The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Techniques for estimating vocal-tract shapes from the speech signal
Abstract
This paper reviews methods for mapping from the acoustical properties of a speech signal to the geometry of the vocal tract that generated the signal. Such mapping techniques are studied for their potential application in speech synthesis, coding, and recognition. Mathematically, the estimation of the vocal tract shape from its output speech is a so-called inverse problem, where the direct problem is the synthesis of speech from a given time-varying geometry of the vocal tract and glottis. Different mappings are discussed: mapping via articulatory codebooks, mapping by nonlinear regression, mapping by basis functions, and mapping by neural networks. Besides being nonlinear, the acoustic-to-geometry mapping is also nonunique, i.e., more than one tract geometry might produce the same speech spectrum. The authors show how this nonuniqueness can be alleviated by imposing continuity constraints.>
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
A Stochastic Approximation Method
Robbins, H., & Monro, S. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729586 · Cited by 9,643
An Algorithm for Vector Quantizer Design
Linde, Y., Buzo, A., & Gray, R. (1980) · IEEE Transactions on Communications · doi:10.1109/tcom.1980.1094577 · Cited by 7,201
Speech Analysis Synthesis and Perception
Flanagan, J. L. (1972) · doi:10.1007/978-3-662-01562-9 · Cited by 1,469
A Dynamical Approach to Gestural Patterning in Speech Production
Saltzman, E. L., & Munhall, K. G. (1989) · Ecological Psychology · doi:10.1207/s15326969eco0104_2 · Cited by 946
Cited by
Quantitative association of vocal-tract and facial behavior
Yehia, H., Rubin, P., & Vatikiotis-Bateson, E. (1998) · Speech Communication · doi:10.1016/s0167-6393(98)00048-x · Cited by 420
Applications of Digital Signal Processing to Audio and Acoustics
(2002) · The International Series in Engineering and Computer Science · doi:10.1007/b117882 · Cited by 278
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
- Schroeter, J., & Sondhi, M. M.
- Venue
- IEEE Transactions on Speech and Audio Processing
- Published
- 1994-01
- Volume
- 2
- Issue
- 1
- Pages
- 133-150
- ISSN
- 1063-6676 (ISSN-L)
- OpenAlex
- W2143493821
- Cited by
- 188
- References
- 4
- FWCI
- 13.14
- 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: Techniques for estimating vocal-tract shapes from the speech signal. https://app.cochat.ai/papers/10.1109/89.260356
- The paper
- Schroeter, J., & Sondhi, M. M. (1994). Techniques for estimating vocal-tract shapes from the speech signal. IEEE Transactions on Speech and Audio Processing. https://doi.org/10.1109/89.260356
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.