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Journal articles on the topic 'Acoustic speech analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Masih, Dawa A. A., Nawzad K. Jalal, Manar N. A. Mohammed, and Sulaiman A. Mustafa. "The Assessment of Acoustical Characteristics for Recent Mosque Buildings in Erbil City of Iraq." ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY 9, no. 1 (2021): 51–66. http://dx.doi.org/10.14500/aro.10784.

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The study of mosque acoustics, concerning acoustical features, sound quality for speech intelligibility, and additional practical acoustic criteria, is commonly overlooked. Acoustic quality is vital to the fundamental use of mosques, in terms of contributing toward prayers and worshippers’ appreciation. This paper undertakes a comparative analysis of the acoustic quality level and the acoustical characteristics for two modern mosque buildings constructed in Erbil city. This work investigates and examines the acoustical quality and performance of these two mosques and their prayer halls through

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Duran, Sebastian, Martyn Chambers, and Ioannis Kanellopoulos. "An Archaeoacoustics Analysis of Cistercian Architecture: The Case of the Beaulieu Abbey." Acoustics 3, no. 2 (2021): 252–69. http://dx.doi.org/10.3390/acoustics3020018.

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The Cistercian order is of acoustic interest because previous research has hypothesized that Cistercian architectural structures were designed for longer reverberation times in order to reinforce Gregorian chants. The presented study focused on an archaeoacacoustics analysis of the Cistercian Beaulieu Abbey (Hampshire, England, UK), using Geometrical Acoustics (GA) to recreate and investigate the acoustical properties of the original structure. To construct an acoustic model of the Abbey, the building’s dimensions and layout were retrieved from published archaeology research and comparison wit

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3

Askenfelt, Anders G., and Britta Hammarberg. "Speech Waveform Perturbation Analysis." Journal of Speech, Language, and Hearing Research 29, no. 1 (1986): 50–64. http://dx.doi.org/10.1044/jshr.2901.50.

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The performance of seven acoustic measures of cycle-to-cycle variations (perturbations) in the speech waveform was compared. All measures were calculated automatically and applied on running speech. Three of the measures refer to the frequency of occurrence and severity of waveform perturbations in special selected parts of the speech, identified by means of the rate of change in the fundamental frequency. Three other measures refer to statistical properties of the distribution of the relative frequency differences between adjacent pitch periods. One perturbation measure refers to the percenta

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Chenausky, Karen, Joel MacAuslan, and Richard Goldhor. "Acoustic Analysis of PD Speech." Parkinson's Disease 2011 (2011): 1–13. http://dx.doi.org/10.4061/2011/435232.

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According to the U.S. National Institutes of Health, approximately 500,000 Americans have Parkinson's disease (PD), with roughly another 50,000 receiving new diagnoses each year. 70%–90% of these people also have the hypokinetic dysarthria associated with PD. Deep brain stimulation (DBS) substantially relieves motor symptoms in advanced-stage patients for whom medication produces disabling dyskinesias. This study investigated speech changes as a result of DBS settings chosen to maximize motor performance. The speech of 10 PD patients and 12 normal controls was analyzed for syllable rate and va

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M, Manjutha. "Acoustic Analysis of Formant Frequency Variation in Tamil Stuttered Speech." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 2934–44. http://dx.doi.org/10.5373/jardcs/v12sp7/20202438.

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6

Weedon, B., E. Hellier, J. Edworthy, and K. Walters. "Perceived Urgency in Speech Warnings." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 22 (2000): 690–93. http://dx.doi.org/10.1177/154193120004402251.

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Two experiments are reported that investigate the effects of acoustics and semantics in verbal warnings. In the first experiment subjects rated the urgency of warning signal words spoken in different presentation styles (URGENT, NON-URGENT, MONOTONE). Significant differences in urgency ratings were found between presentation styles. Acoustic analysis revealed how acoustic parameters differed within these different presentation styles. These acoustic measurements were used to construct synthesised speech warnings that differed in urgency. They were rated in experiment 2 and the predicted differ

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Keller, Eric, Patrick Vigneux, and Martine Laframboise. "Acoustic analysis of neurologically impaired speech." International Journal of Language & Communication Disorders 26, no. 1 (1991): 75–94. http://dx.doi.org/10.3109/13682829109011993.

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Thakore, Jogin, Viliam Rapcan, Shona Darcy, Sherlyn Yeap, Natasha Afzal, and Richard Reilly. "Acoustic and temporal analysis of speech." International Clinical Psychopharmacology 26 (September 2011): e131. http://dx.doi.org/10.1097/01.yic.0000405855.63819.e2.

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9

Sondhi, Savita, Munna Khan, Ritu Vijay, Ashok K. Salhan, and Satish Chouhan. "Acoustic analysis of speech under stress." International Journal of Bioinformatics Research and Applications 11, no. 5 (2015): 417. http://dx.doi.org/10.1504/ijbra.2015.071942.

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10

O'Shaughnessy, Douglas. "Acoustic Analysis for Automatic Speech Recognition." Proceedings of the IEEE 101, no. 5 (2013): 1038–53. http://dx.doi.org/10.1109/jproc.2013.2251592.

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11

Bunta, Ferenc. "Speech Science Applications for Practicing Clinicians and Audiology or Speech-Language Pathology Students." Perspectives on Speech Science and Orofacial Disorders 25, no. 2 (2015): 81–93. http://dx.doi.org/10.1044/ssod25.2.81.

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The advent of widely available, free, and user-friendly speech analysis software in the late 1990s has made it possible to perform acoustic analyses in clinical and educational settings. However, despite the widespread availability and relative ease of use of speech analysis programs, some clinicians are reluctant to adopt hands-on acoustic analyses into their practice. The purpose of the present paper is threefold: (1) to dispel the myth that speech science and acoustic analyses are difficult and only marginally useful for clinical practice, (2) to demonstrate the practical utility—even neces

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Abdullah, Abdul Hakim, and Zamir A. Zulkefli. "A Study of the Acoustics and Speech Intelligibility Quality of Mosques in Malaysia." Applied Mechanics and Materials 564 (June 2014): 129–34. http://dx.doi.org/10.4028/www.scientific.net/amm.564.129.

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This study presents the assessment of the quality of speech intelligibility of two Malaysian mosques and the results are used to develop a set of general acoustical guidelines to be used in the design of a mosque. Two mosques were selected for the research: Masjid UPM and the Masjid Jamek. The objective of the research is to enable the comparison of the acoustics and speech intelligibility between the mosques as function of the size, volume, occupancy and other parameters of the main prayer hall on the acoustic and speech intelligibility of the respective mosques. The reverberation time (RT60)

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13

손남호, Hwang Hyosung, and Ho-Young Lee. "Emotional Speech Database and the Acoustic Analysis of Emotional Speech." EONEOHAG ll, no. 72 (2015): 175–99. http://dx.doi.org/10.17290/jlsk.2015..72.175.

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14

Sivaraman, Ganesh, Carol Espy-Wilson, Vikramjit Mitra, Hosung Nam, and Elliot Saltzman. "Analysis of acoustic to articulatory speech inversion for natural speech." Journal of the Acoustical Society of America 136, no. 4 (2014): 2082. http://dx.doi.org/10.1121/1.4899477.

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15

Радовановић, Драгана, та Снежана Гудурић. "АКУСТИЧКЕ ОСОБЕНОСТИ ФРИКАТИВА /Ш/ И /Ж/ У БАТАЊИ (МАЂАРСКА) И НАЋФАЛИ (РУМУНИЈА)". ИСХОДИШТА 1, № 7 (2021): 369–83. http://dx.doi.org/10.46630/ish.7.2021.25.

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This paper deals with the acoustic nature of fricative palatal consonants [ʃ], [ʒ] in the speech of Batanja and Nacfala. The obtained results were compared with the acoustic nature of the equivalent consonants in standard Serbian and in the speech of Novi Sad. The results show that the fricatives [ʃ] and [ʒ] of Batanja and Nacfala speeches differ from standard Serbian and Novi Sad speech, but also they differ between themselves. This research also represents an introduction of the acoustic analysis of the speech of Batanja and Nacfala.

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Scott, Sophie, and Peter Howell. "Perceptual centers in speech: An acoustic analysis." Journal of the Acoustical Society of America 92, no. 4 (1992): 2443. http://dx.doi.org/10.1121/1.404580.

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Jovičić, Slobodan T., and Zoran Šarić. "Acoustic Analysis of Consonants in Whispered Speech." Journal of Voice 22, no. 3 (2008): 263–74. http://dx.doi.org/10.1016/j.jvoice.2006.08.012.

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18

Liu, Sisi, Yasheng Jin, and Hongzhi Yu. "An Acoustic Analysis for Infants Speech Syllables." SHS Web of Conferences 17 (2015): 02003. http://dx.doi.org/10.1051/shsconf/20151702003.

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19

Gordon, John W. "Acoustic‐phonetic analysis of stress‐induced speech." Journal of the Acoustical Society of America 85, S1 (1989): S57—S58. http://dx.doi.org/10.1121/1.2027046.

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20

Caruso, Anthony J., A. Wilcox, J. Anthony Seikel, and Patti Haight. "Acoustic analysis of amyotrophic lateral sclerosis speech." Journal of the Acoustical Society of America 79, S1 (1986): S38—S39. http://dx.doi.org/10.1121/1.2023206.

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21

Panek, Daria, Andrzej Skalski, Janusz Gajda, and Ryszard Tadeusiewicz. "Acoustic analysis assessment in speech pathology detection." International Journal of Applied Mathematics and Computer Science 25, no. 3 (2015): 631–43. http://dx.doi.org/10.1515/amcs-2015-0046.

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Abstract Automatic detection of voice pathologies enables non-invasive, low cost and objective assessments of the presence of disorders, as well as accelerating and improving the process of diagnosis and clinical treatment given to patients. In this work, a vector made up of 28 acoustic parameters is evaluated using principal component analysis (PCA), kernel principal component analysis (kPCA) and an auto-associative neural network (NLPCA) in four kinds of pathology detection (hyperfunctional dysphonia, functional dysphonia, laryngitis, vocal cord paralysis) using the a, i and u vowels, spoken

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Read, Charles, Eugene H. Buder, and Raymond D. Kent. "Speech Analysis Systems." Journal of Speech, Language, and Hearing Research 35, no. 2 (1992): 314–32. http://dx.doi.org/10.1044/jshr.3502.314.

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Performance characteristics are reviewed for seven systems marketed for acoustic speech analysis: CSpeech, CSRE, ILS-PC, Kay Elemetrics model 5500 Sona-Graph, MacSpeech Lab II, MSL, and Signalyze. The characteristics reviewed include system components, basic capabilities (signal acquisition, waveform operations, analysis, and other functions), documentation, user interface, data formats and journaling, speed and precision of spectral analysis, and speed and precision of fundamental frequency analysis. Basic capabilities are also tabulated for three recently introduced systems: the Sensimetrics

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23

Yamamoto, Katsuhiko, Toshio Irino, Toshie Matsui, Shoko Araki, Keisuke Kinoshita, and Tomohiro Nakatani. "Analysis of acoustic features for speech intelligibility prediction models analysis of acoustic features for speech intelligibility prediction models." Journal of the Acoustical Society of America 140, no. 4 (2016): 3114. http://dx.doi.org/10.1121/1.4969744.

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24

Odya, Piotr, Jozef Kotus, Adam Kurowski, and Bozena Kostek. "Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions." Sensors 21, no. 18 (2021): 6320. http://dx.doi.org/10.3390/s21186320.

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The paper aims to discuss a case study of sensing analytics and technology in acoustics when applied to reverberation conditions. Reverberation is one of the issues that makes speech in indoor spaces challenging to understand. This problem is particularly critical in large spaces with few absorbing or diffusing surfaces. One of the natural remedies to improve speech intelligibility in such conditions may be achieved through speaking slowly. It is possible to use algorithms that reduce the rate of speech (RoS) in real time. Therefore, the study aims to find recommended values of RoS in the cont

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25

Silva, Wellington da, and Ana Carolina Constantini. "Speech task affects the objective evaluation of dysphonic voices." Journal of Speech Sciences 7, no. 1 (2018): 1–15. http://dx.doi.org/10.20396/joss.v7i1.14988.

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The acoustic analysis of speech has proved useful in the clinical evaluation of dysphonia, for it allows an objective assessment of the voice. However, the literature has suggested that the type of speech task used to obtain voice samples from patients (sustained vowel or connected speech) may affect both the perceptual and the acoustic evaluation of dysphonic voices. This study aimed at investigating whether the type of speech task significantly influences the acoustic analysis of dysphonic voices. Five acoustic parameters related to voice quality (cepstral peak prominence, difference between

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26

Parjane, Natalia, Sunghye Cho, Sharon Ash, et al. "Digital Speech Analysis in Progressive Supranuclear Palsy and Corticobasal Syndromes." Journal of Alzheimer's Disease 82, no. 1 (2021): 33–45. http://dx.doi.org/10.3233/jad-201132.

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Background: Progressive supranuclear palsy syndrome (PSPS) and corticobasal syndrome (CBS) as well as non-fluent/agrammatic primary progressive aphasia (naPPA) are often associated with misfolded 4-repeat tau pathology, but the diversity of the associated speech features is poorly understood. Objective: Investigate the full range of acoustic and lexical properties of speech to test the hypothesis that PSPS-CBS show a subset of speech impairments found in naPPA. Methods: Acoustic and lexical measures, extracted from natural, digitized semi-structured speech samples using novel, automated method

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27

Debruyne, F., P. Delaere, J. Wouters, and P. Uwents. "Acoustic analysis of tracheo-oesophageal versus oesophageal speech." Journal of Laryngology & Otology 108, no. 4 (1994): 325–28. http://dx.doi.org/10.1017/s0022215100126660.

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AbstractIn order to evaluate the vocal quality of tracheo-oesophageal and oesophageal speech, several objective acoustic parameters were measured in the acoustic waveform (fundamental frequency, waveform perturbation) and in the frequency spectrum (harmonic prominence, spectral slope). Twelve patients using tracheo-oesophageal speech (with the Provox® valve) and 12 patients using oesophageal speech for at least two months, participated.The main results were that tracheo-oesophageal voices more often showed a detectable fundamental frequency, and that this fundamental frequency was fairly stabl

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Mandulak, Kerry Callahan. "“I Can See What You’re Saying”: Clinical Utility of Spectral Moment Analysis." Perspectives on Speech Science and Orofacial Disorders 21, no. 2 (2011): 44–54. http://dx.doi.org/10.1044/ssod21.2.44.

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Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available

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Schuster, Maria, Andreas Maier, Tino Haderlein, Ulrich Eysholdt, and Elmar Noeth. "Automatic acoustic analysis of substitute speech characteristica by speech recognition technique." Journal of the Acoustical Society of America 123, no. 5 (2008): 3890. http://dx.doi.org/10.1121/1.2935838.

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Overath, Tobias, and Joon H. Paik. "From acoustic to linguistic analysis of temporal speech structure: Acousto-linguistic transformation during speech perception using speech quilts." NeuroImage 235 (July 2021): 117887. http://dx.doi.org/10.1016/j.neuroimage.2021.117887.

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Drummond, Sakina, Kathy Krueger, Jess Dancer, and Gretchen Spring. "Perceptual and Acoustical Analysis of Alaryngeal Speech: Determinants of Intelligibility." Perceptual and Motor Skills 83, no. 3 (1996): 801–2. http://dx.doi.org/10.2466/pms.1996.83.3.801.

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The speech productions of 8 male alaryngeal speakers were used to identify four perceptual measures and five durational measures which were significant for identifying intelligibility of alaryngeal speech. The acoustic variable of duration was a key factor in relating perceptual and acoustic measures.

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32

Hickson, Louise, and Nick Thyer. "Acoustic Analysis of Speech through a Hearing Aid: Perceptual Effects of Changes with Two-Channel Compression." Journal of the American Academy of Audiology 14, no. 08 (2003): 414–26. http://dx.doi.org/10.1055/s-0040-1715932.

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Compression amplification significantly alters the acoustic speech signal in comparison to linear amplification. The central hypothesis of the present study was that the compression settings of a two-channel aid that best preserved the acoustic properties of speech compared to linear amplification would yield the best perceptual results, and that the compression settings that most altered the acoustic properties of speech compared to linear would yield significantly poorer speech perception. On the basis of initial acoustic analysis of the test stimuli recorded through a hearing aid, two diffe

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Truslow, Eric O., and Helen M. Hanson. "KlattWare tools for acoustic analysis of speech signals." Journal of the Acoustical Society of America 128, no. 4 (2010): 2290. http://dx.doi.org/10.1121/1.3508041.

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Muta, Hiroshi, Thomas Baer, and Hiroyuki Fukuda. "Acoustic analysis of hoarse voices in running speech." Journal of the Acoustical Society of America 82, S1 (1987): S18. http://dx.doi.org/10.1121/1.2024689.

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35

Laccourreye, Ollivier, Lise Crevier-Buchman, Véronique Jouffre, Henri Laccourreye, Daniel Brasnu, and Gregory Weinstein. "Acoustic parameters and speech analysis after supracricoid hemilaryngopharyngectomy." Laryngoscope 105, no. 11 (1995): 1223–26. http://dx.doi.org/10.1288/00005537-199511000-00016.

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36

Harris, Katherine S. "Speech research from acoustic transmission to gestural analysis." Journal of the Acoustical Society of America 103, no. 5 (1998): 3024. http://dx.doi.org/10.1121/1.422541.

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37

Sarma, Biswajit Dev, and S. R. Mahadeva Prasanna. "Acoustic–Phonetic Analysis for Speech Recognition: A Review." IETE Technical Review 35, no. 3 (2017): 305–27. http://dx.doi.org/10.1080/02564602.2017.1293570.

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Mogas Recalde, Jordi, Ramon Palau, and Marian Márquez. "How classroom acoustics influence students and teachers: A systematic literature review." Journal of Technology and Science Education 11, no. 2 (2021): 245. http://dx.doi.org/10.3926/jotse.1098.

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Acoustics in schools have been studied during years, but nowadays there are more possibilities than ever before to introduce improvements. This study presents a systematic literature review determining what acoustic parameters are present in classrooms and how they affect both teachers and students. Following the analysis, we put forward a two-block classification: the physical parameters of the sound or noise in the classroom and the consequences of the acoustics on the people in the classroom. Advances in the design of learning spaces and the use of technologies ranging from devices and gree

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Goberman, Alexander M., and Carl Coelho. "Acoustic analysis of Parkinsonian speech I: Speech characteristics and L-Dopa therapy." NeuroRehabilitation 17, no. 3 (2002): 237–46. http://dx.doi.org/10.3233/nre-2002-17310.

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Melle, Natalia, and Carlos Gallego. "Differential Diagnosis between Apraxia and Dysarthria Based on Acoustic Analysis." Spanish journal of psychology 15, no. 2 (2012): 495–504. http://dx.doi.org/10.5209/rev_sjop.2012.v15.n2.38860.

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Acoustic analysis provides objective quantitative measures of speech that enable a comprehensive and accurate understanding of motor disorders and complement the traditional measures. This paper aims to distinguish between normal and pathological speech, more specifically between apraxia of speech and spastic dysarthria in native Spanish speaking patients using acoustic parameters. Participants (4 aphasic with apraxia of speech, 4 with spastic dysarthria, and 15 without speech disorders) performed three different tasks: repeating the syllable sequence [pa-ta-ka], repeating the isolated syllabl

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Hirst, Daniel. "The analysis by synthesis of speech melody." Journal of Speech Sciences 1, no. 1 (2011): 55–83. http://dx.doi.org/10.20396/joss.v1i1.15011.

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This paper describes the application of the analysis by synthesis paradigm to the melody of speech. Acomplete chain of processes is described from the acoustic analysis of fundamental frequency (f0), via thephonetic modelling of f0 using the Momel algorithm, to the surface phonological representation of thecurves using the INTSINT alphabet. Each step of the chain is designed as a reversible process which can beused to generate an acoustic output allowing an objective evaluation of the analysis. Finally, the currentimplementation of ProZed, a prosody editor for linguists, is described. It is ar

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Nevler, Naomi, Sharon Ash, Corey McMillan, et al. "Automated analysis of natural speech in amyotrophic lateral sclerosis spectrum disorders." Neurology 95, no. 12 (2020): e1629-e1639. http://dx.doi.org/10.1212/wnl.0000000000010366.

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ObjectiveWe implemented automated methods to analyze speech and evaluate the hypothesis that cognitive and motor factors impair prosody in partially distinct ways in patients with amyotrophic lateral sclerosis (ALS).MethodsWe recruited 213 participants, including 67 with ALS (44 with motor ALS, 23 with ALS and frontotemporal degeneration [FTD]), 33 healthy controls, and neurodegenerative reference groups with behavioral variant FTD (n = 90) and nonfluent/agrammatic primary progressive aphasia (n = 23). Digitized, semistructured speech samples obtained from picture descriptions were automatical

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Oliveira, Patrícia M., Francisco Cardoso, Débora P. Maia, Mauro César Q. Cunningham, Antonio Lúcio Teixeira Jr, and César Reis. "Acoustic analysis of prosody in Sydenham's chorea." Arquivos de Neuro-Psiquiatria 68, no. 5 (2010): 744–48. http://dx.doi.org/10.1590/s0004-282x2010000500013.

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There are few studies of language and speech in patients with Sydenham's chorea (SC). We have done an acoustic analysis of fundamental frequency (F0), duration and intensity of declarative and interrogative sentences made by 20 SC patients, 20 patients with rheumatic fever (RF) without chorea, and compared them with 20 healthy age-matched controls (CO). Each group included 12 females. We found that there is no difference between the RF and CO groups in all studied parameters. Patients with SC, however, presented with a speech characterized by decreased F0 range (difference between minimum and

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Chang, Ran Ran, Xiao Qing Yu, Ying Ying Yuan, and Wang Gen Wan. "Emotional Analysis and Synthesis of Human Voice Based on STRAIGHT." Applied Mechanics and Materials 536-537 (April 2014): 105–10. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.105.

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Speech synthesis is a hot research of artificial intelligence today, and urgent difficulty to overcome is how to make the machine more "emotional intelligence" for the human-computer interaction. With the STRAIGHT algorithm, this paper extracted the acoustic feature parameters of the speech signals and did statistical analysis, modified the characteristic parameters of the neutral sounds to synthesize emotional speeches, including happy, angry, frustration, then analyzed a frame of spectrum of synthetic emotional speeches through standard voices, voices added noise and voices de-nosing. The ex

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Zhang, Yixin, Yoshitaka Nakajima, Kazuo Ueda, Takuya Kishida, and Gerard B. Remijn. "Comparison of Multivariate Analysis Methods as Applied to English Speech." Applied Sciences 10, no. 20 (2020): 7076. http://dx.doi.org/10.3390/app10207076.

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A newly developed factor analysis, origin-shifted factor analysis, was compared with a normal factor analysis to analyze the spectral changes of English speech. Our first aim was to investigate whether these analyses would cause differences in the factor loadings and the extracted spectral-factor scores. The methods mainly differed in whether to use cepstral liftering and an origin shift. The results showed that three spectral factors were obtained in four main frequency bands, but neither the cepstral liftering nor the origin shift distorted the essential characteristics of the factors. This

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Al Mahmud, Nahyan, and Shahfida Amjad Munni. "Qualitative Analysis of PLP in LSTM for Bangla Speech Recognition." International journal of Multimedia & Its Applications 12, no. 5 (2020): 1–8. http://dx.doi.org/10.5121/ijma.2020.12501.

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The performance of various acoustic feature extraction methods has been compared in this work using Long Short-Term Memory (LSTM) neural network in a Bangla speech recognition system. The acoustic features are a series of vectors that represents the speech signals. They can be classified in either words or sub word units such as phonemes. In this work, at first linear predictive coding (LPC) is used as acoustic vector extraction technique. LPC has been chosen due to its widespread popularity. Then other vector extraction techniques like Mel frequency cepstral coefficients (MFCC) and perceptual

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de Boer, Janna, Alban Voppel, Frank Wijnen, and Iris Sommer. "T59. ACOUSTIC SPEECH MARKERS FOR SCHIZOPHRENIA." Schizophrenia Bulletin 46, Supplement_1 (2020): S253—S254. http://dx.doi.org/10.1093/schbul/sbaa029.619.

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Abstract Background Clinicians routinely use impressions of speech as an element of mental status examination, including ‘pressured’ speech in mania and ‘monotone’ or ‘soft’ speech in depression or psychosis. In psychosis in particular, descriptions of speech are used to monitor (negative) symptom severity. Recent advances in computational linguistics have paved the way towards automated speech analyses as a biomarker for psychosis. In the present study, we assessed the diagnostic value of acoustic speech features in schizophrenia. We hypothesized that a classifier would be highly accurate (~

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Slavin, Dianne C., and Carole T. Ferrand. "Factor Analysis of Proficient Esophageal Speech: Toward a Multidimensional Model." Journal of Speech, Language, and Hearing Research 38, no. 6 (1995): 1224–31. http://dx.doi.org/10.1044/jshr.3806.1224.

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This study identified acoustic patterns in the speech samples of 26 esophageal speakers judged by experienced listeners to be highly proficient and intelligible. Tape-recorded readings were acoustically analyzed in terms of frequency, intensity, and duration variables. Application of two multidimensional statistical procedures, factor analysis and cluster analysis, revealed four distinctive acoustic profiles that captured all 26 subjects. The multidimensional model derived from these profiles maintains important individual differences in alaryngeal speech style.

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Hillenbrand, James M. "Acoustic Analysis of Voice: A Tutorial." Perspectives on Speech Science and Orofacial Disorders 21, no. 2 (2011): 31–43. http://dx.doi.org/10.1044/ssod21.2.31.

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Abstract:

This tutorial reviews acoustic methods that have been used to characterize vocal function. The most persuasive argument for the use of acoustic measures is that all of the information used by listeners to make judgments about speech is to be found in the acoustic signal. Acoustic methods have been used clinically to differentiate normal from abnormal voices, to aid in differential diagnosis, to evaluate the relative effectiveness of different treatment approaches, and to track progress in voice therapy. The measures discussed here focus on quantifying the degree of periodicity, the shape of th

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Miyazaki, Takeshi, Mitsunori Mizumachi, and Katsuyuki Niyada. "Acoustic Analysis of Breathy and Rough Voice Characterizing Elderly Speech." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 2 (2010): 135–41. http://dx.doi.org/10.20965/jaciii.2010.p0135.

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Abstract:

This paper aims at investigating acoustic features, which can objectively explain breathiness and roughness of elderly speech, respectively. In this paper, acoustic analysis was carried out using word sequences, which were uttered by 153 male speakers in the age range of between 20 and 89 years old. Concerning the breathiness, we confirmed that elderly breathy voices caused energy lift in higher frequency region over 4 kHz in average power spectra during the stationary parts in the uttered vowels. Concerning roughness, we observed the slight fluctuations, which synchronized with vocal cord vib

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