The DOI matches its Crossref record.
Praat: Doing Phonetics by Computer
Abstract
In Brief In this issue, a software package and a DVD are reviewed. Catherine Rogers highly recommends Praat: Doing Phonetics by Computer (www.praat.org) by Boersma and Weenink for teaching or research, noting that it provides tools for acoustic analysis, sound recording, signal editing, speech synthesis, stimulus presentation, data collection, and statistical procedures. Some procedures may even be automated through the use of scripts. Anne Olson describes the Listening and Communication Enhancement Training (LACE™, DVD version) by Neurotone, Inc., as a sentence-based program that adult hearing aid users can use at home or in the clinic to improve listening skills. She notes that this adaptive auditory training program may be useful for persons who do not have access to a computer or who may have difficulty operating one.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Opensmile: the munich versatile and fast open-source audio feature extractor
Eyben, F., Wöllmer, M., & Schuller, B. (2010) · Proceedings of the 18th ACM international conference on Multimedia · doi:10.1145/1873951.1874246 · Cited by 2,642
Natural speech reveals the semantic maps that tile human cerebral cortex
Huth, A. G., de Heer, W. A., Griffiths, T. L., Theunissen, F. E., & Gallant, J. L. (2016) · Nature · doi:10.1038/nature17637 · Cited by 1,504
Music training for the development of auditory skills
Kraus, N., & Chandrasekaran, B. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2882 · Cited by 1,115
Auditory Brain Stem Response to Complex Sounds: A Tutorial
Skoe, E., & Kraus, N. (2010) · Ear & Hearing · doi:10.1097/aud.0b013e3181cdb272 · Cited by 775
Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson’s Disease
Tsanas, A., Little, M. A., McSharry, P. E., Spielman, J., & Ramig, L. O. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2183367 · Cited by 732
Pronunciation Fundamentals: Evidence-based perspectives for L2 teaching and research
Derwing, T. M., & Munro, M. J. (2015) · Language Learning & Language Teaching · doi:10.1075/lllt.42 · Cited by 656
Spoofing and countermeasures for speaker verification: A survey
Wu, Z., Evans, N., Kinnunen, T., Yamagishi, J., Alegre, F., & Li, H. (2015) · Speech Communication · doi:10.1016/j.specom.2014.10.005 · Cited by 601
Projecting the End of a Speaker's Turn: A Cognitive Cornerstone of Conversation
de Ruiter, J. P., Mitterer, H., & Enfield, N. J. (2006) · Language · doi:10.1353/lan.2006.0130 · Cited by 557
Davis, M. H., Johnsrude, I. S., Hervais-Adelman, A., Taylor, K., & McGettigan, C. (2005) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.134.2.222 · Cited by 531
Joint drumming: Social context facilitates synchronization in preschool children
Kirschner, S., & Tomasello, M. (2009) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2008.07.005 · Cited by 494
Detecting depression from facial actions and vocal prosody
Cohn, J. F., Kruez, T. S., Matthews, I., Yang, Y., Nguyen, M. H., Padilla, M. T., Zhou, F., & De la Torre, F. (2009) · 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops · doi:10.1109/acii.2009.5349358 · Cited by 494
Maryn, Y., Corthals, P., Van Cauwenberge, P., Roy, N., & De Bodt, M. (2010) · Journal of Voice · doi:10.1016/j.jvoice.2008.12.014 · Cited by 427
OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit
Eyben, F., Wollmer, M., & Schuller, B. (2009) · 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops · doi:10.1109/acii.2009.5349350 · Cited by 418
Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease
König, A., Satt, A., Sorin, A., Hoory, R., Toledo‐Ronen, O., Derreumaux, A., Manera, V., Verhey, F., Aalten, P., Robert, P. H., et al. (2015) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2014.11.012 · Cited by 380
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos
Zadeh, A., Zellers, R., Pincus, E., & Morency, L.-P. (2016) · arXiv · doi:10.48550/arxiv.1606.06259 · Cited by 350
Innovative diagnostic tools for early detection of Alzheimer's disease
Laske, C., Sohrabi, H. R., Frost, S. M., López-de-Ipiña, K., Garrard, P., Buscema, M., Dauwels, J., Soekadar, S. R., Mueller, S., Linnemann, C., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.06.004 · Cited by 316
Perceptual learning of Cantonese lexical tones by tone and non-tone language speakers
Francis, A. L., Ciocca, V., Ma, L., & Fenn, K. (2008) · Journal of Phonetics · doi:10.1016/j.wocn.2007.06.005 · Cited by 256
Turn-taking cues in task-oriented dialogue
Gravano, A., & Hirschberg, J. (2011) · Computer Speech & Language · doi:10.1016/j.csl.2010.10.003 · Cited by 254
Neural mechanisms for voice recognition
Andics, A., McQueen, J. M., Petersson, K. M., Gál, V., Rudas, G., & Vidnyánszky, Z. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.048 · Cited by 222
Deficient brainstem encoding of pitch in children with autism spectrum disorders
Russo, N. M., Skoe, E., Trommer, B., Nicol, T., Zecker, S., Bradlow, A., & Kraus, N. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.01.108 · Cited by 223
Women's attractiveness changes with estradiol and progesterone across the ovulatory cycle
Puts, D. A., Bailey, D. H., Cárdenas, R. A., Burriss, R. P., Welling, L. L. M., Wheatley, J. R., & Dawood, K. (2013) · Hormones and Behavior · doi:10.1016/j.yhbeh.2012.11.007 · Cited by 209
Infant-directed speech supports phonetic category learning in English and Japanese
Werker, J. F., Pons, F., Dietrich, C., Kajikawa, S., Fais, L., & Amano, S. (2007) · Cognition · doi:10.1016/j.cognition.2006.03.006 · Cited by 206
Attenuating information in spoken communication: for the speaker, or for the addressee?
Galati, A., & Brennan, S. E. (2010) · Journal of Memory and Language · doi:10.1016/j.jml.2009.09.002 · Cited by 200
Adverse Effects of Environmental Noise on Acoustic Voice Quality Measurements
Deliyski, D. D., Shaw, H. S., & Evans, M. K. (2005) · Journal of Voice · doi:10.1016/j.jvoice.2004.07.003 · Cited by 199
López-de-Ipiña, K., Alonso, J.-B., Travieso, C., Solé-Casals, J., Egiraun, H., Faundez-Zanuy, M., Ezeiza, A., Barroso, N., Ecay-Torres, M., Martinez-Lage, P., et al. (2013) · Sensors · doi:10.3390/s130506730 · Cited by 190
Perceptual restoration of masked speech in human cortex
Leonard, M. K., Baud, M. O., Sjerps, M. J., & Chang, E. F. (2016) · Nature Communications · doi:10.1038/ncomms13619 · Cited by 170
Altering Context Speech Rate Can Cause Words to Appear or Disappear
Dilley, L. C., & Pitt, M. A. (2010) · Psychological Science · doi:10.1177/0956797610384743 · Cited by 187
Miller, S. L., Maner, J. K., & Becker, D. V. (2010) · Journal of Personality and Social Psychology · doi:10.1037/a0018086 · Cited by 177
Mapping emotions into acoustic space: the role of voice production.
Patel, S., Scherer, K. R., Björkner, E., & Sundberg, J. (2011) · Biological Psychology · doi:10.1016/j.biopsycho.2011.02.010 · Cited by 177
Calhoun, S., Carletta, J., Brenier, J. M., Mayo, N., Jurafsky, D., Steedman, M., & Beaver, D. (2010) · Language Resources and Evaluation · doi:10.1007/s10579-010-9120-1 · Cited by 174
Tutorial and Guidelines on Measurement of Sound Pressure Level in Voice and Speech
Švec, J. G., & Granqvist, S. (2018) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2017_jslhr-s-17-0095 · Cited by 166
Goldwater, S., Jurafsky, D., & Manning, C. D. (2010) · Speech Communication · doi:10.1016/j.specom.2009.10.001 · Cited by 166
Production of coronal stops by simultaneous bilingual adults.
SUNDARA, M., POLKA, L., & BAUM, S. (2006) · Bilingualism: Language and Cognition · doi:10.1017/s1366728905002403 · Cited by 153
Word recognition reflects dimension-based statistical learning.
Idemaru, K., & Holt, L. L. (2011) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/a0025641 · Cited by 152
Anticipation in turn-taking: mechanisms and information sources
Riest, C., Jorschick, A. B., & de Ruiter, J. P. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00089 · Cited by 145
López-de-Ipiña, K., Alonso, J. B., Solé-Casals, J., Barroso, N., Henriquez, P., Faundez-Zanuy, M., Travieso, C. M., Ecay-Torres, M., Martínez-Lage, P., & Eguiraun, H. (2015) · Cognitive Computation · doi:10.1007/s12559-013-9229-9 · Cited by 132
Error weighted semi-coupled hidden Markov model for audio-visual emotion recognition
Lin, J.-C., Wu, C.-H., & Wei, W.-L. (2012) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2011.2171334 · Cited by 121
Neural ensemble dynamics in dorsal motor cortex during speech in people with paralysis
Stavisky, S. D., Willett, F. R., Wilson, G. H., Murphy, B. A., Rezaii, P., Avansino, D. T., Memberg, W. D., Miller, J. P., Kirsch, R. F., Hochberg, L. R., et al. (2019) · eLife · doi:10.7554/elife.46015 · Cited by 105
Ways of looking ahead: Hierarchical planning in language production
Lee, E.-K., Brown-Schmidt, S., & Watson, D. G. (2013) · Cognition · doi:10.1016/j.cognition.2013.08.007 · Cited by 100
Iconicity can ground the creation of vocal symbols
Perlman, M., Dale, R., & Lupyan, G. (2015) · Royal Society Open Science · doi:10.1098/rsos.150152 · Cited by 99
Pathomechanisms and compensatory efforts related to Parkinsonian speech
Arnold, C., Gehrig, J., Gispert, S., Seifried, C., & Kell, C. A. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.10.016 · Cited by 98
Please, tell me about yourself: automatic personality assessment using short self-presentations
Batrinca, L. M., Mana, N., Lepri, B., Pianesi, F., & Sebe, N. (2011) · Proceedings of the 13th international conference on multimodal interfaces · doi:10.1145/2070481.2070528 · Cited by 96
Variation in dual-task performance reveals late initiation of speech planning in turn-taking
Sjerps, M. J., & Meyer, A. S. (2015) · Cognition · doi:10.1016/j.cognition.2014.10.008 · Cited by 85
Brendel, B., Hertrich, I., Erb, M., Lindner, A., Riecker, A., Grodd, W., & Ackermann, H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.039 · Cited by 81
Tell me more! assessing interactions with social robots from speech
Laban, G., George, J.-N., Morrison, V., & Cross, E. S. (2020) · Paladyn, Journal of Behavioral Robotics · doi:10.1515/pjbr-2021-0011 · Cited by 81
Fully Automatic Speech-Based Analysis of the Semantic Verbal Fluency Task
König, A., Linz, N., Tröger, J., Wolters, M., Alexandersson, J., & Robert, P. (2018) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000487852 · Cited by 77
Saito, K. (2013) · Language Learning · doi:10.1111/lang.12015 · Cited by 75
Vocal synchrony in psychotherapy.
Reich, C. M., Berman, J. S., Dale, R., & Levitt, H. M. (2014) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.2014.33.5.481 · Cited by 75
Barnes, J., Veilleux, N., Brugos, A., & Shattuck-Hufnagel, S. (2012) · Laboratory Phonology · doi:10.1515/lp-2012-0017 · Cited by 74
Gesture Facilitates the Syntactic Analysis of Speech
Holle, H., Obermeier, C., Schmidt-Kassow, M., Friederici, A. D., Ward, J., & Gunter, T. C. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00074 · Cited by 70
Fraile, R., Sáenz-Lechón, N., Godino-Llorente, J. I., Osma-Ruiz, V., & Fredouille, C. (2009) · Folia Phoniatrica et Logopaedica · doi:10.1159/000219950 · Cited by 62
Lindsay, H., Tröger, J., & König, A. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.642033 · Cited by 64
Do (women’s) words matter? The influence of gendered language in entrepreneurial pitching
Balachandra, L., Fischer, K., & Brush, C. (2021) · Journal of Business Venturing Insights · doi:10.1016/j.jbvi.2021.e00224 · Cited by 61
Discriminating between auditory and motor cortical responses to speech and nonspeech mouth sounds
Agnew, Z. K., McGettigan, C., & Scott, S. K. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00106 · Cited by 59
A comparison of sensory-motor activity during speech in first and second languages
Simmonds, A. J., Wise, R. J. S., Dhanjal, N. S., & Leech, R. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00343.2011 · Cited by 56
McGettigan, C., Evans, S., Rosen, S., Agnew, Z. K., Shah, P., & Scott, S. K. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00161 · Cited by 56
Hodges-Simeon, C. R., Gurven, M., Puts, D. A., & Gaulin, S. J. C. (2014) · Behavioral Ecology · doi:10.1093/beheco/aru081 · Cited by 54
Lam-Cassettari, C., & Kohlhoff, J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0236787 · Cited by 49
“Speech was segmented from the 2nd, 3rd and 4th minute of the interaction (after reducing silences >500ms, segments that were sung, whispered, interrupted or overlapped with non-speech sounds e.g., clapping, or patting toys) until 10-seconds of vocalisations was extracted for each mother using Praat Acoustical Analysis…”
MethodInfluentialVariability in the learning of complex morphophonology.
ETTLINGER, M., BRADLOW, A. R., & WONG, P. C. M. (2014) · Applied Psycholinguistics · doi:10.1017/s0142716412000586 · Cited by 47
Abbas, A., Sauder, C., Yadav, V., Koesmahargyo, V., Aghjayan, A., Marecki, S., Evans, M., & Galatzer-Levy, I. R. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.610006 · Cited by 49
Venuti, P., Caria, A., Esposito, G., De Pisapia, N., Bornstein, M. H., & de Falco, S. (2012) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2012.06.011 · Cited by 48
Speech-based characterization of dopamine replacement therapy in people with Parkinson’s disease
Norel, R., Agurto, C., Heisig, S., Rice, J. J., Zhang, H., Ostrand, R., Wacnik, P. W., Ho, B. K., Ramos, V. L., & Cecchi, G. A. (2020) · npj Parkinson's Disease · doi:10.1038/s41531-020-0113-5 · Cited by 45
Porritt, L. L., Zinser, M. C., Bachorowski, J.-A., & Kaplan, P. S. (2014) · Language Learning and Development · doi:10.1080/15475441.2013.802962 · Cited by 46
Brocklehurst, P. H., & Corley, M. (2011) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2010.11.004 · Cited by 46
Yao, B., Belin, P., & Scheepers, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.111 · Cited by 44
Lœvenbruck, H., Baciu, M., Segebarth, C., & Abry, C. (2005) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2004.12.002 · Cited by 42
Shinya, Y., Kawai, M., Niwa, F., & Myowa-Yamakoshi, M. (2014) · Biology Letters · doi:10.1098/rsbl.2014.0350 · Cited by 40
Pisanski, K., Nowak, J., & Sorokowski, P. (2016) · Physiology & Behavior · doi:10.1016/j.physbeh.2016.05.018 · Cited by 39
Articulatory movements modulate auditory responses to speech.
Agnew, Z. K., McGettigan, C., Banks, B., & Scott, S. K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.020 · Cited by 36
Temporal synchrony and audiovisual integration of speech and object stimuli in autism
Smith, E., Zhang, S., & Bennetto, L. (2017) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2017.04.001 · Cited by 33
Gingras, B., Pohler, G., & Fitch, W. T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102103 · Cited by 32
Withholding planned speech is reflected in synchronized beta-band oscillations
Piai, V., Roelofs, A., Rommers, J., Dahlslätt, K., & Maris, E. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00549 · Cited by 31
Training non-native aspirated plosives with hand gestures: learners’ gesture performance matters
Li, P., Xi, X., Baills, F., & Prieto, P. (2021) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2021.1937663 · Cited by 29
Fan, M., Zhao, Q., & Tibdewal, V. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445680 · Cited by 29
Dimension‐Based Statistical Learning Affects Both Speech Perception and Production
Lehet, M., & Holt, L. L. (2017) · Cognitive Science · doi:10.1111/cogs.12413 · Cited by 28
Timing and entrainment of multimodal backchanneling behavior for an embodied conversational agent
Inden, B., Malisz, Z., Wagner, P., & Wachsmuth, I. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction · doi:10.1145/2522848.2522890 · Cited by 25
Oertel, C., Lopes, J., Yu, Y., Mora, K. A. F., Gustafson, J., Black, A. W., & Odobez, J.-M. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction · doi:10.1145/2993148.2993188 · Cited by 21
Kaplan, P. S., Danko, C. M., Kalinka, C. J., & Cejka, A. M. (2012) · Infant Behavior and Development · doi:10.1016/j.infbeh.2012.02.009 · Cited by 20
Beijer, L. J., Rietveld, A. C. M., Ruiter, M. B., & Geurts, A. C. H. (2014) · Clinical Linguistics & Phonetics · doi:10.3109/02699206.2014.936627 · Cited by 18
Dysphagia diagnosis system with integrated speech analysis from throat vibration
Zhao, H., Jiang, Y., Wang, S., He, F., Ren, F., Zhang, Z., Yang, X., Zhu, C., Yue, J., Li, Y., et al. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117496 · Cited by 15
Perceptual evaluation of backchannel strategies for artificial listeners
Poppe, R., Truong, K. P., & Heylen, D. (2013) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-013-9219-z · Cited by 14
Bartolozzi, F., Jongman, S. R., & Meyer, A. S. (2021) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/xlm0000944 · Cited by 9
Thomas, R. P., Wang, L. A. L., Guthrie, W., Cola, M., McCleery, J. P., Pandey, J., Schultz, R. T., & Miller, J. S. (2019) · PLOS ONE · doi:10.1371/journal.pone.0216051 · Cited by 9
Postma-Nilsenová, M., Holt, E., Heyn, L., Groeneveld, K., & Finset, A. (2016) · Patient Education and Counseling · doi:10.1016/j.pec.2016.03.006 · Cited by 9
An experiment on gesture and fluency in two German schools
Janzen Ulbricht, N. (2018) · ELT Journal · doi:10.1093/elt/ccx059 · Cited by 8
Dorph, A., & McDonald, P. G. (2017) · PLOS ONE · doi:10.1371/journal.pone.0179337 · Cited by 7
Georgiou, G. P. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-020-04702-1 · Cited by 7
Global vs. segmental acoustic features for dysarthria assessment in motor neuron diseases
Attia, M., Simmatis, L., Sejdic, E., & Yunusova, Y. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.111291
(2013) · doi:10.1044/1058-0360(2013/12-0137
(2009) · doi:10.1044/1092-4388(2009/08-0138
Metadata
- Venue
- Ear & Hearing
- Published
- 2011-03
- Volume
- 32
- Issue
- 2
- Pages
- 266
- ISSN
- 0196-0202 (ISSN-L)
- OpenAlex
- W3216401400
- Cited by
- 7,863
- References
- 0
- FWCI
- 817.66
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.