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
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Praat: Doing Phonetics by Computer. https://app.cochat.ai/papers/10.1097/aud.0b013e31821473f7
- The paper
- Praat: Doing Phonetics by Computer. (2011). Ear & Hearing. https://doi.org/10.1097/aud.0b013e31821473f7
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.