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Journal articles on the topic 'Voice Variations'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Pörschmann, Christoph, and Johannes M. Arend. "Investigating phoneme-dependencies of spherical voice directivity patterns II: Various groups of phonemes." Journal of the Acoustical Society of America 153, no. 1 (2023): 179–90. http://dx.doi.org/10.1121/10.0016821.

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The substantial variation between articulated phonemes is a fundamental feature of human voice production. However, while the spectral and temporal aspects of the phonemes have been extensively studied, few have investigated the spatial aspects and analyzed phoneme-dependent differences in voice directivity. This paper extends our previous research focusing on the directivity patterns of selected vowels and fricatives [Pörschmann and Arend, J. Acoust. Soc. Am. 149(6), 4553–4564 (2021)] and examines different groups of phonemes, such as plosives, nasals, voiced alveolars, and additional fricati

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Irwan, Irwan, Hendra Eka Putra, and Rahmadani Rahmadani. "Students' Variation In Translating English Passive Voice Into Bahasa Indonesia." Langkawi: Journal of The Association for Arabic and English 4, no. 2 (2018): 91. http://dx.doi.org/10.31332/lkw.v4i2.897.

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This article was focused on analyzing students’ variation in translating English passive voice into Bahasa Indonesia. The data was taken from the final examination results of Translation I subject. There were 91 documents. Data were analyzed based on the theory of translation variation. There were 137 translation variations found after analyzing the students’ translation results. The variations of students’ translations were “(had) being banned” 8 translated variation, “was brought down in” 13 translated variation, “be sentenced” 7 translated variations, “(is) given by” 7 translated variations

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Ahamed, Mohamed Rasmi Ashfaq, Mohammad Hossein Babini, and Hamidreza Namazi. "Complexity-based decoding of the relation between human voice and brain activity." Technology and Health Care 28, no. 6 (2020): 665–74. http://dx.doi.org/10.3233/thc-192105.

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BACKGROUND: The human voice is the main feature of human communication. It is known that the brain controls the human voice. Therefore, there should be a relation between the characteristics of voice and brain activity. OBJECTIVE: In this research, electroencephalography (EEG) as the feature of brain activity and voice signals were simultaneously analyzed. METHOD: For this purpose, we changed the activity of the human brain by applying different odours and simultaneously recorded their voices and EEG signals while they read a text. For the analysis, we used the fractal theory that deals with t

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Kumari, Sweta, Smita Mishra, Hitesh Kalra, S. Umakanth, and Madhulika Srivastava. "An in-depth examination of management interaction through employee voice dynamics in human resource management." Multidisciplinary Reviews 6 (May 15, 2024): 2023ss088. http://dx.doi.org/10.31893/multirev.2023ss088.

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Voice is a critical employee behavior that promotes ideas, concerns and ideas throughout the company. It is a frequent technique that learning the obstacles of leadership and issues that can affect the functioning of the corporation. In this paper, our primary goal of the research on employee voices, determine fields and the research findings on employee voice can be utilized as well as modified to be applied in other categories that illustrate the result in a more broad conception of employee voice. This review includes the fields of employee voice and Organizational Behavior (OB) coupled wit

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Kompally, Nikshitha, Sony Mohammad, K. Sreekala Dr., N. Rama Krishna Mr., and A. Nagesh Dr. "Echoes of Bhagavad Gita-Shlokas in different Voices and Languages." Recent Trends in Computer Graphics and Multimedia Technology 7, no. 3 (2025): 16–24. https://doi.org/10.5281/zenodo.15551230.

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<em>The project titled “</em><em>Echoes of Bhagavad Gita-shlokas In Voices and Languages” aims to present the timeless teachings of the Bhagavad Gita shlokas in a format that is both linguistically inclusive and aurally diverse. This initiative involves the narration of selected verses in three languages Telugu, English, and Malayalam capturing the essence of the original Sanskrit text while making it accessible to regional and global audiences.</em> <em>The core objective is to explore and document how voice variations—including male and female narrations as well as differen

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Liu, Boquan, Evan Polce, Hayley Raj, and Jack Jiang. "Quantification of Voice Type Components Present in Human Phonation Using a Modified Diffusive Chaos Technique." Annals of Otology, Rhinology & Laryngology 128, no. 10 (2019): 921–31. http://dx.doi.org/10.1177/0003489419848451.

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Purpose: Signal typing has been used to categorize healthy and disordered voices; however, human voices are likely comprised of differing proportions of periodic type 1 elements, type 2 elements that are periodic with modulations, aperiodic type 3 elements, and stochastic type 4 elements. A novel diffusive chaos method is presented to detect the distribution of voice types within a signal with the goal of providing an objective and clinically useful tool for evaluating the voice. It was predicted that continuous calculation of the diffusive chaos parameter throughout the voice sample would all

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Epstein, Melissa. "Voice quality variations in English sentences." Journal of the Acoustical Society of America 111, no. 5 (2002): 2479. http://dx.doi.org/10.1121/1.4778607.

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Pierce, Jenny L., Kristine Tanner, Ray M. Merrill, Lauren Shnowske, and Nelson Roy. "Acoustic Variability in the Healthy Female Voice Within and Across Days: How Much and Why?" Journal of Speech, Language, and Hearing Research 64, no. 8 (2021): 3015–31. http://dx.doi.org/10.1044/2021_jslhr-21-00018.

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Purpose The aims of this study were (1) to quantify variability in voice production (as measured acoustically) within and across consecutive days in vocally healthy female speakers, (2) to identify which acoustic measures are sensitive to this variability, and (3) to identify participant characteristics related to such voice variability. Method Participants included 45 young women with normal voices who were stratified by age, specifically 18–23, 24–29, and 30–35 years. Following an initial acoustic and auditory-perceptual voice assessment, participants performed standardized field voice recor

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Bernard, Catherine. "D.M. Thomas et le "roman d'improvisation" : entre voix et écriture." Recherches anglaises et nord-américaines 21, no. 1 (1988): 13–20. http://dx.doi.org/10.3406/ranam.1988.1186.

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In D.M. Thomas's "improvisational novels" : Ararat, Swallow, Sphinx is voiced the ambiguity of the difficult relations between voice and writing. The form of these three novels, relying on variations laden with intertextual overtones, is meant to emulate the plasticity of oral tales, while the constant disruptions of the text reiterate the underlying yearning for the essential energy of a primeval voice ; such an impossible reconciliation being the founding stone of these textual improvisations.

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Kuo, Ping-Huan, Ssu-Ting Lin, and Jun Hu. "DNAE-GAN: Noise-free acoustic signal generator by integrating autoencoder and generative adversarial network." International Journal of Distributed Sensor Networks 16, no. 5 (2020): 155014772092352. http://dx.doi.org/10.1177/1550147720923529.

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Linear predictive coding is an extremely effective voice generation method that operates through simple process. However, linear predictive coding–generated voices have limited variations and exhibit excessive noise. To resolve these problems, this article proposes an artificial intelligence model that combines a denoise autoencoder with generative adversarial networks. This model generates voices with similar semantics through the random input from the latent space of generator. The experimental results indicate that voices generated exclusively by generative adversarial networks exhibit exce

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Garcia Gondim, Aliana, Ciro Erick de Almeida Brotas, Hercules Gurgel da Silva, Jean Mark Lobo de Oliveira, and Pablo Augusto da Paz Elleres. "DEVELOPMENT OF A SPEECH SYNTHESIZER FOR PORTUGUESE LANGUAGE WITH HARDWARE IMPLEMENTATION." International Journal of Advanced Research 11, no. 10 (2023): 986–91. http://dx.doi.org/10.21474/ijar01/17790.

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This article presents a comprehensive analysis of speech synthesizers developed for the Portuguese language, focusing on hardware implementation and consideration of regional linguistic variations. Three synthesizers (A, B, and C) were evaluated in terms of regional variations, hardware implementation, efficiency, portability, ease of use, voice variation, comprehensibility, Braille compatibility, responsiveness, responsiveness, and resource consumption on mobile devices. The Synthesizer A, despite its moderate efficiency and high portability, stood out for its consideration of regional variat

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Lubis, Donal Fernado, and Diana Anggraeni. "ALLOPHONIC VARIATIONS AS STYLE MARKER OF A VOICE ACTOR." Jurnal Penelitian Humaniora 23, no. 2 (2022): 75–83. http://dx.doi.org/10.23917/humaniora.v23i2.18443.

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This study deals with the allophones of several phonemes pronounced by a voice actor in performing a character in animation movie. It concerns with the stylistic analysis in phonetic and phonology levels that reinforce the voice actor in performance. The data are taken from the utterances spoken by Adam Sandler, the voice actor of Count Dracula in Hotel Transylvania-2. The method of data analysis is through descriptive qualitative based on stylistic and phonetic approaches. By comparing the general American accent with the voice actor’s pronunciation, it is found that the acoustic features of

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Yılmaz, Taner, Furkan Özer, and Fatma Esen Aydınlı. "Laser Reduction Glottoplasty for Voice Feminization: Experience on 28 Patients." Annals of Otology, Rhinology & Laryngology 130, no. 9 (2021): 1057–63. http://dx.doi.org/10.1177/0003489421993728.

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Objectives: Laser reduction glottoplasty is a relatively new surgical procedure for voice feminization on transgender women. This study aims to determine long-term voice results of glottoplasty on transwomen. Methods: Nonrandomized, retrospective, cohort. Tertiary referral center. Endoscopic laser reduction glottoplasty was performed on 28 transwomen. Voice Handicap Index (VHI-30), Transsexual Voice Questionnaire (TVQ), acoustic analysis with /a/ for F0, jitter, shimmer, noise to harmonic ratio and acoustic analysis for speaking F0 were measured before and after surgery. Patients self-evaluate

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Woo, Peak, Raymond H. Colton, and Lee Shangold. "Phonatory Airflow Analysis in Patients with Laryngeal Disease." Annals of Otology, Rhinology & Laryngology 96, no. 5 (1987): 549–55. http://dx.doi.org/10.1177/000348948709600514.

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Phonatory airflow was recorded in 150 patients with various laryngeal diseases and in 60 persons with normal voices. All subjects produced several sustained vowels at different loudness levels. Disturbances of voice due to laryngeal disease may be manifested as variations of mean flow (DC), alternating flow (AC), or as a variation in the amplitude of the frequency components of the airflow signal (frequency spectra). The quantification of airflow characteristics is important if the clinician is to have a better understanding of laryngeal disease. Furthermore, preoperative and postoperative ana

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Haben, C. "Stroboscopic variations in the clinical voice practice." Otolaryngology - Head and Neck Surgery 129, no. 2 (2003): P59—P60. http://dx.doi.org/10.1016/s0194-5998(03)00802-7.

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Karlsson, Inger. "Modelling voice variations in female speech synthesis." Speech Communication 11, no. 4-5 (1992): 491–95. http://dx.doi.org/10.1016/0167-6393(92)90056-d.

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Löfqvist, Anders, and Richard S. McGowan. "Voice source variations during consonant‐vowel transitions." Journal of the Acoustical Society of America 84, S1 (1988): S85. http://dx.doi.org/10.1121/1.2026524.

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Roebel, Axel, and Frederik Bous. "Neural Vocoding for Singing and Speaking Voices with the Multi-Band Excited WaveNet." Information 13, no. 3 (2022): 103. http://dx.doi.org/10.3390/info13030103.

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The use of the mel spectrogram as a signal parameterization for voice generation is quite recent and linked to the development of neural vocoders. These are deep neural networks that allow reconstructing high-quality speech from a given mel spectrogram. While initially developed for speech synthesis, now neural vocoders have also been studied in the context of voice attribute manipulation, opening new means for voice processing in audio production. However, to be able to apply neural vocoders in real-world applications, two problems need to be addressed: (1) To support use in professional audi

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Hong, Zhi Guo, Yong Bin Wang, and Min Yong Shi. "SPN-Based Performance Evaluation for ON-OFF Voice Traffic System." Advanced Materials Research 225-226 (April 2011): 1020–23. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.1020.

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By taking voice traffic system as study object, mathematical modeling methodology was used to investigate different parameters’ variations on system’s performance. Firstly, on the basis of analyzing the characteristics of voice traffic, this paper constructed a Stochastic Petri Net (SPN) model for ON-OFF voice traffic system. Furthermore, average time delay of the system was analyzed and model-based simulation was conducted with Stochastic Petri Net Package (SPNP) 6.0. For different parameters of ON to OFF rate and user’s voice connections, variation trends of number of user’s connections and

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Wu, Wenqin, and Joonwhoan Lee. "Phoneme Recognition in Korean Singing Voices Using Self-Supervised English Speech Representations." Applied Sciences 14, no. 18 (2024): 8532. http://dx.doi.org/10.3390/app14188532.

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In general, it is difficult to obtain a huge, labeled dataset for deep learning-based phoneme recognition in singing voices. Studying singing voices also offers inherent challenges, compared to speech, because of the distinct variations in pitch, duration, and intensity. This paper proposes a detouring method to overcome this insufficient dataset, and applies it to the recognition of Korean phonemes in singing voices. The method started with pre-training the HuBERT, a self-supervised speech representation model, on a large-scale English corpus. The model was then adapted to the Korean speech d

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Kreiman, Jody, Bruce R. Gerratt, Gail B. Kempster, Andrew Erman, and Gerald S. Berke. "Perceptual Evaluation of Voice Quality." Journal of Speech, Language, and Hearing Research 36, no. 1 (1993): 21–40. http://dx.doi.org/10.1044/jshr.3601.21.

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The reliability of listeners’ ratings of voice quality is a central issue in voice research because of the clinical primacy of such ratings and because they are the standard against which other measures are evaluated. However, an extensive literature review indicates that both intrarater and interrater reliability fluctuate greatly from study to study. Further, our own data indicate that ratings of vocal roughness vary widely across individual clinicians, with a single voice often receiving nearly the full range of possible ratings. No model or theoretical framework currently exists to explain

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Lee, Haneul, and Harim Kwon. "Cross-linguistic voice variations in Korean-English bilinguals." Journal of the Acoustical Society of America 156, no. 4_Supplement (2024): A47. https://doi.org/10.1121/10.0035056.

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Languages often exhibit distinct pitch ranges and voice qualities. To investigate how bilingual speakers modulate their voice quality and pitch in their two languages, this study examines voice variation in Korean-English bilingual speakers. We recorded 30 Korean-English bilinguals (F = 15, all more dominant in Korean) reading “The North Wind and the Sun” in their two languages, and measured F0, SHR, and two spectral tilt measures (H1*-H2*, H1*-A1*) at 5 ms intervals in all sonorant sounds. The results showed that the bilingual speakers’ two languages were indeed different as reflected in the

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Shetye, Avanti S., and Carol Y. Espy‐Wilson. "Analysis of modal and creaky voice quality variations." Journal of the Acoustical Society of America 118, no. 3 (2005): 1965. http://dx.doi.org/10.1121/1.4781629.

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Timerbulatov, I. S., E. E. Savelieva, R. M. Pestova, I. I. Zagidullina, and R. S. Timerbulatov. "Assessment of the possibility of acoustic voice analysis." Meditsinskiy sovet = Medical Council, no. 7 (May 24, 2025): 185–90. https://doi.org/10.21518/ms2025-029.

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Introduction. Voice disorders occur in approximately 30% of the country’s population. The most studied characteristics of the voice include fundamental frequency, pitch and amplitude, harmonic-to-noise ratio, cepstral peak severity, acoustic quality index of voice, maximum phonation time, variations in fundamental frequency and number of pauses in speech signals.Aim. Literature review assessing the possibility of acoustic voice analysis in patients with dysphonia.Materials and methods. The authors searched for publications in the electronic databases PubMed, Web of Science, Google Scholar and

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Lavin, Mathias. "Variations in Minor Mode: The Question of Accent in Chantal Akerman’s Cinema." Comparative Cinema 12, no. 22 (2024): 36–51. http://dx.doi.org/10.31009/cc.2024.v12.i22.03.

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This article looks at the question of the accent in cinema, i.e. the latent, inaudible, often spectral dimension of our listening to films. By analyzing certain accents in film, we are reminded of the extent to which they testify to the irreducible presence of the body in the voice. In this way, we are placed at the center of any interrogation of the filmic voice. The corpus of study is taken entirely from the work of Chantal Akerman. This work first shows a tension between denial and the discreet presence of the Belgian accent (Walloon accent from Brussels). Moreover, the filmmaker’s voice in

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Ilić-Savić, Ivana, and Mirjana Petrović-Lazić. "Comparison of voice acoustic parameters in persons with organic voice disorders." Acta Facultatis Medicae Naissensis 41, no. 3 (2024): 376–83. http://dx.doi.org/10.5937/afmnai41-48292.

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Introduction/Aim. Voice is an acoustic phenomenon that must be viewed multidimensionally. In the quantitative assessment of voice characteristics, the use of acoustic parameters becomes a necessary method of analysis. The aim of the paper is to examine whether there are differences in the acoustic parameters of the voice (the average value of the fundamental frequency - Fo, variations in the height of the fundamental frequency - Jita, and variations in the intensity of the fundamental tone of the larynx - ShdB in people with organic voice disorders with reference to gender and age). Methods. T

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Mahfudz, Ahnan Al Faruq, and Givi Efgivia Mohammad. "Enhancing Biometric Security: A Robust Voice Frequency Detector with CNN-BiLSTM and Anti-Spoofing Mechanisms." International Journal of Emerging Research in Engineering, Science, and Management 4, no. 2 (2025): 14–22. https://doi.org/10.58482/ijeresm.v4i2.3.

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This study introduces a Voice Frequency Detector (VFD) framework to enhance biometric password authentication by addressing key challenges such as spoofing attacks, environmental noise, and natural variations in speaker voice due to health, emotion, or aging. The system leverages dynamic vocal features including fundamental frequency (F0), Mel-Frequency Cepstral Coefficients (MFCCs), and formant structures, integrated with a hybrid CNN-BiLSTM deep learning model and attention mechanisms for robust spectral-temporal analysis. An anti-spoofing subsystem employs spectral flatness and phase distor

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Adak, Smritikana, Rashmimala Pradhan, Sujyotsna Jena, Subhalaxmi Pradhan, Lulup Kumar Sahoo, and Mamata Swain. "Impact of nurse and beloved family member’s voice stimulus on the level of consciousness and physiological parameters in comatose patients." Journal of Integrative Nursing 7, no. 1 (2025): 33–41. https://doi.org/10.4103/jin.jin_133_24.

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ABSTRACT Objective: The objective of this study was to compare the effect of nurse and beloved family member’s recording voice on consciousness and physical parameters in patients with coma state. Materials and Methods: A randomized control trial parallel group design was conducted among 45 comatose patients divided into two intervention groups, i.e. nurse voice stimulus group, receiving nurses voice with standard care, family members voice stimulus group receiving their beloved family member voice with standard care and one control group receiving only standard care in medicine intensive care

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Boyer, Stanislas, Pierre-Vincent Paubel, Robert Ruiz, Radouane El Yagoubi, and Agnès Daurat. "Human Voice as a Measure of Mental Load Level." Journal of Speech, Language, and Hearing Research 61, no. 11 (2018): 2722–34. http://dx.doi.org/10.1044/2018_jslhr-s-18-0066.

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Purpose The aim of this study was to determine a reliable and efficient set of acoustic parameters of the human voice able to estimate individuals' mental load level. Implementing detection methods and real-time analysis of mental load is a major challenge for monitoring and enhancing human task performance, especially during high-risk activities (e.g., flying aircraft). Method The voices of 32 participants were recorded during a cognitive task featuring word list recall. The difficulty of the task was manipulated by varying the number of words in each list (i.e., between 1 and 7, correspondin

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Gorden, William I., Dominic A. Infante, and John Izzo. "Variations in Voice Pertaining to Dissatisfaction/Satisfaction with Subordinates." Management Communication Quarterly 2, no. 1 (1988): 6–22. http://dx.doi.org/10.1177/0893318988002001002.

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Fabron, Eliana Maria Gradim, Simone Fiuza Regaçone, Viviane Cristina de Castro Marino, Marina Ludovico Mastria, Suely Mayumi Motonaga, and Luciana Tavares Sebastião. "Self-perception, complaints and vocal quality among undergraduate students enrolled in a Pedagogy course." CoDAS 27, no. 3 (2015): 285–91. http://dx.doi.org/10.1590/2317-1782/20152014178.

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PURPOSE: To compare the vocal self-perception and vocal complaints reported by two groups of students of the pedagogy course (freshmen and graduates); to relate the vocal self-perception to the vocal complaints for these groups; and to compare the voice quality of the students from these groups through perceptual auditory assessment and acoustic analysis. METHODS: Initially, 89 students from the pedagogy course answered a questionnaire about self-perceived voice quality and vocal complaints. In a second phase, auditory-perceptual evaluation and acoustic analyses of 48 participants were made th

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Gustafsson, Joakim Körner, Maria Södersten, Sten Ternström, and Ellika Schalling. "Voice Use in Daily Life Studied With a Portable Voice Accumulator in Individuals With Parkinson's Disease and Matched Healthy Controls." Journal of Speech, Language, and Hearing Research 62, no. 12 (2019): 4324–34. http://dx.doi.org/10.1044/2019_jslhr-19-00037.

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Purpose The purpose of this work was to study how voice use in daily life is impacted by Parkinson's disease (PD), specifically if there is a difference in voice sound level and phonation ratio during everyday activities for individuals with PD and matched healthy controls. A further aim was to study how variations in environmental noise impact voice use. Method Long-term registration of voice use during 1 week in daily life was performed for 21 participants with PD (11 male, 10 female) and 21 matched healthy controls using the portable voice accumulator VoxLog. Voice use was assessed through

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Marín Arrese, Juana Isabel. "Conceptualization of events, semantic relations between constructions and topology : a catastrophe theoretic study of "get" and "be"." Journal of English Studies 1 (May 29, 1999): 97. http://dx.doi.org/10.18172/jes.45.

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The existence of syncretisms in the marked coding patterns for variations in the domains of transitivity and voice presumably indicate the interrelation between constructions involving different event views and voice alternations and voicerelated phenomena, such as inchoative and stative resultative morphosyntax. This paper will examine deviations from the prototypical event view, variations in transitivity and their relation to voice distinctions in constructions with be and get. It will be argued that the relations between these constructions and the position they occupy in semantic space ar

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Gokulkumar Selvanathan. "Securing the voice channel: Advanced voice biometric authentication for contact centers." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 3211–19. https://doi.org/10.30574/wjarr.2025.26.2.1950.

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Voice biometrics is emerging as a transformative technology for contact centers seeking enhanced security without compromising customer experience. This comprehensive article examines how voice authentication leverages the unique vocal characteristics of individuals to create secure identity verification processes. By exploring the fundamental components of voice biometric systems—from enrollment and matching to liveness detection and anti-spoofing measures—it provides insights into the technological underpinnings of this authentication method. The article details integration approaches throug

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Jackson, Christophe E., John T. Tarvin, Paul A. Richardson, Stephen A. Watts, and Paul F. Castellanos. "Construction and Characterization of a Portable Sound Booth for Onsite Voice Recording." Medical Problems of Performing Artists 26, no. 3 (2011): 140–45. http://dx.doi.org/10.21091/mppa.2011.3022.

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The negative effects of environmental noise on sound recordings are recognized in the professional literature. Sound booths and anechoic chambers are examples of controlled acoustical environments widely used in research. However, both enclosures are expensive, require substantial space, and are not portable. Our research has been directed to measuring vocal endurance and voice characteristics of singers before and after sustained voice use. Our desire to acquire high-quality onsite recordings necessitated the development of a portable recording environment. In this article, we report the desi

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Mangngi, Dominggus, Putra Prawira Yohanes Puka, and Yampi R. Kaesmetan. "Citra Digital Voice Recognition Menggunakan SVD." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 12, no. 4 (2024): 967. http://dx.doi.org/10.24843/jlk.2024.v12.i04.p21.

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Voice recognition is a crucial area in digital signal processing and artificial intelligence. In this research, we propose an innovative method for voice recognition using Singular Value Decomposition (SVD) on digital images. This approach aims to enhance the accuracy and efficiency of voice recognition by leveraging the image representation of sound generated through the SVD process. We integrate image processing techniques with machine learning-based voice recognition models to create a system capable of accurately identifying and distinguishing sound patterns. The proposed method is tested

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Sampaio, Marília, Maria Lúcia Vaz Masson, Maria Francisca de Paula Soares, Jörg Edgar Bohlender, and Meike Brockmann-Bauser. "Effects of Fundamental Frequency, Vocal Intensity, Sample Duration, and Vowel Context in Cepstral and Spectral Measures of Dysphonic Voices." Journal of Speech, Language, and Hearing Research 63, no. 5 (2020): 1326–39. http://dx.doi.org/10.1044/2020_jslhr-19-00049.

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Purpose Smoothed cepstral peak prominence (CPPS) and harmonics-to-noise ratio (HNR) are acoustic measures related to the periodicity, harmonicity, and noise components of an acoustic signal. To date, there is little evidence about the advantages of CPPS over HNR in voice diagnostics. Recent studies indicate that voice fundamental frequency (F0) and intensity (sound pressure level [SPL]), sample duration (DUR), vowel context (speech vs. sustained phonation), and syllable stress (SS) may influence CPPS and HNR results. The scope of this work was to investigate the effects of voice F0 and SPL, DU

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Pessoa, Aline Neves, Beatriz Cavalcanti de Albuquerque Caiuby Novaes, Lilian Kuhn Pereira, and Zuleica Antonia Camargo. "Voice quality and voice dynamics data." Journal of Speech Sciences 1, no. 2 (2021): 17–33. http://dx.doi.org/10.20396/joss.v1i2.15024.

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Acoustic and perceptual auditory analysis procedures present themselves as clinical tools which give support to the understanding of the speech features of hearing impaired children (HIC). Voice quality stems from the overlapped action of the larynx, the supralaryngeal vocal tract and the level of muscular tension throughout the speech flow. Nonetheless, voice dynamics is characterized by frequency, duration and intensity variations. This research aimed at investigating acoustic and perceptive correlates of a HIC child’s voice and dynamic quality. The child, who has a cochlear implanted, had h

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Rosa, Maria Silvia, Valeria Dell’Era, Massimo Campagnoli, et al. "Vocal Outcome Following Thyroidectomy for Differentiated Thyroid Carcinoma." Journal of Clinical Medicine 13, no. 24 (2024): 7576. https://doi.org/10.3390/jcm13247576.

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Background: Voice alteration is a recognized complication of thyroid surgery, impacting the quality of life and communication for affected individuals. In this prospective observational study, the Acoustic Voice Quality Index (AVQI) was employed to assess vocal outcomes after thyroidectomy. Method: Between February 2018 and August 2022, 224 patients underwent Thyroid surgery in our department, of which 74 with differentiated thyroid carcinoma (DTC) were enrolled in accordance with the inclusion criteria. Endoscopic findings and AVQI scores were evaluated before and after surgery (voice analysi

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Abdilah, Mokhamad Azis Aji, and Cahya Edi Setyawan. "Structural Dynamics of Passive Voice in Arabic and English: A Comparative Study." Jurnal Ihtimam 7, no. 02 (2024): 144–58. https://doi.org/10.36668/jih.v7i02.1045.

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This research offers a detailed structure dynamics of (a). the elements and patterns of passive voice in English and Arabic (b). the similarities and differences between English and Arabic passive voice. This research belongs to a comparative qualitative research. In collecting the data, the researcher uses simak method. In analyzing the data, the researcher uses agih method to identify and classify the passive voice in English and Arabic, finds out the similarities and differences between English and Arabic passive voice, then draws conclusion. The findings reveal that there are both similari

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Thawley, Stanley E., William R. LeMear, C. Michael Haben, et al. "11:00 AM: Stroboscopic Variations in the Clinical Voice Practice." Otolaryngology–Head and Neck Surgery 129, no. 2 (2003): P59—P60. http://dx.doi.org/10.1016/s0194-59980300802-7.

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Titze, Ingo R., and Anil Palaparthi. "Vocal Loudness Variation With Spectral Slope." Journal of Speech, Language, and Hearing Research 63, no. 1 (2020): 74–82. http://dx.doi.org/10.1044/2019_jslhr-19-00018.

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Objective This investigation addresses the loudness variations in sones achievable with spectral slope variations (higher harmonic energy) in human vocalization and compares it to the sound pressure level (SPL) variations typically reported in the voice range profile (VRP). Method The primary methodology was computational. The ISO standard 226 was used to convert SPL values to sones for a 125- to 1000-Hz range of fundamental frequency and a –3 dB/octave to –12 dB/octave range of spectral slope. In addition, a retrospective analysis of human subjects' VRPs was conducted, and the experimental re

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Van Stan, Jarrad H., Andrew J. Ortiz, Dagmar Sternad, Daryush D. Mehta, Chuanbing Huo, and Robert E. Hillman. "Ambulatory Voice Biofeedback: Acquisition and Retention of Modified Daily Voice Use in Patients With Phonotraumatic Vocal Hyperfunction." American Journal of Speech-Language Pathology 31, no. 1 (2022): 409–18. http://dx.doi.org/10.1044/2021_ajslp-21-00141.

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Purpose: Voice ambulatory biofeedback (VAB) has potential to improve carryover of therapeutic voice use into daily life. Previous work in vocally healthy participants demonstrated that motor learning inspired variations to VAB produced expected differences in acquisition and retention of modified daily voice use. This proof-of-concept study was designed to evaluate whether these VAB variations have the same desired effects on acquisition and retention in patients with phonotraumatic vocal hyperfunction (PVH). Method: Seventeen female patients with PVH wore an ambulatory voice monitor for 6 day

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Lomsadze, Teona. "Krimanchuli: A yodeling phenomenon in Georgian traditional polyphonic music." AAWM Music and Nature 1 (October 28, 2021): 133–46. https://doi.org/10.5281/zenodo.5608208.

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Krimanchuli refers to a certain kind of high-pitched top voice in Georgian traditional polyphonic singing (songs with three or four voices), performed with a specific technique and creating a distinct acoustic effect. The aim of this article is to further determine the krimanchuli phenomenon by putting a special emphasis on its musical character and its function in Georgian traditional polyphonic songs; to represent other specific top voices (with a closer look at gamkivani) from Georgian folk music, which are similar to krimanchuli, and to reveal their different musical characteristics; and t

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Ching, Teresa Y. C., Rhys Williams, and Andrew Van Hasselt. "Communication of Lexical Tones in Cantonese Alaryngeal Speech." Journal of Speech, Language, and Hearing Research 37, no. 3 (1994): 557–63. http://dx.doi.org/10.1044/jshr.3703.557.

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Cantonese is a tone language with six lexical tones. Each word has a distinctive tone, signaled by fundamental frequency variations at the syllable level. We investigated the relative efficiency of alaryngeal Cantonese speakers in conveying tonal variations in words in citation form. Isolated tone tokens were produced by three esophageal speakers, two tracheoesophageal speakers, two pneumatic artificial laryngeal speakers, and two electrolaryngeal speakers for perceptual tests. The correct responses from 22 listeners were highest for the pneumatic artificial laryngeal speakers, and could be gr

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Wright, Helen, and Vered Aharonson. "Vocal Feature Changes for Monitoring Parkinson’s Disease Progression—A Systematic Review." Brain Sciences 15, no. 3 (2025): 320. https://doi.org/10.3390/brainsci15030320.

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Background: Parkinson’s disease has a significant impact on vocal characteristics and speech patterns, making them potential biomarkers for monitoring disease progression. To effectively utilise these biomarkers, it is essential to understand how they evolve over time as this degenerative disease progresses. Objectives: This review aims to identify the most used vocal features in Parkinson’s disease monitoring and to track the temporal changes observed in each feature. Methods: An online database search was conducted to identify studies on voice and speech changes associated with Parkinson’s d

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Tulics, Miklós Gábriel, and Klára Vicsi. "Automatic classification possibilities of the voices of children with dysphonia." Infocommunications journal, no. 3 (2018): 30–36. http://dx.doi.org/10.36244/icj.2018.3.5.

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Dysphonia is a common complaint, almost every fourth child produces a pathological voice. A mobile based filtering system, that can be used by pre-school workers in order to recognize dysphonic voiced children in order to get professional help as soon as possible, would be desired. The goal of this research is to identify acoustic parameters that are able to distinguish healthy voices of children from those with dysphonia voices of children. In addition, the possibility of automatic classification is children. In addition, the possibility of automatic classification is examined. Two sample T-t

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Kumar, Babu, Ajay Vikram Singh, and Parul Agarwal. "A Novel Approach for Speech to Text Recognition System Using Hidden Markov Model." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 12 (2022): 181–90. http://dx.doi.org/10.17762/ijritcc.v10i12.5934.

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Speech recognition is the application of sophisticated algorithms which involve the transforming of the human voice to text. Speech identification is essential as it utilizes by several biometric identification systems and voice-controlled automation systems. Variations in recording equipment, speakers, situations, and environments make speech recognition a tough undertaking. Three major phases comprise speech recognition: speech pre-processing, feature extraction, and speech categorization. This work presents a comprehensive study with the objectives of comprehending, analyzing, and enhancing

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Sasongko, Sudi Mariyanto Al, Shofian Tsaury, Suthami Ariessaputra, and Syafaruddin Ch. "Mel Frequency Cepstral Coefficients (MFCC) Method and Multiple Adaline Neural Network Model for Speaker Identification." JOIV : International Journal on Informatics Visualization 7, no. 4 (2023): 2306. http://dx.doi.org/10.62527/joiv.7.4.1376.

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Speech recognition technology makes human contact with the computer more accessible. There are two phases in the speaker recognition process: capturing or extracting voice features and identifying the speaker's voice pattern based on the voice characteristics of each speaker. Speakers consist of men and women. Their voices are recorded and stored in a computer database. Mel Frequency Cepstrum Coefficients (MFCC) are used at the voice extraction stage with a characteristic coefficient of 13. MFCC is based on variations in the response of the human ear's critical range to frequencies (linear and

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Sasongko, Sudi Mariyanto Al, Shofian Tsaury, Suthami Ariessaputra, and Syafaruddin Ch. "Mel Frequency Cepstral Coefficients (MFCC) Method and Multiple Adaline Neural Network Model for Speaker Identification." JOIV : International Journal on Informatics Visualization 7, no. 4 (2023): 2306. http://dx.doi.org/10.30630/joiv.7.4.01376.

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Speech recognition technology makes human contact with the computer more accessible. There are two phases in the speaker recognition process: capturing or extracting voice features and identifying the speaker's voice pattern based on the voice characteristics of each speaker. Speakers consist of men and women. Their voices are recorded and stored in a computer database. Mel Frequency Cepstrum Coefficients (MFCC) are used at the voice extraction stage with a characteristic coefficient of 13. MFCC is based on variations in the response of the human ear's critical range to frequencies (linear and

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