Foundations of Voice Studies: An Interdisciplinary Approach to Voice Production and Perception
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Breathing is an automatically controlled process that serves gas exchange and thermoregulatory processes.
“The first process, breathing is an automatically controlled process that serves the ultimate vital function of the exchange of gasses and thermoregulatory processes (Kreiman and Sidtis, 2011).”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Kreiman and Sidtis, 2011
Voice production is the coordination of three processes: breathing, phonation, and resonance.
“Voice production is the coordination of three processes, i.e., breathing, phonation and resonance (Kreiman and Sidtis, 2011).”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Kreiman and Sidtis, 2011
Any change in the control of the laryngeal and/or pharyngeal system may be reflected in the use of the oral cavities.
“Any change in the control of the laryngeal and/or pharyngeal system may be reflected in the use of the oral cavities (Kreiman and Sidtis, 2011; Hansen and Patil, 2007).”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Kreiman and Sidtis, 2011
Increased tension of the cricothyroid muscle impacts the frequency of vocal fold vibration whereas increased subglottal pressure has an impact on vocal loudness.
“As mentioned above, increased tension of the cricothyroid muscle impacts the frequency of vocal fold vibration (Kreiman and Sidtis, 2011; Zhang, 2015) whereas increased subglottal pressure has an impact on the vocal loudness (Herbst et al., 2015; Zhang, 2015; Yao et al., 2016; Sundberg, 2017).”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Kreiman and Sidtis, 2011
Formants give insight into the functioning of the vocal tract and the laryngeal muscle system, so they are of interest for articulatory perturbations.
“Since formants give insight into the functioning of the vocal tract and the laryngeal muscle system, they are also of interest for articulatory perturbations.”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Kreiman and Sidtis, 2011
The superior laryngeal nerve innervates the cricothyroid muscle involved in vocal fold stretching and pitch regulation, and the recurrent laryngeal nerve controls all other intrinsic laryngeal muscles.
“For instance, the superior laryngeal nerve innervates the cricothyroid muscle that is involved in vocal fold stretching and, thus, pitch regulation (Kreiman and Sidtis, 2011) and the recurrent laryngeal nerve controls all of the other intrinsic laryngeal muscles.”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Kreiman and Sidtis, 2011
MFCCs can be considered as a spectrum of a spectrum and are indicative of breathiness in the voice.
“So, MFCCs can be considered as a spectrum of a spectrum (Kreiman and Sidtis, 2011) and are indicative of breathiness in the voice (e.g., Hillenbrand and Houde, 1996).”
From Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance (2018) · cites this paper as Kreiman and Sidtis, 2011
Cites
Still being checked.
Cited by
Sorted by citations
Eidsheim, N. S. (2018) · Duke University Press eBooks · doi:10.1215/9781478090359 · Cited by 646 · see citing works
The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language
Schuller, B. W., Steidl, S., Batliner, A. M., Hirschberg, J., Burgoon, J. K., Baird, A., Elkins, A. C., Zhang, Y., Coutinho, E., & Evanini, K. (2016) · Interspeech (USB) · doi:10.21437/interspeech.2016-129 · Cited by 243 · see citing works
Melody Extraction from Polyphonic Music Signals: Approaches, applications, and challenges
Salamon, J., Gómez, E., Ellis, D. P. W., & Gaël Richard, A. (2014) · IEEE Signal Processing Magazine · doi:10.1109/msp.2013.2271648 · Cited by 232 · see citing works
Esling, J. H., Moisik, S. R., Benner, A., & Crevier‐Buchman, L. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108696555 · Cited by 225 · see citing works
Ackermann, H., Hage, S. R., & Ziegler, W. (2014) · Behavioral and Brain Sciences · doi:10.1017/s0140525x13003099 · Cited by 210 · see citing works
Voice Modulation: A Window into the Origins of Human Vocal Control?
Pisanski, K., Cartei, V., McGettigan, C., Raine, J., & Reby, D. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.01.002 · Cited by 176 · see citing works
Norm-Based Coding of Voice Identity in Human Auditory Cortex
Latinus, M., McAleer, P., Bestelmeyer, P. E. G., & Belin, P. (2013) · Current Biology · doi:10.1016/j.cub.2013.04.055 · Cited by 155 · see citing works
Flexible voices: Identity perception from variable vocal signals
Lavan, N., Burton, A. M., Scott, S. K., & McGettigan, C. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-018-1497-7 · Cited by 154 · see citing works
Cross-language differences in fundamental frequency range: A comparison of English and German
Mennen, I., Schaeffler, F., & Docherty, G. (2012) · The Journal of the Acoustical Society of America · doi:10.1121/1.3681950 · Cited by 153 · see citing works
Good vibrations: A review of vocal expressions of positive emotions
Kamiloglu, R. G., Fischer, A. H., & Sauter, D. A. (2020) · Psychonomic Bulletin & Review · doi:10.3758/s13423-019-01701-x · Cited by 136 · see citing works
Laukka, P., Elfenbein, H. A., Thingujam, N. S., Rockstuhl, T., Iraki, F. K., Chui, W., & Althoff, J. (2016) · Journal of Personality and Social Psychology · doi:10.1037/pspi0000066 · Cited by 132 · see citing works
Skuk, V. G., & Schweinberger, S. R. (2013) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2013/12-0314 · Cited by 131 · see citing works
Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance
Van Puyvelde, M., Neyt, X., McGlone, F., & Pattyn, N. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01994 · Cited by 129 · see citing works
Toward a unified theory of voice production and perception
Kreiman, J. E., Gerratt, B. R., Garellek, M., Samlan, R. A., & Zhang, Z. (2014) · Loquens · doi:10.3989/loquens.2014.009 · Cited by 115 · see citing works
Self-citationZebra finches identify individuals using vocal signatures unique to each call type
Elie, J. E., & Theunissen, F. E. (2018) · Nature Communications · doi:10.1038/s41467-018-06394-9 · Cited by 114 · see citing works
Schweinberger, S. R., Kawahara, H., Simpson, A. P., Skuk, V. G., & Zäske, R. (2013) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1261 · Cited by 103 · see citing works
Bishop, J. B., & Keating, P. (2012) · The Journal of the Acoustical Society of America · doi:10.1121/1.4714351 · Cited by 102 · see citing works
Glottal source processing: From analysis to applications
Drugman, T., Alku, P., Alwan, A. A., & Yegnanarayana, B. (2014) · Computer Speech & Language · doi:10.1016/j.csl.2014.03.003 · Cited by 100 · see citing works
Voice-based assessments of trustworthiness, competence, and warmth in blind and sighted adults
Oleszkiewicz, A., Pisanski, K., Lachowicz‐Tabaczek, K., & Sorokowska, A. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1146-y · Cited by 95 · see citing works
Schlichter, A., & Eidsheim, N. S. (2014) · Postmodern Culture · doi:10.1353/pmc.2014.0012 · Cited by 92 · see citing works
Sidtis, D. V. L., & Kreiman, J. E. (2011) · Integrative Psychological and Behavioral Science · doi:10.1007/s12124-011-9177-4 · Cited by 91 · see citing works
Self-citationA System for Describing Vocal Timbre in Popular Song
Heidemann, K. E. (2016) · Music Theory Online · doi:10.30535/mto.22.1.2 · Cited by 83 · see citing works
Some Factors Underlying Individual Differences in Speech Recognition on PRESTO: A First Report
Tamati, T. N., Gilbert, J. L., & Pisoni, D. B. (2013) · Journal of the American Academy of Audiology · doi:10.3766/jaaa.24.7.10 · Cited by 83 · see citing works
Formulaic Language and Language Disorders
Sidtis, D. V. L. (2012) · Annual Review of Applied Linguistics · doi:10.1017/s0267190512000104 · Cited by 82 · see citing works
Self-citationKreiman, J. E., Shue, Y.-L., Chen, G., Iseli, M. R., Gerratt, B. R., Neubauer, J., & Alwan, A. A. (2012) · The Journal of the Acoustical Society of America · doi:10.1121/1.4747007 · Cited by 82 · see citing works
Self-citationThe Performative Power of Vocality
Magnat, V. (2019) · Routledge eBooks · doi:10.4324/9780429340338 · Cited by 80 · see citing works
Voice pitch modulation in human mate choice
Pisanski, K., Oleszkiewicz, A., Płachetka, J., Gmiterek, M., & Reby, D. (2018) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2018.1634 · Cited by 79 · see citing works
Voice parameters predict sex-specific body morphology in men and women
Pisanski, K., Jones, B. C., Fink, B., O’Connor, J. J. M., DeBruine, L. M., Röder, S., & Feinberg, D. R. (2015) · Animal Behaviour · doi:10.1016/j.anbehav.2015.11.008 · Cited by 76 · see citing works
Lavan, N., Burston, L., & Garrido, L. (2018) · British Journal of Psychology · doi:10.1111/bjop.12348 · Cited by 76 · see citing works
How do we recognise who is speaking
Mathias, S. R. (2014) · Frontiers in Bioscience-Scholar · doi:10.2741/s417 · Cited by 72 · see citing works
Perceptual Integration of Linguistic and Non‐Linguistic Properties of Speech
Nygaard, L. C., & Tzeng, C. Y. (2021) · Wiley eBooks · doi:10.1002/9781119184096.ch15 · Cited by 68 · see citing works
Stevenage, S. V. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.07.005 · Cited by 67 · see citing works
How do we describe other people from voices and faces?
Lavan, N. (2022) · Cognition · doi:10.1016/j.cognition.2022.105253 · Cited by 66 · see citing works
Automatic modelling of depressed speech: relevant features and relevance of gender
Hönig, F., Batliner, A. M., Nöth, E., Schnieder, S., & Krajewski, J. (2014) · Interspeech (USB) · doi:10.21437/interspeech.2014-313 · Cited by 66 · see citing works
Voice of Authority: Professionals Lower Their Vocal Frequencies When Giving Expert Advice
Sorokowski, P., Puts, D. A., Johnson, J., Żółkiewicz, O., Oleszkiewicz, A., Sorokowska, A., Kowal, M., Borkowska, B., & Pisanski, K. (2019) · Journal of Nonverbal Behavior · doi:10.1007/s10919-019-00307-0 · Cited by 66 · see citing works
Discourse Grammar, the dual process model, and brain lateralization: some correlations
Heine, B., Kuteva, T., & Kaltenböck, G. (2014) · Language and Cognition · doi:10.1017/langcog.2013.3 · Cited by 65 · see citing works
A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge
Schuller, B. W., Steidl, S., Batliner, A. M., Nöth, E., Vinciarelli, A., Burkhardt, F., van Son, R. J. J. H., Weninger, F. J., Eyben, F., Bocklet, T., et al. (2014) · Computer Speech & Language · doi:10.1016/j.csl.2014.08.003 · Cited by 65 · see citing works
Cross-Linguistic Differences in Bilinguals' Fundamental Frequency Ranges
Ordin, M., & Mennen, I. (2017) · Journal of Speech Language and Hearing Research · doi:10.1044/2016_jslhr-s-16-0315 · Cited by 65 · see citing works
Schelinski, S., & von Kriegstein, K. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-018-3681-z · Cited by 64 · see citing works
Davidson, L. (2020) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1547 · Cited by 63 · see citing works
A Closer Look at Formulaic Language: Prosodic Characteristics of Swedish Proverbs
Hallin, A. E., & Sidtis, D. V. L. (2015) · Applied Linguistics · doi:10.1093/applin/amu078 · Cited by 62 · see citing works
Self-citationHow Psychological Stress Affects Emotional Prosody
Paulmann, S., Desire, F., Bøkenes, A. M., & Cozzolino, P. J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165022 · Cited by 62 · see citing works
Functional connectivity within the voice perception network and its behavioural relevance
Aglieri, V., Chaminade, T., Takerkart, S., & Belin, P. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.011 · Cited by 62 · see citing works
Test-Retest Reliability for Aerodynamic Measures of Voice
Awan, S. N., Novaleski, C. K., & Yingling, J. R. (2013) · Journal of Voice · doi:10.1016/j.jvoice.2013.07.002 · Cited by 61 · see citing works
Fouquet, M., Pisanski, K., Mathevon, N., & Reby, D. (2016) · Royal Society Open Science · doi:10.1098/rsos.160395 · Cited by 60 · see citing works
ThermalWear: Exploring Wearable On-chest Thermal Displays to Augment Voice Messages with Affect
Ali, A. E., Yang, X., Ananthanarayan, S., Röggla, T., Jansen, J., Hartcher-O’Brien, J., Jansen, K. M. B., & Cesar, P. S. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376682 · Cited by 59 · see citing works
A “voice patch” system in the primate brain for processing vocal information?
Belin, P., Bodin, C., & Aglieri, V. (2018) · Hearing Research · doi:10.1016/j.heares.2018.04.010 · Cited by 58 · see citing works
The reliability of individual vocal signature varies across the bonobo's graded repertoire
Keenan, S., Mathevon, N., Stevens, J. M. G., Nicolè, F., Zuberbühler, K., Guéry, J., & Levréro, F. (2020) · Animal Behaviour · doi:10.1016/j.anbehav.2020.08.024 · Cited by 57 · see citing works
Impaired generalization of speaker identity in the perception of familiar and unfamiliar voices.
Lavan, N., Scott, S. K., & McGettigan, C. (2016) · Journal of Experimental Psychology General · doi:10.1037/xge0000223 · Cited by 57 · see citing works
Volitional exaggeration of body size through fundamental and formant frequency modulation in humans
Pisanski, K., Mora, E. C., Pisanski, A., Reby, D., Sorokowski, P., Frąckowiak, T., & Feinberg, D. R. (2016) · Scientific Reports · doi:10.1038/srep34389 · Cited by 56 · see citing works
A model for person perception from familiar and unfamiliar voices
Lavan, N., & McGettigan, C. (2023) · Communications Psychology · doi:10.1038/s44271-023-00001-4 · Cited by 55 · see citing works
You ‘have’ to hear this: Using tone of voice to motivate others.
Weinstein, N., Zougkou, K., & Paulmann, S. (2017) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000502 · Cited by 55 · see citing works
McKenzie, R. M., & Gilmore, A. (2015) · International Journal of Applied Linguistics · doi:10.1111/ijal.12110 · Cited by 54 · see citing works
Analysis of speech features and personality traits
Guidi, A., Gentili, C., Scilingo, E. P., & Vanello, N. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.01.027 · Cited by 54 · see citing works
Theoretical achievements of phonetics in the 21st century: Phonetics of voice quality
Garellek, M. (2022) · Journal of Phonetics · doi:10.1016/j.wocn.2022.101155 · Cited by 53 · see citing works
Fathers' Infant-Directed Speech in a Small-Scale Society
Broesch, T., & Bryant, G. A. (2017) · Child Development · doi:10.1111/cdev.12768 · Cited by 51 · see citing works
The Evolution of Human Vocal Emotion
Bryant, G. A. (2020) · Emotion Review · doi:10.1177/1754073920930791 · Cited by 51 · see citing works
The pitch of babies’ cries predicts their voice pitch at age 5
Levréro, F., Mathevon, N., Pisanski, K., Gustafsson, E., & Reby, D. (2018) · Biology Letters · doi:10.1098/rsbl.2018.0065 · Cited by 50 · see citing works
McKenzie, R. M. (2015) · Language Awareness · doi:10.1080/09658416.2014.998232 · Cited by 50 · see citing works
Perceptual interaction of the harmonic source and noise in voice
Kreiman, J. E., & Gerratt, B. R. (2012) · The Journal of the Acoustical Society of America · doi:10.1121/1.3665997 · Cited by 50 · see citing works
Self-citationShirvanian, M., & Saxena, N. (2014) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2660267.2660274 · Cited by 48 · see citing works
Schelinski, S., & von Kriegstein, K. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04244-1 · Cited by 48 · see citing works
Visual Representations of Acoustic Data: A Survey and Suggestions
Walker, G. (2017) · Research on Language and Social Interaction · doi:10.1080/08351813.2017.1375802 · Cited by 47 · see citing works
The Effects of Pitch, Gender, and Prosodic Context on the Identification of Creaky Voice
Davidson, L. (2018) · Phonetica · doi:10.1159/000490948 · Cited by 47 · see citing works
Effects of Four Voice Qualities and Formant Dispersion on Perception of a Female Voice
Levitt, A. G., & Lucas, M. (2018) · Psychology of Language and Communication · doi:10.2478/plc-2018-0018 · Cited by 47 · see citing works
Listeners form average-based representations of individual voice identities
Lavan, N., Knight, S., & McGettigan, C. (2019) · Nature Communications · doi:10.1038/s41467-019-10295-w · Cited by 47 · see citing works
Ground truth tracings (GTT): On the epistemic limits of machine learning
Kang, E. B. (2023) · Big Data & Society · doi:10.1177/20539517221146122 · Cited by 47 · see citing works
Raine, J., Pisanski, K., Bond, R., Simner, J., & Reby, D. (2019) · PLoS ONE · doi:10.1371/journal.pone.0213034 · Cited by 47 · see citing works
The cross‐linguistic patterns of phonation types
Esposito, C. M., & Khan, S. U. D. (2020) · Language and Linguistics Compass · doi:10.1111/lnc3.12392 · Cited by 46 · see citing works
Segundo, E. S., Tsanas, A., & Gómez‐Vilda, P. (2016) · Forensic Science International · doi:10.1016/j.forsciint.2016.11.020 · Cited by 45 · see citing works
Acoustic and linguistic factors affecting perceptual dissimilarity judgments of voices
Perrachione, T. K., Furbeck, K. T., & Thurston, E. J. (2019) · The Journal of the Acoustical Society of America · doi:10.1121/1.5126697 · Cited by 44 · see citing works
Vocal Change Patterns During a Teaching Day: Inter- and Intra-subject Variability
Remacle, A., Garnier, M., Gerber, S., David, C. V., & Pétillon, C. (2017) · Journal of Voice · doi:10.1016/j.jvoice.2017.03.008 · Cited by 42 · see citing works
The use of the Vocal Profile Analysis for speaker characterization: Methodological proposals
Segundo, E. S., Foulkes, P., French, P. W., Harrison, P., Hughes, V., & Kavanagh, C. (2018) · Journal of the International Phonetic Association · doi:10.1017/s0025100318000130 · Cited by 41 · see citing works
Jensenius, A. R. (2022) · The MIT Press eBooks · doi:10.7551/mitpress/14220.001.0001 · Cited by 41 · see citing works
McGettigan, C. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00129 · Cited by 41 · see citing works
Feldman, M., Wilbourne, E., Rings, S., Kane, B., & Davies, J. Q. (2015) · Journal of the American Musicological Society · doi:10.1525/jams.2015.68.3.653 · Cited by 40 · see citing works
Pisanski, K., Raine, J., & Reby, D. (2020) · Royal Society Open Science · doi:10.1098/rsos.191642 · Cited by 40 · see citing works
Voices to reckon with: perceptions of voice identity in clinical and non-clinical voice hearers
Badcock, J. C., & Chhabra, S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00114 · Cited by 39 · see citing works
Breaking voice identity perception: Expressive voices are more confusable for listeners
Lavan, N., Burston, L., Ladwa, P., Merriman, S. E., Knight, S., & McGettigan, C. (2019) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021819836890 · Cited by 39 · see citing works
Zhang, Z., Kreiman, J. E., Gerratt, B. R., & Garellek, M. (2013) · The Journal of the Acoustical Society of America · doi:10.1121/1.4770235 · Cited by 38 · see citing works
Self-citationYin, J., & Zhang, Z. (2014) · Journal of Biomechanical Engineering · doi:10.1115/1.4028428 · Cited by 38 · see citing works
Remacle, A., Bouchard, S., Étienne, A.-M., Rivard, M., & Morsomme, D. (2021) · Virtual Reality · doi:10.1007/s10055-020-00491-1 · Cited by 37 · see citing works
The bilingual voice: Vocal characteristics when speaking two languages across speech tasks
Lee, B., & Sidtis, D. V. L. (2017) · Speech Language and Hearing · doi:10.1080/2050571x.2016.1273572 · Cited by 37 · see citing works
Self-citationDevelopment of a glottal area index that integrates glottal gap size and open quotient
Chen, G., Kreiman, J. E., Gerratt, B. R., Neubauer, J., Shue, Y.-L., & Alwan, A. A. (2013) · The Journal of the Acoustical Society of America · doi:10.1121/1.4789931 · Cited by 36 · see citing works
Self-citationHow Charisma Is Perceived from Speech: A Multidimensional Approach
Signorello, R., D’Errico, F., Poggi, I., & Démolin, D. (2012) · International Conference on Social Computing · doi:10.1109/socialcom-passat.2012.68 · Cited by 36 · see citing works
Conde, T., Gonçalves, Ó. F., & Pinheiro, A. P. (2018) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2018.08.007 · Cited by 34 · see citing works
Restraining mechanisms in regulating glottal closure during phonation
Zhang, Z. (2011) · The Journal of the Acoustical Society of America · doi:10.1121/1.3658477 · Cited by 34 · see citing works
Sidtis, D. V. L., & Sidtis, J. J. (2018) · Brain and Cognition · doi:10.1016/j.bandc.2018.08.003 · Cited by 33 · see citing works
Self-citationInfant cries convey both stable and dynamic information about age and identity
Lockhart-Bouron, M., Anikin, A., Pisanski, K., Corvin, S., Cornec, C., Papet, L., Levréro, F., Fauchon, C., Patural, H., Reby, D., et al. (2023) · Communications Psychology · doi:10.1038/s44271-023-00022-z · Cited by 31 · see citing works
Comparing unfamiliar voice and face identity perception using identity sorting tasks
Johnson, J. A., McGettigan, C., & Lavan, N. (2020) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021820938659 · Cited by 30 · see citing works
Voicing of glottal consonants and non-modal vowels
Garellek, M., Chai, Y., Huang, Y., & Doren, M. V. (2021) · Journal of the International Phonetic Association · doi:10.1017/s0025100321000116 · Cited by 30 · see citing works
Forensic linguistics: A scientometric review
Alduais, A. M. S., Al-Khulaidi, M. A., Allegretta, S., & Abdulkhalek, M. M. (2023) · Cogent Arts and Humanities · doi:10.1080/23311983.2023.2214387 · Cited by 30 · see citing works
Comparing Two Methods for Reducing Variability in Voice Quality Measurements
Kreiman, J. E., & Gerratt, B. R. (2010) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2010/10-0083 · Cited by 30 · see citing works
Self-citationVoice Register in Mon: Acoustics and Electroglottography
Abramson, A. S., Tiede, M., & Luangthongkum, T. (2015) · Phonetica · doi:10.1159/000441728 · Cited by 29 · see citing works
Human Stress Detection: Cortisol Levels in Stressed Speakers Predict Voice-Based Judgments of Stress
Pisanski, K., & Sorokowski, P. (2020) · Perception · doi:10.1177/0301006620978378 · Cited by 29 · see citing works
Grawunder, S., Uomini, N., Samuni, L., Bortolato, T., Girard‐Buttoz, C., Wittig, R. M., & Crockford, C. (2021) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0455 · Cited by 29 · see citing works
Zhang, G., Qin, Y. H., Zhang, W., Wu, J., Li, M., Gai, Y., Jiang, F., & Lee, T. (2023) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2023.3268571 · Cited by 29 · see citing works
Formulaic Language in an Emergentist Framework
Sidtis, D. V. L. (2015) · Wiley eBooks · doi:10.1002/9781118346136.ch26 · Cited by 29 · see citing works
Self-citationTrait evaluations of faces and voices: Comparing within- and between-person variability.
Lavan, N., Mileva, M., Burton, A. M., Young, A. W., & McGettigan, C. (2021) · Journal of Experimental Psychology General · doi:10.1037/xge0001019 · Cited by 28 · see citing works
Biometric imaginaries: Formatting voice, body, identity to data
Kang, E. B. (2022) · Social Studies of Science · doi:10.1177/03063127221079599 · Cited by 28 · see citing works
- Authors
- Kreiman, J., & Sidtis, D.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2011-04-08
- OpenAlex
- W4234095459
- Cited by
- 339
- References
- 0
- Citations by year
- 2026: 43 · 2025: 26 · 2024: 28 · 2023: 24 · 2022: 20 · 2021: 30 · 2020: 40 · 2019: 33 · 2018: 28 · 2017: 15 · 2016: 12 · 2015: 11 · 2014: 11 · 2013: 10 · 2012: 5
- FWCI
- 11.00
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Voice and Speech Disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Social Sciences › Arts and Humanities › Music › Diverse Music Education Insights
- Keywords
- voice studies, vocal pedagogy, voice training
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
