The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Normalization of vowels by vocal-tract length and its application to vowel identification
Abstract
A new approach to speech parameter normalization is presented in which no prior knowledge about the input speakers is required. The vocal-tract length and area function are first estimated from the acoustic speech waveform, and then the area function is normalized to an acoustic tube of the same shape having a certain reference length. The normalized formant frequencies are defined as the resonance frequencies of this acoustic tube. The distributions of unnormalized and normalized formant frequencies for 9 stationary American vowels were investigated with 14 male and 12 female speakers. Fairly compact distributions of the vowels in the normalized F1-F2-F3space were obtained. A preliminary identification test for stationary vowels based on this normalization method showed an expected average recognition rate of 84-96 percent for arbitrarily selected speakers, depending on the phonetic criteria adopted for defining "correct" identification.
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
Cites
Control Methods Used in a Study of the Vowels
Peterson, G. E., & Barney, H. L. (1952) · The Journal of the Acoustical Society of America · doi:10.1121/1.1906875 · Cited by 2,837
Cited by
Automatic speech recognition and speech variability: A review
Benzeghiba, M., De Mori, R., Deroo, O., Dupont, S., Erbes, T., Jouvet, D., Fissore, L., Laface, P., Mertins, A., Ris, C., et al. (2007) · Speech Communication · doi:10.1016/j.specom.2007.02.006 · Cited by 529
A frequency warping approach to speaker normalization
Lee, L., & Rose, R. (1998) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.650310 · Cited by 294
Interacting with computers by voice: automatic speech recognition and synthesis
O'Shaughnessy, D. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.817117 · Cited by 132
Metadata
- Authors
- Wakita, H.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1977-04
- Volume
- 25
- Issue
- 2
- Pages
- 183-192
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2156886787
- Cited by
- 196
- References
- 1
- FWCI
- 4.35
- 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: Normalization of vowels by vocal-tract length and its application to vowel identification. https://app.cochat.ai/papers/10.1109/tassp.1977.1162929
- The paper
- Wakita, H. (1977). Normalization of vowels by vocal-tract length and its application to vowel identification. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1977.1162929
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.