Relevant bibliographies by topics / Acoustic properties of voice

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Acoustic properties of voice'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Acoustic properties of voice"

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Quy, Nguyen Tran. "Acoustic properties of Vietnamese initial consonants." Science & Technology Development Journal - Social Sciences & Humanities 1, no. 4 (December 27, 2018): 67–76. http://dx.doi.org/10.32508/stdjssh.v1i4.465.

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In acoustic phonetic research, phonetic data is needed to prove authenticity. The acoustic phonetic analysis method is valid for verifying previous phonetic hypotheses. Thereby, lay the foundations of science to reinforce the notion of phonetic or phonetic study. The formant frequencies F1, F2, F3 are considered as the basis for measuring vowels. According to consonants, the length of VOT, formant transitions, antiformants, and locus frequencies will be noted. In this article, we present the basis to measure Vietnamese initial consonants such as: voiced consonants, voiceless consonants, stop consonants, fricative consonants, nasal consonants. The voiced consonants will have a voice bar and voiceless consonants will have no voice bar. Fricative consonants always have higher frequencies than stop consonants. Based on the spectral image of a consonant, we can determine the articulation of consonants. The acoustic properties of the nasal consonant and lateral consonant are nearly identical to the acoustic properties of the vowels, because in the construction of these consonants, the vocal cords are more vibrating.
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Fröhlich, Matthias, Dirk Michaelis, Hans Werner Strube, and Eberhard Kruse. "Acoustic Voice Analysis by Means of the Hoarseness Diagram." Journal of Speech, Language, and Hearing Research 43, no. 3 (June 2000): 706–20. http://dx.doi.org/10.1044/jslhr.4303.706.

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The hoarseness diagram (Michaelis, Fröhlich, & Strube, 1998a) has been proposed as a new approach to describe different acoustic properties of voices. To test its performance in the analysis of pathologically disturbed and normal voices five requirements are suggested that should be met by any acoustic voice-analysis protocol to be used in voice research and clinical practice. The hoarseness diagram is then tested with regard to these requirements. Individual voices are found to show a satisfactory localization in the diagram. Aspects of stationarity are discussed in the context of four case studies. The different cases illustrate that changes in the acoustic analysis results are observed if the voice-generation conditions change, whereas results are stationary if phonation conditions do not change. Different pathological voice groups defined on grounds of the specific phonation mechanism are found to map to specific regions of the hoarseness diagram, with differences between group locations being significant. All results can be interpreted without exceptions if the two hoarseness diagram coordinates are taken to reflect the vibrational irregularity of the voice-generation mechanisms on the one side and the degree of closure of the vibrating structures on the other side. The hoarseness diagram and its underlying algorithms are thus shown to constitute a useful approach to acoustic voice analysis in research and clinical practice. The tests themselves demonstrate several application possibilities, including the quantitative monitoring of individual voices.
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Shoup-Knox, Melanie L., Grant M. Ostrander, Gabrielle E. Reimann, and R. Nathan Pipitone. "Fertility-Dependent Acoustic Variation in Women’s Voices Previously Shown to Affect Listener Physiology and Perception." Evolutionary Psychology 17, no. 2 (April 1, 2019): 147470491984310. http://dx.doi.org/10.1177/1474704919843103.

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Previous research demonstrates that listeners perceive women’s voices as more attractive when recorded at high compared to low fertility phases of the menstrual cycle. This effect has been repeated with multiple voice recording samples, but one stimuli set has shown particularly robust replications. First collected by Pipitone and Gallup (2008), women were recorded counting from 1–10 on approximately the same day and time once a week for 4 weeks. Repeatedly, studies using these recordings have shown that naturally cycling women recorded at high fertility are rated as more attractive compared to voices of the same women at low fertility. Additionally, these stimuli have been shown to elicit autonomic nervous system arousal and precipitate a rise in testosterone levels among listeners. Although previous studies have examined the acoustic properties of voices across the menstrual cycle, they reach little consensus. The current study evaluates Pipitone and Gallup’s voice stimuli from an acoustic perspective, analyzing specific vocal characteristics of both naturally cycling women and women taking hormonal contraceptives. Results show that among naturally cycling women, variation in vocal amplitude (shimmer) was significantly lower in high fertility recordings compared to the women’s voices at low fertility. Harmonics-to-noise ratio and variation in voice pitch (jitter) also fluctuated systematically across voices sampled at different times during the menstrual cycle, though these effects were not statistically significant. It is possible that these acoustic changes could account for some of the replicated perceptual, hormonal, and physiological changes documented in prior literature using these voice stimuli.
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Abbasi, Abdul, Mansoor Channa, Masood Memon, Stephen John, Irtaza Ahmed, and Kamlesh Kumar. "Acoustic Characteristics of Pakistani English Vowel Sounds." International Journal of English Linguistics 8, no. 5 (May 5, 2018): 27. http://dx.doi.org/10.5539/ijel.v8n5p27.

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The purpose of this investigation was to document acoustic characteristics of Pakistani English (PaKE) vowel sounds. The experiment was designed to examine the properties of ten vowels produced by Pakistani ESL learners. The analysis is based on the voice samples of recorded 50 CVC words. Total 5000 (10 10 50=5000) voiced samples were analyzed. The data consisted of 50 words of ten English vowel sounds [i: ɪ e ɔ: æ ə ɑ: u: ɒ ʊ]. Ten ESL speakers recorded their voice samples on Praat speech processing tool installed on laptop. Three parameters were considered i.e., fundamental frequency (F0), vowel quality (F1-F2) and duration. Formant patterns were judged manually by visual inspection on Praat Speech Processing Tool. Analysis of formant frequency shows numerous differences between male and female of F1 and F2, fundamental frequency and duration of English vowels. The voice samples provide evidence for higher and lower frequency of vowel sounds. Additionally, the data analysis illustrates that there were statistical differences in the values of short and long vowels coupled with vowel space plot showing explicit differences in locating the production of vowels of male & female vowel space acoustic realizations.
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Manning, Robert Kevin, Donald Fucci, and Richard Dean. "College-Age Males' Ability to Produce the Acoustic Properties of an Aging Voice." Perceptual and Motor Skills 94, no. 3 (June 2002): 767–71. http://dx.doi.org/10.2466/pms.2002.94.3.767.

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The purpose of this study was to examine college-age males' ability to produce the acoustic properties of the normally aging voice when reading. The 17 subjects ( M age = 21.13 yr., SD = 1.0) selected for this study were undergraduates who were placed into a single group. The procedure involved recording the subjects while reading The Rainbow Passage aloud. The first reading was in the subject's natural speaking voice. During the second reading, the reader imitated the voice of a normally aging 70-yr.-old man. Fundamental frequency and temporal measures were analyzed for each voice sample. Mean scores for each measure were compared for the natural speaking-voice production and the production when imitating the voice of a normally aging 70-yr.-old man. Analysis showed that temporal measures appear to have the most significant influence on subjects' production when imitating the normally aging voice as seen in the overall increase in all temporal measures.
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Moon, Jerald B., and Bernd Weinberg. "Aerodynamic and Myoelastic Contributions to Tracheoesophageal Voice Production." Journal of Speech, Language, and Hearing Research 30, no. 3 (September 1987): 387–95. http://dx.doi.org/10.1044/jshr.3003.387.

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Five laryngectomized, tracheoesophageal (TE) speakers completed a series of phonatory tasks developed to assess (a) aerodynamic and acoustic properties of TE voice and (b) aerodynamic and myoelastic contributions to the mediation of fundamental frequency change. These TE speakers' voices were characterized by increased trans-source airflow rates, comparable source driving pressures, and decreased airway resistances in comparison with standard esophageal speakers. TE speakers were capable of adjusting their voicing sources on a myoelastic basis to influence F o change. This result, coupled with findings that confirm aerodynamic contributions to TE phonation, are intepreted to suggest that TE voice production should be regarded as an aerodynamic-myeolastic event. Findings are integrated with existing data to highlight fundamental differences among TE, esophageal, and normal voice production.
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Lousada, Marisa, Luis M. T. Jesus, and Andreia Hall. "Temporal acoustic correlates of the voicing contrast in European Portuguese stops." Journal of the International Phonetic Association 40, no. 3 (November 24, 2010): 261–75. http://dx.doi.org/10.1017/s0025100310000186.

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This study focuses on the temporal analysis of stops /p b t d k ɡ/ and devoicing analysis of voiced stops /b d ɡ/ produced in different word positions by six native speakers of European Portuguese. The study explores acoustic properties related to voicing. The following acoustic properties were measured: voice onset time (VOT), stop duration, closure duration, release duration, voicing into closure duration, duration of the preceding vowel and duration of the following vowel. Results suggested that when [b d ɡ] were devoiced, the acoustic properties stop duration, closure duration, duration of the following vowel, duration of the preceding vowel and duration of voicing into closure were relevant for the voicing distinction. Implications for research and practice in speech and language therapy are discussed. Further investigation is needed to find how the productions analysed in the present study were perceived by listeners, specifically productions of devoiced stops.
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Askenfelt, Anders G., and Britta Hammarberg. "Speech Waveform Perturbation Analysis." Journal of Speech, Language, and Hearing Research 29, no. 1 (March 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 percentage of consecutive pitch period differences with alternating signs. The acoustic measures were tested on tape recorded speech samples from 41 voice patients, before and after successful therapy. Scattergrams of acoustic waveform perturbation data versus an average of perceived deviant voice qualities, as rated by voice clinicians, are presented. The perturbation measures were compared with regard to the acoustic-perceptual correlation and their ability to discriminate between normal and pathological voice status. The standard deviation of the distribution of the relative frequency differences was suggested as the most useful acoustic measure of waveform perturbations for clinical applications.
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Maryn, Youri, Marc Leblans, Andrzej Zarowski, and Julie Barkmeier-Kraemer. "Objective Acoustic Quantification of Perceived Voice Tremor Severity." Journal of Speech, Language, and Hearing Research 62, no. 10 (October 25, 2019): 3689–705. http://dx.doi.org/10.1044/2019_jslhr-s-19-0024.

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Purpose This study compared auditory-perceptual measures of presence/absence and severity of vocal tremor to acoustic markers of vocal tremor. The validity (both concurrent and diagnostic) of various acoustic markers of vocal tremor was also assessed. Method Fifty-six midvowel sustained [a:] recordings were selected to yield a representative convenience sample of vocal tremor. After training with 10 synthesized samples, 4 female audiologists rated these samples on “voice tremor severity” on a continuous 10-cm scale. Afterward, 15 randomly selected recordings were presented a 2nd time for intrarater reliability assessment. Customized audio signal processing in Praat yielded 12 acoustic measures of rate, extent and perturbation of fundamental frequency ( f 0 ), and intensity level (IL) modulation. Enter-type multiple linear regression analysis was applied to weight and combine these acoustic variables into an acoustic model of vocal tremor severity. Results After removing the vocal tremor severity ratings of 1 of the audiologists because of insufficient intra- and interrater reliability, mean single-measures consistency-type intraclass correlation coefficients equaled .83 within raters and .72 between raters. Correlation between mean ratings and the 12 acoustic markers ranged from .76 for median extent of f 0 modulation to .11 for rate of IL modulation. Correlation between mean ratings and the acoustic model was .89. Analysis of this model's receiver operating characteristics yielded an area under receiver operating characteristic curve of .93, denoting sensitivity of .87 and specificity of .91. Conclusions This study demonstrated that auditory-perceptual ratings of vocal tremor severity are guided primarily by f 0 and IL modulation extent, less by modulation perturbation, and least by modulation rate. The acoustic model covering all these modulation properties yielded acceptable results in terms of both concurrent and diagnostic validity. However, external cross-validation of this model is warranted before applying it in clinical voice/speech assessment.
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Saigusa, Julie. "The Effects of Forensically Relevant Face Coverings on the Acoustic Properties of Fricatives." Lifespans and Styles 3, no. 2 (June 1, 2017): 40–52. http://dx.doi.org/10.2218/ls.v3i2.2017.1866.

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This forensically motivated study investigates the effects of a motorcycle helmet, balaclava, and plastic mask on the acoustics of three English non-sibilant fricatives, /f/, /θ/, and /v/ in two individuals. It examines variation within the individual as an effect of the physical environment. Two speakers recorded a list of minimal pairs in each of the three guises and with no face covering. The results showed that facewear significantly affected fricative intensity and the four spectral moments: centre of gravity, standard deviation, skewness, and kurtosis. The acoustic changes caused by facewear have implications for judging the reliability of earwitnesses’ content recall and voice identification as well as forensic speech scientists’ examination of content and speaker identity in disputed recordings.
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Dissertations / Theses on the topic "Acoustic properties of voice"

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Baldwin, Carol May. "The voice of emotion: Acoustic properties of six emotional expressions." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184337.

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Studies in the perceptual identification of emotional states suggested that listeners seemed to depend on a limited set of vocal cues to distinguish among emotions. Linguistics and speech science literatures have indicated that this small set of cues included intensity, fundamental frequency, and temporal properties such as speech rate and duration. Little research has been done, however, to validate these cues in the production of emotional speech, or to determine if specific dimensions of each cue are associated with the production of a particular emotion for a variety of speakers. This study addressed deficiencies in understanding of the acoustical properties of duration and intensity as components of emotional speech by means of speech science instrumentation. Acoustic data were conveyed in a brief sentence spoken by twelve English speaking adult male and female subjects, half with dramatic training, and half without such training. Simulated expressions included: happiness, surprise, sadness, fear, anger, and disgust. The study demonstrated that the acoustic property of mean intensity served as an important cue for a vocal taxonomy. Overall duration was rejected as an element for a general taxonomy due to interactions involving gender and role. Findings suggested a gender-related taxonomy, however, based on differences in the ways in which men and women use the duration cue in their emotional expressions. Results also indicated that speaker training may influence greater use of the duration cue in expressions of emotion, particularly for male actors. Discussion of these results provided linkages to (1) practical management of emotional interactions in clinical and interpersonal environments, (2) implications for differences in the ways in which males and females may be socialized to express emotions, and (3) guidelines for future perceptual studies of emotional sensitivity.
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Knowles, Kristen. "Evolutionary and cognitive approaches to voice perception in humans : acoustic properties, personality and aesthetics." Thesis, University of Stirling, 2014. http://hdl.handle.net/1893/21784.

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Voices are used as a vehicle for language, and variation in the acoustic properties of voices also contains information about the speaker. Listeners use measurable qualities, such as pitch and formant traits, as cues to a speaker’s physical stature and attractiveness. Emotional states and personality characteristics are also judged from vocal stimuli. The research contained in this thesis examines vocal masculinity, aesthetics and personality, with an emphasis on the perception of prosocial traits including trustworthiness and cooperativeness. I will also explore themes which are more cognitive in nature, testing aspects of vocal stimuli which may affect trait attribution, memory and the ascription of identity. Chapters 2 and 3 explore systematic differences across vocal utterances, both in types of utterance using different classes of stimuli and across the time course of perception of the auditory signal. These chapters examine variation in acoustic measurements in addition to variation in listener attributions of commonly-judged speaker traits. The most important result from this work was that evaluations of attractiveness made using spontaneous speech correlated with those made using scripted speech recordings, but did not correlate with those made of the same persons using vowel stimuli. This calls into question the use of sustained vowel sounds for the attainment of ratings of subjective characteristics. Vowel and single-word stimuli are also quite short – while I found that attributions of masculinity were reliable at very short exposure times, more subjective traits like attractiveness and trustworthiness require a longer exposure time to elicit reliable attributions. I conclude with recommending an exposure time of at least 5 seconds in duration for such traits to be reliably assessed. Chapter 4 examines what vocal traits affect perceptions of pro-social qualities using both natural and manipulated variation in voices. While feminine pitch traits (F0 and F0-SD) were linked to cooperativeness ratings, masculine formant traits (Df and Pf) were also associated with cooperativeness. The relative importance of these traits as social signals is discussed. Chapter 5 questions what makes a voice memorable, and helps to differentiate between memory for individual voice identities and for the content which was spoken by administering recognition tests both within and across sensory modalities. While the data suggest that experimental manipulation of voice pitch did not influence memory for vocalised stimuli, attractive male voices were better remembered than unattractive voices, independent of pitch manipulation. Memory for cross-modal (textual) content was enhanced by raising the voice pitch of both male and female speakers. I link this pattern of results to the perceived dominance of voices which have been raised and lowered in pitch, and how this might impact how memories are formed and retained. Chapter 6 examines masculinity across visual and auditory sensory modalities using a cross-modal matching task. While participants were able to match voices to muted videos of both male and female speakers at rates above chance, and to static face images of men (but not women), differences in masculinity did not influence observers in their judgements, and voice and face masculinity were not correlated. These results are discussed in terms of the generally-accepted theory that masculinity and femininity in faces and voices communicate the same underlying genetic quality. The biological mechanisms by which vocal and facial masculinity could develop independently are speculated.
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Krull, Diana. "Acoustic Properties as Predictors of Perceptual Responses : a Study of Swedish Voiced Stops." Doctoral thesis, Stockholms universitet, Institutionen för lingvistik, 1988. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-40213.

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In speech recognition algorithms and certain theories of speech perception the interpretation of the signal is based on " distance scores " for comparisons of the signal with stored references; in these theories, perception is seen as a product of stimulus and experience. The aim of the present thesis is to evaluate such distance measures by investigating the perceptual confusions of the Swedish voiced stops [b,d,q,g] in systematically varied fragments of vowel-consonantvowel stimuli providing 25 vowel contexts for each consonant. To what extent can perceptual identifications be accounted for in terms of the acoustic properties of  the stimuli? Short stimulus segments following stop release, chosen to elicit perceptual confusions, constituted the main material for this investigation. The resulting confusions were shown to form a regular pattern depending mainly on the acute/grave dimension of the following vowel. The acoustic distances calculated were based partly on formant frequencies at the consonant-vowel boundary, partly on filter-band spectra. B oth models provided distance measures which revealed regular patterns related in their essentials to the confusions. However, the predictive capacity of both models was improved by including the dynamic properties of the stimuli in the distance measures. The highest correlation between predicted and observed percent confusions, r=.85, was obtained with the fOlmant-based model. The asymmetries in the listeners' confusions were also shown to be predictable given acoustic data on the following vowel and were included in the calculations.
För att köpa boken skicka en beställning till exp@ling.su.se/ To order the book send an e-mail to exp@ling.su.se
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Schoenstgen, Jean. "Acoustic features of modal voice." Doctoral thesis, Universite Libre de Bruxelles, 2003. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211340.

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Chang, Wing-yin Maureen. "Perceptual and acoustic differences between aging voice and dysphonic voice." Click to view the E-thesis via HKUTO, 2001. http://sunzi.lib.hku.hk/hkuto/record/B36207810.

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Thesis (B.Sc)--University of Hong Kong, 2001.
"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, May 4, 2001. Also available in print.
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Sari, Hayri. "Underwater acoustic voice communications using digital techniques." Thesis, Loughborough University, 1997. https://dspace.lboro.ac.uk/2134/13854.

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An underwater acoustic voice communications system can provide a vital communication link between divers and surface supervisors. There are numerous situations in which a communication system is essential. In the event of an emergency, a diver's life may depend on fast and effective action at the surface. The design and implementation of a digital underwater acoustic voice communication system using a digital signal processor (DSP) is described. The use of a DSP enables the adoption of computationally complex speech signal processing algorithms and the transmission and reception of digital data through an underwater acoustic channel. The system is capable of operating in both transmitting and receiving modes by using a mode selection scheme. During the transmission mode, by using linear predictive coding (LPC), the speech signal is compressed whilst transmitting the compressed data in digital pulse position modulation (DPPM) format at a transmission rate of 2400 bps. At the receiver, a maximum energy detection technique is employed to identify the pulse position, enabling correct data decoding which in turn allows the speech signal to be reconstructed. The advantage of the system is to introduce advances in digital technology to underwater acoustic voice communications and update the present analogue systems employing AM and SSB modulation. Since the DSP-based system is designed in modular sections, the hardware and software can be modified if the performance of the system is inadequate. The communication system was tested successfully in a large indoor tank to simulate the effect of a short and very shallow underwater channel with severe multipath reverberation. The other objective of this study was to improve the quality of the transmitted speech signal. When the system is used by SCUBA divers, the speech signal is produced in a mask with a high pressure air environment, and bubble and breathing noise affect the speech clarity. Breathing noise is cancelled by implementing a combination of zero crossing rate and energy detection. In order to cancel bubble noise spectral subtraction and adaptive noise cancelling algorithms were simulated; the latter was found to be superior and was adopted for the current system.
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Wheeler, Karen Michelle. "Predicability of the Voice Handicap Index relative to acoustic measures of voice." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0000823.

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Li, Lai-ching Gina. "Voice quality of Cantonese tones an acoustic study /." Click to view the E-thesis via HKUTO, 1997. http://sunzi.lib.hku.hk/hkuto/record/B3620948X.

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Thesis (B.Sc)--University of Hong Kong, 1997.
"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 30, 1997." Also available in print.
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Suiter, Wendy. "Text manipulation voice with audio or acoustic augmentation /." Access electronically, 2007. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20080228.103431/index.html.

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Rockwell, Patricia Ann. "The voice of deceit: Comparing acoustic and perceptual data." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186929.

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This study examined the nature of deceptive vocal behavior in interactive situations. It compared those vocal features of deception that can be measured by acoustic equipment with those vocal features of deception that can be measured perceptually by human coders. As deception researchers traditionally measure vocal behavior with either acoustic or perceptual methods, it is uncertain what correspondence, if any, exists between these two methods. This study attempted to determine this correspondence. Deceptive interactions from an earlier study (Buller, Burgoon, Buslig & Roiger, 1993; Burgoon, Buller, Ebesu, White, and Rockwell, 1994) were used to conduct a detailed analysis of vocal features of deceptive speech. The vocal samples were analyzed perceptually and acoustically. Results indicated moderate correlations between some acoustic and perceptual variables, with neither measurement type proving conclusively superior to the other in discriminating between truth and deception. Of three categories examined (time, pitch, and intensity), the time variables of shorter message length, longer response latencies, slower tempo, and less fluency best discriminated between truthful and deceptive statements. Other variables that discriminated truth from deceit were increased intensity range, increased pitch level and variance, and less pleasant vocal quality. Analyses of deception type showed that fabricated deceptions were louder and lower pitched than equivocal deceptions. An analysis of deception planning, showed that planned deceptions exhibited more fluency, a lower pitch level, and less pitch variance than unplanned deceptions. An examination of correlations between deceiver/receiver evaluations of deceiver honesty and deceiver vocal behaviors showed moderate correlations occurred between these evaluations and length of response latencies, pitch level, pitch range, and pitch variance. In general, these findings provide further confirmation of Interpersonal Deception Theory.
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Books on the topic "Acoustic properties of voice"

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Uosukainen, Seppo. Properties of acoustic energy quantities. Espoo, Finland: Valtion teknillinen tutkimuskeskus, 1989.

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Antonio, Aguilar, and González Miguel, eds. Group properties of the acoustic differential equation. London: Taylor & Francis, 1995.

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Veksler, Naum Davidovich. Resonance acoustic spectroscopy. Berlin: Springer-Verlag, 1993.

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Dart, Sarah N. Articulatory and acoustic properties of apical and laminal articulations. Los Angeles: UCLA Phonetics Laboratory, 1991.

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Resonance in singing: Voice building through acoustic feedback. Princeton, NJ: Inside View Press, 2008.

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Miller, Donald Gray. Resonance in singing: Voice building through acoustic feedback. Princeton, NJ: Inside View Press, 2008.

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Miller, Donald Gray. Resonance in singing: Voice building through acoustic feedback. Princeton, NJ: Inside View Press, 2008.

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Miller, Donald Gray. Resonance in singing: Voice building through acoustic feedback. Princeton, NJ: Inside View Press, 2008.

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Miller, Donald Gray. Resonance in singing: Voice building through acoustic feedback. Princeton, NJ: Inside View Press, 2008.

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Bucur, Voichita. Acoustics of wood. Boca Raton: CRC Press, 1995.

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Book chapters on the topic "Acoustic properties of voice"

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Dupère, Iain D. J., Tian J. Lu, and Ann P. Dowling. "Acoustic Properties." In Cellular Ceramics, 381–99. Weinheim, FRG: Wiley-VCH Verlag GmbH & Co. KGaA, 2006. http://dx.doi.org/10.1002/3527606696.ch4e.

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Weiss, Benjamin, Jürgen Trouvain, and Felix Burkhardt. "Acoustic Correlates of Likable Speakers in the NSC Database." In Voice Attractiveness, 245–62. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6627-1_13.

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Gei, M., D. Bigoni, A. B. Movchan, and M. Bacca. "Band-Gap Properties of Prestressed Structures." In Acoustic Metamaterials, 61–82. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-4813-2_3.

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Raj, Hayley H., Austin J. Scholp, and Jack J. Jiang. "Nonlinear Acoustic Analysis of Voice Production." In Multidisciplinary Management of Pediatric Voice and Swallowing Disorders, 73–82. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26191-7_8.

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Sinha, Moitreyee, and Donald J. Buckley. "Acoustic Properties of Polymers." In Physical Properties of Polymers Handbook, 1021–31. New York, NY: Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-69002-5_60.

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Osswald, Tim A., and Georg Menges. "Acoustic Properties of Polymers." In Materials Science of Polymers for Engineers, 549–53. München: Carl Hanser Verlag GmbH & Co. KG, 2012. http://dx.doi.org/10.3139/9781569905241.014.

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Sari, H., and B. Woodward. "Digital underwater voice communications." In Underwater Acoustic Digital Signal Processing and Communication Systems, 127–65. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3617-5_4.

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Shahidan, Shahiron, and Nurul Izzati Raihan Ramzi Hannan. "Mechanical Properties of CBA Concrete." In Acoustic And Non-Acoustic Performance Coal Bottom Ash Concrete, 47–63. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7463-4_6.

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Heller Murray, Elizabeth, and Geralyn Harvey Woodnorth. "Clinical Approach to Acoustic Assessment." In Multidisciplinary Management of Pediatric Voice and Swallowing Disorders, 83–88. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26191-7_9.

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Priyadharshini, V., M. Vasupradaa, and K. Yeshoda. "Acoustic Analysis of Voice of Temple Priests." In Recent Developments in Acoustics, 67–73. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5776-7_6.

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Conference papers on the topic "Acoustic properties of voice"

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Erath, Byron D., Sean D. Peterson, Matias Zañartu, and Michael W. Plesniak. "A Wave Reflection Analog Extension for Reduced Order Vocal Fold Investigations With Asymmetric Intraglottal Flows." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80480.

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Abstract:
Voiced speech involves complex fluid-structure-acoustic interactions. When a critical lung pressure is achieved, the vocal folds are pushed apart inciting self-sustained oscillations. The interplay between the aerodynamic forces and the myoelastic tissue properties produces robust oscillation of the vocal folds. The pulsatile nature of the flow as it emanates from vocal folds creates an oscillatory pressure field which acoustically excites the vocal tract and ultimately forms intelligible sound. Recently, it has been shown that the acoustic pressures are high enough in magnitude that they modulate the static fluid pressures which drive the flow.1 This coupling effect creates a feedback loop with the fluids, acoustics, and vocal fold dynamics becoming interconnected. Consequently, speech science investigations that aim to capture the relevant physics must consider all three components to yield credible, clinically-relevant results.
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Aikawa, Kiyoaki, Junko Uenuma, and Tomoko Akitake. "Acoustic correlates of voice quality improvement by voice training." In Interspeech 2010. ISCA: ISCA, 2010. http://dx.doi.org/10.21437/interspeech.2010-750.

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Cai, Huanchen. "Acoustic Analysis of Resonance Characteristics of Head Voice and Chest Voice." In 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2019. http://dx.doi.org/10.1109/cisp-bmei48845.2019.8966068.

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Di Crescenzo, Giovanni, Munir Cochinwala, and Hyong S. Shim. "Modeling cryptographic properties of voice and voice-based entity authentication." In the 2007 ACM workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1314403.1314413.

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Borovikova, Darya V., and Vladimir K. Makukha. "Comparative analysis of acoustic voice-quality parameters." In 2015 16th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM). IEEE, 2015. http://dx.doi.org/10.1109/edm.2015.7184606.

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Li, Ying, Abraham Miller, Arthur Liu, Kyle Coburn, and Luis J. Salazar. "Acoustic Measures for Real-Time Voice Coaching." In KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3394486.3403326.

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Clapham, Renee P., Corina J. Van As-Brooks, Michiel W. M. Van den Brekel, Frans J. M. Hilgers, and Rob J. J. H. Van Son. "Automatic tracheoesophageal voice typing using acoustic parameters." In Interspeech 2013. ISCA: ISCA, 2013. http://dx.doi.org/10.21437/interspeech.2013-511.

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Bhat, Chitralekha, and Sunil Kumar Kopparapu. "FEMH Voice Data Challenge: Voice disorder Detection and Classification using Acoustic Descriptors." In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622543.

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Dhivya, R., and Judith Justin. "Assessment of acoustic parameters of prosthetic voice and comparison with a normal voice." In 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE). IEEE, 2014. http://dx.doi.org/10.1109/icgccee.2014.6922434.

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Harada, Naoya, and Yoshihisa Nakatoh. "Comparison of Subjective Evaluation and Adults Voice to Acoustic Features of Children Voice." In The 6th IIAE International Conference on Intelligent Systems and Image Processing 2018. The Institute of Industrial Application Engineers, 2018. http://dx.doi.org/10.12792/icisip2018.012.

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Reports on the topic "Acoustic properties of voice"

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Scanlon, Michael V. Acoustic Sensor for Voice with Embedded Physiology. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada393753.

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Melville, W. K. Acoustic Properties of Bubble Plumes. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada425367.

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Campanella, R. Geotechnical Perspective: Can We Extract Physical Properties From Acoustic Properties? Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1987. http://dx.doi.org/10.4095/123313.

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Rajan, Subramaniam D. Range-Dependent Inversions for Bottom Acoustic Properties. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada630461.

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Neumann, Peter, and Gregory Muncill. Using Adaptive Simulated Annealing to Estimate Ocean Bottom Acoustic Properties from Acoustic Data. Fort Belvoir, VA: Defense Technical Information Center, May 2000. http://dx.doi.org/10.21236/ada377982.

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Jarzynski, Jacek. In-Situ Determination of Coating Material Acoustic Properties. Fort Belvoir, VA: Defense Technical Information Center, October 1996. http://dx.doi.org/10.21236/ada316228.

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Simpkin, P. G. The Correlation of Acoustic and Physical Properties of Marine Sediments; Proceedings Of The Acoustic - Geotechnicalcorrelation Workshop. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1987. http://dx.doi.org/10.4095/130298.

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Godin, Oleg A. Statistical Properties of the Acoustic Field in Inhomogeneous Oceanic Environments: Acoustic Uncertainty Due to Horizontal Refraction. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada629163.

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Figotin, Alex. Spectral Properties of Periodic and Disordered Dielectric and Acoustic Media. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada360464.

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Godin, Oleg A., and Alexander G. Voronovich. Statistical Properties of the Acoustic Field in Inhomogeneous Oceanic Environments. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada627535.

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