in the prototype, as well as voice over warnings and haptic vibrations. The preliminary results also determined task measurements, ‘ability to notice’, and ‘time to notice’ signs of phishing in emails.
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Perera, S., D. A. Nace, C. M. Culley, S. M. Handler, and R. D. Boyce. "A Survey of Nursing Home Physicians to Determine Laboratory Monitoring Adverse Drug Event Alert Preferences." Applied Clinical Informatics 05, no. 04 (2014): 895–906. http://dx.doi.org/10.4338/aci-2014-06-ra-0053.

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SummaryObjective: We conducted a survey of nursing home physicians to learn about (1) the laboratory value thresholds that clinical event monitors should use to generate alerts about potential adverse drug events (ADEs); (2) the specific information to be included in the alerts; and (3) the communication modality that should be used for communicating them.Methods: Nursing home physician attendees of the 2010 Conference of AMDA: The Society for Post-Acute and Long-Term Care Medicine.Results: A total of 800 surveys were distributed; 565 completed surveys were returned and seven surveys were excluded due to inability to verify that the respondents were physicians (a 70% net valid response rate). Alerting threshold preferences were identified for eight laboratory tests. For example, the majority of respondents selected thresholds of ≥ 5.5 mEq/L for hyperkalemia (63%) and ≤ 3.5 without symptoms for hypokalemia (54%). The majority of surveyed physicians thought alerts should include the complete active medication list, current vital signs, previous value of the triggering lab, medication change in the past 30 days, and medication allergies. Most surveyed physicians felt the best way to communicate an ADE alert was by direct phone/voice communication (64%), followed by email to a mobile device (59%).Conclusions: This survey of nursing home physicians suggests that the majority prefer alerting thresholds that would generally lead to fewer alerts than if widely accepted standardized laboratory ranges were used. It also suggests a subset of information items to include in alerts, and the physicians’ preferred communication modalities. This information might improve the acceptance of clinical event monitoring systems to detect ADEs in the nursing home setting.Citation: Boyce RD, Perera S, Nace DA, Culley CM, Handler SM. A survey of nursing home physicians to determine laboratory monitoring adverse drug event alert preferences. Appl Clin Inf 2014; 5: 895–906http://dx.doi.org/10.4338/ACI-2014-06-RA-0053
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Koo, Jeamin, Dongjun Shin, Martin Steinert, and Larry Leifer. "Understanding driver responses to voice alerts of autonomous car operations." International Journal of Vehicle Design 70, no. 4 (2016): 377. http://dx.doi.org/10.1504/ijvd.2016.076740.

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Shruti Mallikarjun. "Smart Mobility Assistant for the Visually Impaired: Integrating Machine Learning and Sensor Technology." Journal of Information Systems Engineering and Management 10, no. 44s (2025): 1069–80. https://doi.org/10.52783/jisem.v10i44s.8702.

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Facilitating the safety and autonomy of visually impaired persons in traversing their environments is an essential goal. This work presents the development of a comprehensive assistive kit that leverages Raspberry Pi technology to empower visually impaired users. The kit integrates ultrasonic sensors for obstacle detection, machine-learning models for object recognition, voice alerts, facial recognition for person identification, and indoor localization using RSSI (Received Signal Strength Indicator) modules. The core functionality of the system lies in real-time environmental monitoring through ultrasonic sensors, which detect obstacles in the user's path. Upon detection, a pre-trained deep learning model identifies the nature of the obstacle—whether it be a chair, door, or other objects - and delivers auditory alerts to the user via voice synthesis. The system also employs facial recognition algorithms to identify familiar individuals, enabling users to confidently recognize and interact with acquaintances.
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Chacko, Renit, Revathy Sathyan, Risa Moncy, Sona Mariyam Shajee, and Ms Kavitha .S. "Intelligent Assistive Cane for Visually Impaired." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43562.

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The creation of an Intelligent Assistive Cane to improve the safety and mobility of people with vision impairments is presented in this paper. To provide real-time obstacle identification and navigation guidance, the cane combines a number of state-of-the-art technologies, such as ultrasonic sensors, a buzzer, voice aid, and a vibration motor. To identify impediments within a certain range, ultrasonic sensors are positioned strategically on the cane. The buzzer emits an audible alert upon detection, and the vibration motor provides haptic feedback to direct the user toward safe routes. Voice help also provides spoken directions and alerts, enabling the user to confidently traverse their environment.By combining these technologies, the cane can recognize impediments like walls, poles, and stairs with accuracy and send out signals in a timely manner. For those who are visually challenged, this creative method greatly lowers the chance of accidents and enhances their general quality of life. Keywords: obstacle detection, assistive technology, microcontroller , ultrasonic sensor
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Dissertations / Theses on the topic "Voice alerts"

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Finch, Steven W. "Telephone Voice Alert: system planning and design." Thesis, Virginia Tech, 1989. http://hdl.handle.net/10919/45936.

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<p>The Telephone Voice Alert is divided into six parts: the ring detector, controller, voice memory, synthesizer, speaker, and power supply subsystems. These all interact together to produce a voice signal whenever a ring signal is detected. By beginning from the system function and analyzing the components as we break the system into subsystems, we find that the trade-off between system cost and system "effectiveness" minimizes to prove Configuration A (digital voice reproduction) a more effective means. Further testing and development is necessary, however, as the design must be "fine-tuned" in order to insure proper function.</p><br>Master of Science
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Akarapu, Deepika. "Object Identification Using Mobile Device for Visually Impaired Person." University of Dayton / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1628092619349812.

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Jiun-Yi, Li, and 李俊億. "An Infrared Falling-Prevent Warning System with Voice Alert for Hospital Bed." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/18116946041188714533.

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碩士<br>建國科技大學<br>電機工程系暨研究所<br>100<br>The design concept of this thesis is to achieve the intelligent control of An Infrared Falling-Prevent Warning System with Voice Alert for Hospital Bed by using a system-on-chip. This structure is small, compact in size and lightweight, fast to react, and easy to use. It can help front-line medical personnel to prevent specific inpatient out of bed intentionally or accidentally. In addition to use voice alert to remind patients do not get out of bed, at the same time the system will issue a alarm sound to remind health care workers to handle the case. By using intelligent control and detection algorithm, this method can avoid disturbances from other light sources. In addition, normal activities such as sitting up, lying down, standing up, movement for the hospitalized patients in bed, will not cause system to malfunction. If a patient attempt to get out of bed or accidentally fell out of bed, this infrared falling-prevent warning system can issue a alarm sound with voice alert. This infrared falling-prevent warning system with intelligent control and detection rules can avoid system malfunction, thus, reduce the unnecessary interference for the hospitalized patients and lessen the work loading of medical staff. Keywords: infrared、fall prevention、intelligent control、detection rules
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Koffler, Viola. "Voice user interfaces : a consumer behavior perspective in the perception and intention to adopt smart speakers in German households." Master's thesis, 2021. http://hdl.handle.net/10400.14/35355.

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Voice user interfaces have become increasingly popular, and many consumer-level products containing this technology have been launched to the market. One of these products is the smart speaker, which shows high potential for consumer adoption. Companies will be interested in entering this lucrative market, simplifying people’s life and making the smart speaker a mainstream product. However, not many studies focus on the consumer behavior perspective. This dissertation aims to explore factors that influence the perception and intention to use smart speakers in German households, by proposing and analyzing an extended technology acceptance model (TAM). Data includes secondary data as well as primary data, from qualitative and quantitative analysis. The result showed that the factors attitude, household size for users and non-users and perceived usefulness, social influence and interest in innovation influences the intention to use smart speaker, whereas the perception and attitude is influenced by perceived usefulness (PU) and privacy concerns. Following these study results, companies should try to optimize the features of smart speaker to guarantee a higher perceived usefulness, tackle privacy concerns and investing in right targeted consumer group marketing campaigns. This study gives a solid basis for further research in the field of voice user interfaces and gives managerial implications for companies.<br>As interfaces de voz de utilizador têm-se tornado cada vez mais populares, e muitos produtos a nível do consumidor que contêm esta tecnologia têm sido lançados no mercado. Um destes produtos é a coluna inteligente, que mostra um elevado potencial para a adopção pelo consumidor. Empresas estarão interessadas em entrar neste mercado lucrativo, simplificando a vida das pessoas e tornando o altifalante inteligente num produto padrão. No entanto, não há muitos estudos que se concentrem na perspectiva do comportamento do consumidor. Esta dissertação visa explorar factores que influenciam a percepção e intenção de utilizar colunas inteligentes em lares alemães, propondo e analisando um modelo de aceitação de tecnologia alargada (TAM). Os dados incluem dados secundários, bem como dados primários, de análises qualitativas e quantitativas. O resultado mostrou que os aspetos atitude do usuário, o tamanho do agregado familiar de utilizadores e não-utilizadores e a percepção da utilidade, influência social e interesse na inovação influenciam a intenção de utilizar falantes inteligentes, enquanto que a percepção e atitude é influenciada pela percepção da utilidade (PU) e preocupações de privacidade. Na sequência destes resultados do estudo, as empresas devem tentar optimizar as características do "smart speaker" para garantir uma maior percepção da utilidade, lidar com as preocupações de privacidade e investir em campanhas de marketing de grupos de consumidores bem direccionadas. Este estudo fornece uma base sólida para uma maior investigação no campo das interfaces de voz de utilizador e dá implicações de gestão para empresas.
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Books on the topic "Voice alerts"

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Evans, Jennifer. Men’s Sexual Health in Early Modern England. Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789462986480.

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How did men cope with sexual health issues in early modern England? This vivid history investigates how sexual, reproductive, and genitourinary conditions were understood between 1580 and 1740. Drawing on medical sources and personal testimonies, it reveals how men responded to bouts of ill health and their relationships with the medical practitioners tasked with curing them. In doing so, this study restores men’s health to medical histories of reproduction, demonstrating how men’s sexual self-identity was tied to their health. Charting genitourinary conditions across the life cycle, the book illustrates how fertility and potency were key to medical understandings of men’s health. Men utilized networks of care to help them with ostensibly embarrassing and shameful conditions like hernias, venereal disease, bladder stones, and testicular injuries. The book thus offers a historical voice to modern calls for men to be alert to, and open about, their own bodily health.
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Wolf, Richard K. The Voice in the Drum. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038587.003.0009.

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This chapter describes Muharram Ali's conversations with a dhol player named Hashim about the drumming rituals as well as the drummers and the drum patterns in Karachi. Hashim also talked about how he and the other dhol players would take turns beating the four tarzs: savārī, mātam, kalmah, and dhīmā. Ali raised for discussion the Bharatpur group's idea about the kalmah pattern. According to Hashim, those on procession get enjoyment (mazah) out of Muharram drumming in general and that such drumming alerts those in the area to what is going on. Ali also made notes and comments on Census of India report (1961) on Muharram in Delhi, Lucknow and Hyderabad. Finally, he acknowledged that the verbal meanings of the drum patterns were cloaked in clouds of subjectivity and hazy memory.
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Issa, Tözün. Alevis in Europe: Voices of Migration, Culture and Identity. Taylor & Francis Group, 2016.

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Alevis in Europe: Voices of Migration, Culture and Identity. Taylor & Francis Group, 2016.

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Issa, Tözün. Alevis in Europe: Voices of Migration, Culture and Identity. Taylor & Francis Group, 2016.

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Welsh, Kariamu, Esailama G. A. Diouf, and Yvonne Daniel, eds. Hot Feet and Social Change. University of Illinois Press, 2019. http://dx.doi.org/10.5622/illinois/9780252042959.001.0001.

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The popularity and profile of African dance have exploded across the African diaspora in the last fifty years. Hot Feet and Social Change presents traditionalists, neo-traditionalists, and contemporary artists, teachers, and scholars telling some of the thousands of stories lived and learned by people in the field. Concentrating on eight major cities in the United States, the essays explode myths about African dance while demonstrating its power to awaken identity, self-worth, and community respect. These voices of experience share personal accounts of living African traditions, their first encounters with and ultimate embrace of dance, and what teaching African-based dance have meant to them and their communities. Throughout, the editors alert readers to established and ongoing research, and provide links to critical contributions by African and Caribbean dance experts.Contributors: Ausettua Amor Amenkum, Abby Carlozzo, Steven Cornelius, Yvonne Daniel, Charles “Chuck” Davis, Esailama G. A. Diouf, Indira Etwaroo, Habib Iddrisu, Julie B. Johnson, C. Kemal Nance, Halifu Osumare, Amaniyea Payne, William Serrano-Franklin, and Kariamu Welsh
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Riley, Barry. The World Food Conference. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190228873.003.0017.

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Just before leaving the White House to assume his duties as secretary of state, Kissinger alerted top Agriculture officials in Washington that the president was increasingly concerned with the growing world food crisis. Among the responses was word that the American food aid program was not going to be able to meet its global food aid commitments because of the combination of high food prices and budgetary constraints. Shortly thereafter Kissinger publicly called for the convening of a World Food Conference to consider the problem and propose long-term remedies. This chapter describes interagency debates over what the United States should—and should not—promise in the conference. It highlights the difference between domestic agriculture interests, represented by Secretary of Agriculture Butz, foreign policy interests, exemplified by Kissinger, humanitarian concerns, voiced by Senator Humphrey, and the perspective of the new president, Gerald Ford.
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Broad, Jacqueline, and Karen Detlefsen, eds. Women and Liberty, 1600-1800. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198810261.001.0001.

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This book addresses the theme of liberty as it is found in the writing of women philosophers of the seventeenth and eighteenth centuries, or as it is theorized with respect to women and their lives. It covers both theoretical and practical philosophy, with chapters on problems in the metaphysics of free will (both human and divine), the liberty (or lack thereof) of women in their moral, personal lives as well as their social-political, public lives, and the interactions between the metaphysical and normative issues. The chapters draw upon writing of both women and men, and notably, upon a wide range of genres, including more standard philosophical treatises as well as polemical texts, poetry, plays, and other forms of fiction. As such, this book alerts the reader to the wide range of conceptions of what counts as a philosophical text in the early modern period. Several chapters also deal with the relation between early modern and contemporary ways of thinking about the theme of women and liberty, thus urging the reader to appreciate the continuing importance of these earlier philosophers in the history of philosophy and of feminism. Ultimately, the chapters in this text show how crucial it is to recover the too-long forgotten views of female and women-friendly male philosophers of the seventeenth and eighteenth centuries, for in the process of recovering these voices, our understanding of philosophy in the early modern period is not only expanded, but also significantly altered towards a more accurate history of our discipline.
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Mendelle, Noe. Sculpting the Spirits. University of Edinburgh, 2024. http://dx.doi.org/10.2218/ed.9781836450610.

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Mendelle and Luis Correia (co-director &amp; co-producer) were the first filmmakers to visit the Bijagós archipelago and, after spending time with the village chiefs, were invited by them to film their daily life, beliefs, and rituals. Mendelle and her team lived with them for extended periods, twice yearly for 5 years. The elders, alert to radical changes coming their way and conscious that their culture is only orally transmitted, saw a unique opportunity to document their way of life and preserve it for future generations. Their collaboration was essential, both in terms of access and understanding the meaning of their rituals, but more importantly how they perceived change. The film gives voices to the Bijagós in their language without any commentary.However, unknown to the film makers and the islanders at the time, the film ended up capturing their downfall and their absorption into a modern capitalist and global society. The film explores how, in the context of a tribe, the dialogue between generations involves other layers of power beyond the living and how their philosophy of life will be affected by their cultural transformation. Through observation of two main protagonists in a father/son relationship, the audience begins to understand the cultural gap growing between two generations. This is universal to most cultures, but for the Bijagós any change threatens the equilibrium between human beings, nature and the spirits who contribute to tribal decisions about daily and social life. The film premiered 15 September 2014 at the Gulbenkian Museum of Modern Art, Lisbon, Portugal.
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Chapman, Michael. Literary Transactions in South Africa. Bloomsbury Publishing Inc, 2025. https://doi.org/10.5040/9798765122792.

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A representative overview of some of the most pressing concerns in contemporary literary criticism in South Africa, demonstrating literary form's shaping power in the interpretation of politically contentious content. Rather than pressing literature into the service of a political cause or programme, this study's purpose – its politics of interpretation – is to open literature to the potential of human experience in both the personal and the public life. The society of focus – South Africa – is a society of political contestation. Instead of prioritizing thewhatof contestation, however, Michael Chapman explores contestation through thehowof the literary work. In sharp transactions between an intransitivity of form and a compulsion to communicate, the book elucidates an ethics of aesthetics in J. M. Coetzee and Nadine Gordimer, and the best of modernism and the worst of modernism in Roy Campbell’s poetry. It also asks: Can Themba’s ‘style’ of the shebeens in the 1950s be re-visited in a contemporary context of gender-based abuse? Why or how are Ellen Kuzwayo and Mtutuzeli Matshoba, writing in the ‘struggle’ years of the 1970s, simultaneously less than artists and more than artists? Has the interpretative frame of the ‘postcolonial’ best served fiction after apartheid? What language of interpretation best releases the voices of contemporary women’s poetry: a poetry which in its play on identities and identifications looks both inwards to its locality and outwards to the globe? Alert to both South Africa’s colonial past and its assertions of today,Literary Transactions in South Africapursues the challenge of interpreting a literature of disjuncture between Africa and the West, or the South and the North.
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Book chapters on the topic "Voice alerts"

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Chen, Jia, Xiaolei Chen, Jie Shi, Peng Wang, and Wei Wang. "VOCE: A Virtual On-Call Engineer for Automated Alert Incident Analysis Using a Large Language Model." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90900-9_4.

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Abstract In a service system, operations engineers generally deploy numerous monitoring mechanisms in system components to detect anomalies caused by system faults and generate alerts, also known as alarms, that record the phenomenon of anomalies. Due to the topological relationships between system components, a system fault in a system component may affect other components and result in various local anomalies and generate multiple alerts across different components. Therefore, to facilitate troubleshooting, alerts of the same system fault are usually correlated into one group, called alert incident. However, although there are existing approaches that can automatically correlate alerts for operations engineers, analyzing alert incidents still rely on manual work. In this paper, we propose an approach, VOCE (Virtual On-Call Engineer). Using the emerging capabilities of a large language model, VOCE can automatically comprehend the anomaly information described by alerts and emulate the process of operations engineers analyzing an alert incident. Extensive experiments conducted on real alert incidents and two popular large language models demonstrate the effectiveness and efficiency of VOCE in automatically analyzing alert incidents.
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Sharma, Gaurav, Shachi Jain, Srishti Prakash, and Kumari Bharti. "AI Based Alert Voice App for Customer." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8727-3_18.

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Sinthia, P., R. Karpaga Priya, S. Kavitha, M. Malathi, and K. Suresh Kumar. "IoT-Based Smart Pill Box and Voice Alert System." In Emerging Trends in Expert Applications and Security. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1909-3_12.

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Sharma, Reya, Y. Sathvika, T. Sai Sreeja, and P. Pratyusha. "Traffic Sign Board Recognition and Voice Alert System Using Deep Convolutional Neural Network." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2839-8_46.

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Akkalkot, Afsha, Rashmi Ashtagi, Umme Habiba Maginmani, et al. "A prototype for a blind navigation system based on GPS voice alert system using ultrasonic sensor." In Artificial Intelligence and Information Technologies. CRC Press, 2024. http://dx.doi.org/10.1201/9781032700502-47.

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Moreno, Rubén, Fernanda Romero, Alberto Ochoa-Zezzatti, Luis Vidal, and Elías Carrum. "IoT Applied to Slowing the Effects on Pets Trapped in a Wildfire After a CONAGUA Alert Using an Intelligent Voice-Recognition Assistant." In Benchmarks and Hybrid Algorithms in Optimization and Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3970-1_13.

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Ghosh, Manthan, and Deepa Das. "Voice-Activated SOS." In Advances in Computational Intelligence and Robotics. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-2679-4.ch016.

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In an era marked by technological innovation, the convergence of artificial intelligence (AI) and wearable technology has yielded transformative solutions. Among these, the Voice-Activated SOS feature stands as a pioneering advancement, revolutionizing personal safety by harnessing the power of AI to respond swiftly to distress calls. This chapter provides a comprehensive exploration of this groundbreaking technology, offering insights into its development, functionality, and its profound impact on personal security. At the heart of the Voice-Activated SOS feature lies advanced voice recognition AI, capable of distinguishing distress signals from regular speech. This technology, seamlessly integrated into wearable devices, empowers users to activate a distress call with a simple voice command. Once activated, the device initiates a rapid communication workflow, transmitting alerts to designated emergency contacts along with real-time location data.
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Kumar, Dhilip, Swathi P., Ayesha Jahangir, Nitesh Kumar Sah, and Vinothkumar V. "Intelligent Speech Processing Technique for Suspicious Voice Call Identification Using Adaptive Machine Learning Approach." In Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6870-5.ch025.

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With recent advances in the field of data, there are many advantages of speedy growth of internet and mobile phones in the society, and people are taking full advantage of them. On the other hand, there are a lot of fraudulent happenings everyday by stealing the personal information/credentials through spam calls. Unknowingly, we provide such confidential information to the untrusted callers. Existing applications for detecting such calls give alert as spam to all the unsaved numbers. But all calls might not be spam. To detect and identify such spam calls and telecommunication frauds, the authors developed the application for suspicious call identification using intelligent speech processing. When an incoming call is answered, the application will dynamically analyze the contents of the call in order to identify frauds. This system alerts such suspicious calls to the user by detecting the keywords from the speech by comparing the words from the pre-defined data set provided to the software by using intelligent algorithms and natural language processing.
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Nancy, Dr W., D. Jayasri, P. Abinayashree, et al. "WEARABLE SMART SYSTEM FOR VISUALL IMPAIRED PEOPLE." In Artificial Intelligence and Machine Learning in Smart Wearables. Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd., 2025. https://doi.org/10.58532/nbennuraimlsw6.

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Wearable smart systems, leveraging Artificial Intelligence (AI) and Internet of Things (IoT), empower visually impaired individuals with greater independence and safety. Integrating sensors, cameras, and AI, these devices detect obstacles, identify objects, and provide real- time feedback. Ultrasonic sensors and depth cameras gather environmental data, enabling navigation through crowded spaces and hazard avoidance. Assistive Technology features like voice prompts and tactile alerts ensure discreet guidance. Bluetooth and GPS connectivity integrate with smartphones for turn-by-turn navigation and emergency notifications. Challenges include high costs and varying sensor accuracy. However, AI- driven advancements will enhance object detection and customization. Wearable smart systems will significantly improve the lives of visually impaired individuals, fostering independence and confidence.
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Bhrugubanda, Uma Maheswari. "Conclusion." In Deities and Devotees. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199487356.003.0007.

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As Walter Benjamin observed, modernity ushered in not only new political forms, but also new audio–visual technologies which revolutionized human perception. While Foucault reveals the new political rationalities which come into operation in the modern era, Benjamin alerts us to the fact that this operation is made visible in particular ways by film and other media technologies. Therefore, this concluding chapter focuses on the significant ways in which the new perceptual apparatus of the cinema and the media partake in the production of the citizen–devotee. This chapter begins by examining the significance of the use of double endings, voice-overs, and documentary footage in many mythological and devotional films. It then proceeds to examine the shifting relation between cinema and other media to demonstrate the ways in which they produce the ‘reality’ of popular religion. It argues that cinema becomes a key audio–visual archive in this process.
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Conference papers on the topic "Voice alerts"

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Raj, Abhinav, Ankit Kumar, Niranjan B G, Kamal Pandey, L. Swetha, and Sanjeevakumar M. Hatture. "Traffic Sign Recognition with Voice Alerts." In 2025 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2025. https://doi.org/10.1109/ickecs65700.2025.11036037.

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S, Dharshiniya, and Daniel Madan Raja S. "IoT Network Intrusion Detection with Deep Learning and Voice Alerts." In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). IEEE, 2024. https://doi.org/10.1109/icicnis64247.2024.10823385.

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Priya, D. Divya, P. Chinnasamy, Ramesh Kumar Ayyasamy, Ajmeera Kiran, Norazira Binti A Jalil, and Anbuselvan Sangodiah. "Smart Drive Safe: Harnessing CNN for Enhanced Traffic Sign Recognition and Voice Alerts." In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024. http://dx.doi.org/10.1109/icesc60852.2024.10690129.

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Balomaga, Laurence Kenneth A., Dan Michael A. Cortez, Charmaine Allyson P. Reyes, Criselle J. Centeno, Raymund M. Dioses, and Leisyl M. Mahusay. "ProxiSense: IoT Smart Blind Stick with Voice Alerts for Obstacle and Water Hazard Detection." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910325.

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Srinivas, R., R. Sumathi, N. Mokshith, P. Somesh Kumar, and P. Nithya Siva Sai. "Intelligent Surveillance with Real Time Object Detection Coupled with Distance Estimation and Voice Alerts." In 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2024. https://doi.org/10.1109/iceca63461.2024.10800875.

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Sivaraj, D., Ram Sundar M, Sathish B, Suman M, and Madeshwaran S. "Integrated Face Counting and Quick Response (QR) Object Detection with Voice-Based Alerts: A Smart Vision System." In 2024 9th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2024. https://doi.org/10.1109/icces63552.2024.10860242.

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Pandiaraja, P., R. Venkatramani, R. Arunraj, P. Rajesh Kanna, G. Mahendran, and T. Suresh. "Home Security Voice based Alert System using IoT." In 2024 5th International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2024. http://dx.doi.org/10.1109/icosec61587.2024.10722502.

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Mahender, K., Sai Nikhil Malvekar, Ryagati Naveen, Wakiti Pavan Kumar, and Kalagotla Chenchireddy. "Smart Energy Meter with Theft Detection and Voice Alert." In 2025 7th International Conference on Inventive Material Science and Applications (ICIMA). IEEE, 2025. https://doi.org/10.1109/icima64861.2025.11074139.

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- Marcel Petermann, Felix, Ole Andreas Alsos, Erik Styhr Petersen, Malene Liavaag, and Julie Karine Schmidt Solberg. "Increasing the Usability of Audio Alerts with Voice Instructions on Ship’s Bridges." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001563.

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The goal of this study was to determine how audio alarms with voice instructions affect the time required for the cause of an alarm message to be recognised by operators on a ship's bridge compared with presently used alarm signals. [Method]Four distinct alert messages with speech cues was created for this study. These were evaluated in a ship simulator where a team of two operator was directing a high-speed catamaran in sheltered waters. At irregular intervals, the operators were presented with four different error messages to which they had to respond. The intervention group (n=12) was given alarm messages with speech cues and conventional alerts with signal tones. All participants performed identical navigation scenarios, and the times required by operators to discover and identify the alarms and correct the problem was measured. In a post-testing interview a subjective estimation of the test participants were collected. [Results]The preliminary findings indicate that a combination of sound and voice commands (1) gives more information about what is wrong, (2) are faster to locate and respond to, (3) have a higher degree of memorability, (4) have a higher degree of user satisfaction, and (5) increases the users situation awareness. The test participants who just received the alarm tones took longer to locate the source of the problem since they had to go around the bridge to discover the precise location because the tones are only distinguishable to a limited extent. Some people were irritated by the auditory tones, while others just disregarded them for a short period of time. Voice instructions were seen to be useful by the test subjects, especially when many warning messages were obtained at the same time, according to their subjective evaluation. The voice commands assist in determining the severity of the problem and its location, as well as determining which issues require immediate attention. [Conclusion]In this study, we compared traditional alerts with the use of augmented alerts with voice instructions in a ship simulator with a crew of nautical students (N = 12) playing out a complex navigation scenario. We found that alerts with voice instructions were easier to learn and understand, and they made it faster and easier to locate the equipment that caused the alert, thus allowing the crew to direct more attention to navigational procedures.
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Kambampati, Harish, Damon Berry, Julie Doyle, et al. "A Monitoring Automation Recipe Cookbook: Simple Open-Source Solutions for Home-Based Support of People Living with Dementia and Their Caregivers." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006012.

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Activities of Daily Living (ADLs) are vital to maintaining quality of life among People Living with Dementia (PLwD), whose cognitive impairment often impacts independence in daily activities. This paper presents smart home automation "recipes" that can assist ADLs, particularly bathing—safely one of the most complex due to safety risks like falls and burns. The automation recipes incorporate open-interface sensors, motion detection, and real-time alerts, with features targeted at dementia progression stages.Interventions at early stages include voice reminders and water temperature automatic adjustments; middle-stage features include safety reminders, activity-based inactivity detection, and water shut-off; caregiver-aided monitoring forms the interventions at late stages. The ergonomically and cognitively designed intuitive dashboard of the system allows caregivers to easily select and customize automation sequences based on special needs.Central design elements—e.g., large touch-sensitive buttons, high contrast screens, and voice-controlled commands—encourage use by both caregivers and PLwD. By facilitating safer, more independent bathing and reducing the need for constant supervision, the system reduces caregiver burden. Human factors and ergonomics are central to making such solutions practical, accessible, and effective for dementia care in the home.
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