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Artículos de revistas sobre el tema "Sound data"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 20 de febrero de 2023

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1

NARA, SHIGETOSHI, NAOYA ABE, MASATO WADA, and JOUSUKE KUROIWA. "A NOVEL METHOD OF SOUND DATA DESCRIPTION BY MEANS OF CELLULAR AUTOMATA AND ITS APPLICATION TO DATA COMPRESSION." International Journal of Bifurcation and Chaos 09, no. 06 (June 1999): 1211–17. http://dx.doi.org/10.1142/s0218127499000869.

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A novel method of binary data description using cellular automata is proposed. As an actual example, several trials are made to describe vocal and musical sound data digitized in a standard data format. The reproduced sounds are evaluated by "actual listening", by calculating "the signal to noise ratio" with respect to the original sound data, and by comparing "the Fourier power spectra" with those of the original sounds. The results show that this method is quite effective and provides a new means of data compression applicable in any field of digital data recording or transferring.

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2

BAKIR, Çiğdem. "Compressing English Speech Data with Hybrid Methods without Data Loss." International Journal of Applied Mathematics Electronics and Computers 10, no. 3 (September 30, 2022): 68–75. http://dx.doi.org/10.18100/ijamec.1166951.

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Understanding the mechanism of speech formation is of great importance in the successful coding of the speech signal. It is also used for various applications, from authenticating audio files to connecting speech recording to data acquisition device (e.g. microphone). Speech coding is of vital importance in the acquisition, analysis and evaluation of sound, and in the investigation of criminal events in forensics. For the collection, processing, analysis, extraction and evaluation of speech or sounds recorded as audio files, which play an important role in crime detection, it is necessary to c

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3

Kim, Eunbeen, Jaeuk Moon, Jonghwa Shim, and Eenjun Hwang. "DualDiscWaveGAN-Based Data Augmentation Scheme for Animal Sound Classification." Sensors 23, no. 4 (February 10, 2023): 2024. http://dx.doi.org/10.3390/s23042024.

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Animal sound classification (ASC) refers to the automatic identification of animal categories by sound, and is useful for monitoring rare or elusive wildlife. Thus far, deep-learning-based models have shown good performance in ASC when training data is sufficient, but suffer from severe performance degradation if not. Recently, generative adversarial networks (GANs) have shown the potential to solve this problem by generating virtual data. However, in a multi-class environment, existing GAN-based methods need to construct separate generative models for each class. Additionally, they only consi

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4

Han, Hong-Su. "Sound data interpolating circuit." Journal of the Acoustical Society of America 100, no. 2 (1996): 692. http://dx.doi.org/10.1121/1.416225.

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5

Son, Myoung-Jin, and Seok-Pil Lee. "COVID-19 Diagnosis from Crowdsourced Cough Sound Data." Applied Sciences 12, no. 4 (February 9, 2022): 1795. http://dx.doi.org/10.3390/app12041795.

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The highly contagious and rapidly mutating COVID-19 virus is affecting individuals worldwide. A rapid and large-scale method for COVID-19 testing is needed to prevent infection. Cough testing using AI has been shown to be potentially valuable. In this paper, we propose a COVID-19 diagnostic method based on an AI cough test. We used only crowdsourced cough sound data to distinguish between the cough sound of COVID-19-positive people and that of healthy people. First, we used the COUGHVID cough database to segment only the cough sound from the original cough data. An effective audio feature set

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6

Yamamoto, Takaharu. "Digital sound data storing device." Journal of the Acoustical Society of America 93, no. 1 (January 1993): 596. http://dx.doi.org/10.1121/1.405540.

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7

Osborne, D. W. "Sound and data on DBS." Electronics and Power 31, no. 6 (1985): 449. http://dx.doi.org/10.1049/ep.1985.0283.

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8

Kaper, H. G., E. Wiebel, and S. Tipei. "Data sonification and sound visualization." Computing in Science & Engineering 1, no. 4 (1999): 48–58. http://dx.doi.org/10.1109/5992.774840.

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9

Suhartini, Endang, Murdianto Murdianto, and Nanik Setyowati. "OPTIMALISASI PELAYANAN BINA KOMUNIKASI MELALUI PROGRAM PERSEPSI BUNYI DAN IRAMA (BKPBI), UNTUK ANAK YANG BERKEBUTUHAN KUSUS TUNARUNGGU DI SDLB NEGERI JENANGAN PONOROGO." BASICA: Journal of Arts and Science in Primary Education 1, no. 1 (May 15, 2021): 58–71. http://dx.doi.org/10.37680/basica.v1i1.777.

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Children with special needs are children with different characteristics from normal children in general. Especially deaf children are children who have impaired hearing either totally or have residual hearing. Deaf communication requires services that can support their communication difficulties. In this case SDLB Negeri Jenang Ponorogo organized a communication development program with Communication Development through the Sound and Rhythm Perception Program (BKPBI). In this study the author is intended to discuss more about; Forms of service stages, learning implementation strategies and ser

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10

Roelandt, N., P. Aumond, and L. Moisan. "CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 6, 2022): 387–93. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-387-2022.

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Abstract. NoiseCapture is an Android application developed by the Gustave Eiffel University and the French National Centre for Scientific Research as central element of a participatory approach to environmental noise mapping. The application is open-source, and all its data are available freely. This study presents the results of the first exploratory analysis of 3 years of data collection through the lens of sound sources. This analysis is only based on the tags given by the users and not on the sound spectrum of the measurement, which will be studied at a later stage. The first results are e

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11

Kim, Yunbin, Jaewon Sa, Yongwha Chung, Daihee Park, and Sungju Lee. "Resource-Efficient Pet Dog Sound Events Classification Using LSTM-FCN Based on Time-Series Data." Sensors 18, no. 11 (November 18, 2018): 4019. http://dx.doi.org/10.3390/s18114019.

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The use of IoT (Internet of Things) technology for the management of pet dogs left alone at home is increasing. This includes tasks such as automatic feeding, operation of play equipment, and location detection. Classification of the vocalizations of pet dogs using information from a sound sensor is an important method to analyze the behavior or emotions of dogs that are left alone. These sounds should be acquired by attaching the IoT sound sensor to the dog, and then classifying the sound events (e.g., barking, growling, howling, and whining). However, sound sensors tend to transmit large amo

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12

Vardaxis, Nikolaos-Georgios, and Delphine Bard. "Review of acoustic comfort evaluation in dwellings: Part III—airborne sound data associated with subjective responses in laboratory tests." Building Acoustics 25, no. 4 (August 21, 2018): 289–305. http://dx.doi.org/10.1177/1351010x18788685.

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Acoustic comfort has been used in engineering to refer to conditions of low noise levels or annoyance, while current standardized methods for airborne and impact sound reduction are used to assess acoustic comfort in dwellings. However, the results and descriptors acquired from acoustic measurements do not represent the human perception of sound or comfort levels. This article is a review of laboratory studies concerning airborne sound in dwellings. Specifically, this review presents studies that approach acoustic comfort via the association of objective and subjective data in laboratory liste

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13

Aiello, Luca Maria, Rossano Schifanella, Daniele Quercia, and Francesco Aletta. "Chatty maps: constructing sound maps of urban areas from social media data." Royal Society Open Science 3, no. 3 (March 2016): 150690. http://dx.doi.org/10.1098/rsos.150690.

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Urban sound has a huge influence over how we perceive places. Yet, city planning is concerned mainly with noise, simply because annoying sounds come to the attention of city officials in the form of complaints, whereas general urban sounds do not come to the attention as they cannot be easily captured at city scale. To capture both unpleasant and pleasant sounds, we applied a new methodology that relies on tagging information of georeferenced pictures to the cities of London and Barcelona. To begin with, we compiled the first urban sound dictionary and compared it with the one produced by coll

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14

Isodarus, Praptomo Baryadi. "Facilitating Sounds in Indonesian." Journal of Language and Literature 18, no. 2 (September 12, 2018): 102–10. http://dx.doi.org/10.24071/joll.v18i2.1566.

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This article presents the research result of facilitating sounds in Indonesian. Facilitating sound is a sound which facilitates the pronunciation of a sound sequence in a word. Based on the data analysis, the facilitating sounds in Indonesian are [?], [y], [w], [?], [m], [n], [?], [?] and [??]. Sound [?] facilitates the consonant cluster pronunciation in a word. Sound [y] facilitates the pronunciation of the sound sequences [ia] and [aia] among syllables and morphemes. Sound [w] facilitates the pronunciation of sound sequence [ua] among syllables and morphemes and the sound sequence of [oa] an

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15

Dick, Frederic, Ayse Pinar Saygin, Gaspare Galati, Sabrina Pitzalis, Simone Bentrovato, Simona D'Amico, Stephen Wilson, Elizabeth Bates, and Luigi Pizzamiglio. "What is Involved and What is Necessary for Complex Linguistic and Nonlinguistic Auditory Processing: Evidence from Functional Magnetic Resonance Imaging and Lesion Data." Journal of Cognitive Neuroscience 19, no. 5 (May 2007): 799–816. http://dx.doi.org/10.1162/jocn.2007.19.5.799.

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We used functional magnetic resonance imaging (fMRI) in conjunction with a voxel-based approach to lesion symptom mapping to quantitatively evaluate the similarities and differences between brain areas involved in language and environmental sound comprehension. In general, we found that language and environmental sounds recruit highly overlapping cortical regions, with cross-domain differences being graded rather than absolute. Within language-based regions of interest, we found that in the left hemisphere, language and environmental sound stimuli evoked very similar volumes of activation, whe

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16

Lee, Jang Hyung, Sun Young Kyung, Pyung Chun Oh, Kwang Gi Kim, and Dong Jin Shin. "Heart Sound Classification Using Multi Modal Data Representation and Deep Learning." Journal of Medical Imaging and Health Informatics 10, no. 3 (March 1, 2020): 537–43. http://dx.doi.org/10.1166/jmihi.2020.2987.

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Heart anomalies are an important class of medical conditions from personal, public health and social perspectives and hence accurate and timely diagnoses are important. Heartbeat features two well known amplitude peaks termed S1 and S2. Some sound classification models rely on segmented sound intervals referenced to the locations of detected S1 and S2 peaks, which are often missing due to physiological causes and/or artifacts from sound sampling process. The constituent and combined models we propose are free from segmentation, which consequently is more robust and meritful from reliability as

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17

Kihara, Yoshiro. "ROM circuit for reducing sound data." Journal of the Acoustical Society of America 94, no. 1 (July 1993): 612. http://dx.doi.org/10.1121/1.407016.

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18

Ballatore, Andrea, David Gordon, and Alexander P. Boone. "Sonifying data uncertainty with sound dimensions." Cartography and Geographic Information Science 46, no. 5 (August 15, 2018): 385–400. http://dx.doi.org/10.1080/15230406.2018.1495103.

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19

Rika Kustina. "ONOMATOPE BAHASA DEVAYAN." Jurnal Metamorfosa 8, no. 1 (January 31, 2020): 112–22. http://dx.doi.org/10.46244/metamorfosa.v8i1.348.

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Onomatopoeia is the naming of objects or deeds by sound imitation. Imitation of sound does not only include animal, human, natural, or audible sounds, but also sounds that describe moving objects, collisions, or human feelings or emotions. In this study, onomatopoeia is the result of an imitation of sound (which is more or less the same as the original sound) and is arbitrary. This study aims to describe the Devayan language onomatopoeia of natural sounds, animal sounds and human voices. This type of research uses a qualitative descriptive approach. The data source of this research is 7 commun

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20

Saldanha, Jane, Shaunak Chakraborty, Shruti Patil, Ketan Kotecha, Satish Kumar, and Anand Nayyar. "Data augmentation using Variational Autoencoders for improvement of respiratory disease classification." PLOS ONE 17, no. 8 (August 12, 2022): e0266467. http://dx.doi.org/10.1371/journal.pone.0266467.

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Computerized auscultation of lung sounds is gaining importance today with the availability of lung sounds and its potential in overcoming the limitations of traditional diagnosis methods for respiratory diseases. The publicly available ICBHI respiratory sounds database is severely imbalanced, making it difficult for a deep learning model to generalize and provide reliable results. This work aims to synthesize respiratory sounds of various categories using variants of Variational Autoencoders like Multilayer Perceptron VAE (MLP-VAE), Convolutional VAE (CVAE) Conditional VAE and compare the infl

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21

Keikhosrokiani, Pantea, A. Bhanupriya Naidu A/P Anathan, Suzi Iryanti Fadilah, Selvakumar Manickam, and Zuoyong Li. "Heartbeat sound classification using a hybrid adaptive neuro-fuzzy inferences system (ANFIS) and artificial bee colony." DIGITAL HEALTH 9 (January 2023): 205520762211507. http://dx.doi.org/10.1177/20552076221150741.

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Cardiovascular disease is one of the main causes of death worldwide which can be easily diagnosed by listening to the murmur sound of heartbeat sounds using a stethoscope. The murmur sound happens at the Lub-Dub, which indicates there are abnormalities in the heart. However, using the stethoscope for listening to the heartbeat sound requires a long time of training then only the physician can detect the murmuring sound. The existing studies show that young physicians face difficulties in this heart sound detection. Use of computerized methods and data analytics for detection and classification

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22

Lee, Sheen-Woo, Sang Hoon Lee, Zhen Cheng, and Woon Seung Yeo. "Auditory Display of Fluorescence Image Data in an In Vivo Tumor Model." Diagnostics 12, no. 7 (July 16, 2022): 1728. http://dx.doi.org/10.3390/diagnostics12071728.

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Objectives: This research aims to apply an auditory display for tumor imaging using fluorescence data, discuss its feasibility for in vivo tumor evaluation, and check its potential for assisting enhanced cancer perception. Methods: Xenografted mice underwent fluorescence imaging after an injection of cy5.5-glucose. Spectral information from the raw data was parametrized to emphasize the near-infrared fluorescence information, and the resulting parameters were mapped to control a sound synthesis engine in order to provide the auditory display. Drag–click maneuvers using in-house data navigation

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23

Al Aziiz, Arief Nur Rahman, and Muhammad Ridwan. "PHONOLOGICAL VARIATION OF PASAR KLIWON ARABIC DIALECT SURAKARTA." PRASASTI: Journal of Linguistics 4, no. 1 (May 11, 2019): 1. http://dx.doi.org/10.20961/prasasti.v4i1.4146.

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<p>This article studies about sound variation sand sound change in Arabic dialect Pasar Kliwon. The data searching use observe (<em>simak</em>) and conversation (<em>cakap</em>) method. The technique of data searching is record (<em>rekam</em>) and register (<em>catat</em>). The data searching refers to question list from 120 swadesh vocabularies. Data analysis used padan method and depends on informan’s speech organ. The analysis research use sound change theory according to Crowley (1992) and Muslich (2012). The vowel sound in Arabic dial

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24

Milind Gaikwad, Shrutika, Vedanti Arvind Patil, and Aparna Nandurka. "Performance of normal hearing preschool children on audiometric ling’s six sound test." Journal of Otolaryngology-ENT Research 11, no. 6 (2019): 239–43. http://dx.doi.org/10.15406/joentr.2019.11.00442.

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Introduction: Ling’s six sound test is a quick and simple test to ascertain access to speech sounds essential for development of optimum listening and speaking skills. However, most of the normative data available for Ling’s six sound test is adult based. Therefore, there is a need to develop normative data for subsequent use with children who are receiving early intervention procedures. This study aims at obtaining the awareness and identification thresholds for Ling’s six sounds for normal hearing preschool children between 3 to 6 years of age. Methods: Each of the six sounds of Ling’s six s

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25

Shin, Sanghyun, Abhishek Vaidya, and Inseok Hwang. "Helicopter Cockpit Audio Data Analysis to Infer Flight State Information." Journal of the American Helicopter Society 65, no. 3 (July 1, 2020): 1–8. http://dx.doi.org/10.4050/jahs.65.032001.

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In recent years, the National Transportation Safety Board has highlighted the importance of analyzing flight data as one of the effective methods to improve the safety and efficiency of helicopter operations. Since cockpit audio data contain various sounds from engines, alarms, crew conversations, and other sources within a cockpit, analyzing cockpit audio data can help identify the causes of incidents and accidents. Among the various types of the sounds in cockpit audio data, this paper focuses on cockpit alarm and engine sounds as an object of analysis. This paper proposes cockpit audio anal

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26

Watanabe, Kazuyoshi, and Ryou Ishikawa. "Sound outputting devices using digital displacement data for a PWM sound signal." Journal of the Acoustical Society of America 98, no. 5 (November 1995): 2404. http://dx.doi.org/10.1121/1.413269.

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27

Yogatama, Adiprana. "Phonological Analysis of Indian Language." Register Journal 5, no. 1 (June 1, 2012): 1–16. http://dx.doi.org/10.18326/rgt.v5i1.1-16.

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The aims of this research are to find out the language sounds produced by India speakers, to enrich the scientific realm of language sounds and to stimulate the students to deeply examine other foreign language sounds. For the purpose of the study, the researcher collected data from several sources. The data which were in the form of theoretical research literature were obtained from books in general linguistics, especially on Phonology, both English and Indonesian. For data or material which were in the form of research material to be studied, the researcher presented a native speaker of Indi

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28

Yogatama, Adiprana. "Phonological Analysis of Indian Language." Register Journal 5, no. 1 (June 1, 2012): 1. http://dx.doi.org/10.18326/rgt.v5i1.249.

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The aims of this research are to find out the language sounds produced by India speakers, to enrich the scientific realm of language sounds and to stimulate the students to deeply examine other foreign language sounds. For the purpose of the study, the researcher collected data from several sources. The data which were in the form of theoretical research literature were obtained from books in general linguistics, especially on Phonology, both English and Indonesian. For data or material which were in the form of research material to be studied, the researcher presented a native speaker of Indi

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29

Kumar, Naveen, Viniitha Jagatheesan, Hewage Methsithini M Rodrigo, VM Kavithevan, Jonathan Wee TS, Ashwini Aithal P, and Melissa Glenda Lewis. "Evaluation of blood Pressure changes on exposure to sound frequencies in the youths of different ethnicity." Bangladesh Journal of Medical Science 21, no. 4 (September 11, 2022): 825–28. http://dx.doi.org/10.3329/bjms.v21i4.60279.

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Objectives: To analyse the effect of exposure to different sounds of various frequencies on the blood pressure level of participants. Methods: Present study involved 160 medical students belonging to four ethnic races (Malay, Chinese, Malaysian Indians, Sri Lankans). Informed consent and the record of normal blood pressure was obtained before the study. Participants were exposed to three different sounds (Traffic sounds of high noise frequency; Waterfall sound of moderate noise frequency; Night sound in woods of low noise frequency) with specified intervals. The systolic (SBP) and diastolic bl

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30

Ballas, James A., and Mark E. Barnes. "Everyday Sound Perception and Aging." Proceedings of the Human Factors Society Annual Meeting 32, no. 3 (October 1988): 194–97. http://dx.doi.org/10.1177/154193128803200305.

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Age related hearing loss is extensively documented in both longitudinal and cross-sectional studies but there are no direct studies of the ability of older persons to perceive everyday sounds. There is evidence suggesting some impairment. Vanderveer (1979) observed that older listeners had difficulty interpreting environmental sounds but did not report any performance data. Demands imposed by the stimulus properties of this type of sound and by the perceptual and cognitive processes found to mediate perception of this sound in college-aged listeners may present difficulty for older listeners.

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31

Munir, Misbahul. "Tahlil al-Akhtha’ al-Shautiyyah li al-Kalimat al-Thayyibat fi Hayat al-Muslimin (Dirasah Tahliliyyah Shautiyyah)." ALSINATUNA 3, no. 2 (August 20, 2018): 163. http://dx.doi.org/10.28918/alsinatuna.v3i2.1241.

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This research aims to explain the sound error al-kalimāh aṭ-ṭayyibah, vowels and consonants. The research conducted at UIN Yogyakarta. Sources of data obtained from Arabic Linguistic Studies of Post Graduate Students in UIN Yogyakarta. The method used is descriptive-qualitative with case study approach. Data collection of this research used interviewing, taking notes, and recordings. This research shows that the mistakes found in vowels; either short, long, and double vowel sound. Fatḥah(َ) sounds /a/ becomes /o./ Ḍammah(ُ) sounds /u/ becomes /o/, /ū/, dan sukūn/ْ./ Kasrah(ِ) sounds /i/ become

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32

Gautama Simanjuntak, Juniarto, Mega Putri Amelya, Fitri Nuraeni, and Rika Raffiudin. "Keragaman Suara Tonggeret dan Jangkrik di Taman Nasional Gunung Gede Pangrango." Jurnal Sumberdaya Hayati 6, no. 1 (December 3, 2020): 20–25. http://dx.doi.org/10.29244/jsdh.6.1.20-25.

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Indonesia is a biodiversity country and has much of samples of bioacoustics but there are no bioacoustics data collected and saved to be referred. Bioacoustics is a study of frequency range, sound amplitudo intensity, sound fluctuation, and sound patterns. It is very useful to study more about population presumption and species determination. This insect bioacoustics research is done at Gunung Gede Pangrango National Park and aims to analyse variety of sound frequency of cicada and cricket. Methods which are used are recording the sounds, editing and analyzing the record result with Praat and

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Mudusu, Rambabu, A. Nagesh, and M. Sadanandam. "Enhancing Data Security Using Audio-Video Steganography." International Journal of Engineering & Technology 7, no. 2.20 (April 18, 2018): 276. http://dx.doi.org/10.14419/ijet.v7i2.20.14777.

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Steganography may be a strategy for concealing any mystery information like content, picture, sound behind distinctive cowl document .In this paper we have a tendency to planned the mix of image steganography associated sound steganography with confront acknowledgment innovation as an instrument for verification. The purpose is to shroud the mystery information behind sound and therefore the beneficiary's face image of video, because it may be a use of various still casings of images and sound. During this technique we've chosen any casing of video to shroud beneficiary's face image and sound

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Kim, Hyun-Don, Kazunori Komatani, Tetsuya Ogata, and Hiroshi G. Okuno. "Binaural Active Audition for Humanoid Robots to Localise Speech over Entire Azimuth Range." Applied Bionics and Biomechanics 6, no. 3-4 (2009): 355–67. http://dx.doi.org/10.1155/2009/817874.

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We applied motion theory to robot audition to improve the inadequate performance. Motions are critical for overcoming the ambiguity and sparseness of information obtained by two microphones. To realise this, we first designed a sound source localisation system integrated with cross-power spectrum phase (CSP) analysis and an EM algorithm. The CSP of sound signals obtained with only two microphones was used to localise the sound source without having to measure impulse response data. The expectation-maximisation (EM) algorithm helped the system to cope with several moving sound sources and reduc

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35

Hermawan, Gede Satya. "Errors in Learning Japanese through Listening-Misheard Cases-." JAPANEDU: Jurnal Pendidikan dan Pengajaran Bahasa Jepang 4, no. 2 (December 29, 2019): 126–32. http://dx.doi.org/10.17509/japanedu.v4i2.18317.

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This paper aims to study the error that happens when students learning Japanese through listening. This paper describes misheard cases by students during listening class. The data in this research collected from students’ quiz and test results. Students participated in this study were first-year and second-year students, including 37 first-years students and 24 second-year students, with total participants 81 students. The data collected in this study then categorized based on the type of errors. The results showed that the errors occurred include confusion between two sounds, reduction of sou

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Siswanto, Waluyo Adi, Wan Mohamed Akil Che Wahab, Musli Nizam Yahya, Al Emran Ismail, and Ismail Nawi. "A Platform for Digital Reproduction Sound of Traditional Musical Instrument Kompang." Applied Mechanics and Materials 660 (October 2014): 823–27. http://dx.doi.org/10.4028/www.scientific.net/amm.660.823.

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This work proposes a system for the digital reproduction sound ofkompang. Thekompangsounds are represented bybungandpakproduced by palm beating to the membrane. The sounds are recorded in an acoustical sound recording system. In this proposed system, the recorded sounds are then analyzed in a frequency analyzer SpectraPLUS. This frequency contents data can be used as the reference to check the reproduced digital sound. The recorded wave data is converted to MIDI format before being manipulated in Ableton synthesizer system to create modern keyboard notes but representingkompangsound. For the v

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Bandara, Meelan, Roshinie Jayasundara, Isuru Ariyarathne, Dulani Meedeniya, and Charith Perera. "Forest Sound Classification Dataset: FSC22." Sensors 23, no. 4 (February 10, 2023): 2032. http://dx.doi.org/10.3390/s23042032.

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The study of environmental sound classification (ESC) has become popular over the years due to the intricate nature of environmental sounds and the evolution of deep learning (DL) techniques. Forest ESC is one use case of ESC, which has been widely experimented with recently to identify illegal activities inside a forest. However, at present, there is a limitation of public datasets specific to all the possible sounds in a forest environment. Most of the existing experiments have been done using generic environment sound datasets such as ESC-50, U8K, and FSD50K. Importantly, in DL-based sound

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38

Adityarini, Ida Ayu Putri, I. Wayan Pastika, and I. Nyoman Sedeng. "INTERFERENSI FONOLOGI PADA PEMBELAJAR BIPA ASAL EROPA DI BALI." Aksara 32, no. 1 (July 1, 2020): 167–86. http://dx.doi.org/10.29255/aksara.v32i1.409.167-186.

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This study aimed to determine phonological interference that occurs on BIPA learners from Europe in Bali. Oraland written data are used in this research that were obtained from learners' speeches and writings when learning Indonesian in the class. This research was guided by interference theory according to Weinreich (1953). Oral data were collected using proficient inversion techniques (SLC), skillful in-flight listening techniques (SBLC), recording techniques, and note taking. Writing data were collected by the test method. The data analyzed and presented in formal and informal forms. The re

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Miner, Nadine E., Timothy E. Goldsmith, and Thomas P. Caudell. "Perceptual Validation Experiments for Evaluating the Quality of Wavelet-Synthesized Sounds." Presence: Teleoperators and Virtual Environments 11, no. 5 (October 2002): 508–24. http://dx.doi.org/10.1162/105474602320935847.

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This paper describes three psychoacoustic experiments that evaluated the perceptual quality of sounds generated from a new wavelet-based synthesis technique. The synthesis technique provides a method for modeling and synthesizing perceptually compelling sound. The experiments define a methodology for evaluating the effectiveness of any synthesized sound. An identification task and a context-based rating task evaluated the perceptual quality of individual sounds. These experiments confirmed that the wavelet technique synthesizes a wide variety of compelling sounds from a small model set. The th

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Rosyadi, Naila Nabila, and Nur Hastuti. "Contrastive Analysis of Onomatopoeic Use in Nursery Rhymes as Children’s Environmental Sounds Recognition in Japanese and Indonesian." E3S Web of Conferences 359 (2022): 03014. http://dx.doi.org/10.1051/e3sconf/202235903014.

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Nursery rhymes play a role in children’s language development and help them recognize and express the environmental sounds or sounds around them. Onomatopoeia or imitation words are often found in nursery rhymes. Every country has a different language, so it has different phonetic sounds to express onomatopoeia. In this research, the author will contrast the onomatopoeic use in Japanese and Indonesian nursery rhymes. The theory and classification of onomatopoeia used in this research are combinations proposed by Akimoto (2002) and Kaneda (1978). This qualitative research used the listening and

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Carbonell, Kathy M., Radhika Aravamudhan, and Andrew J. Lotto. "Presence of preceding sound affects the neural representation of speech sounds: Behavioral data." Journal of the Acoustical Society of America 128, no. 4 (October 2010): 2322. http://dx.doi.org/10.1121/1.3508189.

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Levin, Beth, and Grace Song. "Making Sense of Corpus Data." International Journal of Corpus Linguistics 2, no. 1 (January 1, 1997): 23–64. http://dx.doi.org/10.1075/ijcl.2.1.04lev.

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This paper demonstrates the essential role of corpus data in the development of a theory that explains and predicts word behavior. We make this point through a case study of verbs of sound, drawing our evidence primarily from the British National Corpus. We begin by considering pretheoretic notions of the verbs of sound as presented in corpus-based dictionaries and then contrast them with the predictions made by a theory of syntax, as represented by Chomsky's Government-Binding framework. We identify and classify the transitive uses of sixteen representative verbs of sound found in the corpus

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Osborne, M. R. "On the inversion of sound channel data." ANZIAM Journal 42 (December 25, 2000): 1097. http://dx.doi.org/10.21914/anziamj.v42i0.637.

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Curtis, Andrea J., Johannes U. Stoelwinder, and John J. McNeil. "Management of waiting lists needs sound data." Medical Journal of Australia 191, no. 8 (October 2009): 423–24. http://dx.doi.org/10.5694/j.1326-5377.2009.tb02875.x.

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Berman, David H. "Sound‐speed profiles from vertical array data." Journal of the Acoustical Society of America 93, no. 4 (April 1993): 2375. http://dx.doi.org/10.1121/1.406132.

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Hermann, T., and H. Ritter. "Sound and Meaning in Auditory Data Display." Proceedings of the IEEE 92, no. 4 (April 2004): 730–41. http://dx.doi.org/10.1109/jproc.2004.825904.

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Rabesandratana, Tania. "Researchers sound alarm on European data law." Science 366, no. 6468 (November 21, 2019): 936. http://dx.doi.org/10.1126/science.366.6468.936.

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Ko, Jae-Hyuk. "Method for 3D Visualization of Sound Data." Journal of Digital Convergence 14, no. 7 (July 28, 2016): 331–37. http://dx.doi.org/10.14400/jdc.2016.14.7.331.

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Geladi, Paul. "Data and sound, an opportunity for chemometrics?" Chemometrics and Intelligent Laboratory Systems 39, no. 1 (November 1997): 63–67. http://dx.doi.org/10.1016/s0169-7439(97)00046-4.

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Swart, D. J., A. Bekker, and J. Bienert. "Electric vehicle sound stimuli data and enhancements." Data in Brief 21 (December 2018): 1337–46. http://dx.doi.org/10.1016/j.dib.2018.10.074.

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