The DOI matches its Crossref record.
Speaker normalization using efficient frequency warping procedures
Abstract
In an effort to reduce the degradation in speech recognition performance caused by variation in vocal tract shape among speakers, a frequency warping approach to speaker normalization is investigated. A set of low complexity, maximum likelihood based frequency warping procedures have been applied to speaker normalization for a telephone based connected digit recognition task. This paper presents an efficient means for estimating a linear frequency warping factor and a simple mechanism for implementing frequency warping by modifying the filter-bank in mel-frequency cepstrum feature analysis. An experimental study comparing these techniques to other well-known techniques for reducing variability is described. The results showed that frequency warping was consistently able to reduce word error rate by 20% even for very short utterances.
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
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
Self-citationA 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
Self-citationCluster adaptive training of hidden Markov models
Gales, M. J. F. (2000) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.848223 · Cited by 255
Geng, M., Xie, X., Ye, Z., Wang, T., Li, G., Hu, S., Liu, X., & Meng, H. (2022) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2022.3195113 · Cited by 48
Towards age-independent acoustic modeling
Gerosa, M., Giuliani, D., & Brugnara, F. (2009) · Speech Communication · doi:10.1016/j.specom.2009.01.006 · Cited by 28
Metadata
- Authors
- Lee, L., & Rose, R. C.
- Venue
- 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings
- Publisher
- IEEE
- Published
- 2002-12-24
- Volume
- 1
- Pages
- 353-356
- ISSN
- 1520-6149 (ISSN-L)
- OpenAlex
- W2106119541
- Cited by
- 266
- References
- 0
- FWCI
- 16.04
- Type
- conference paper
- 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: Speaker normalization using efficient frequency warping procedures. https://app.cochat.ai/papers/10.1109/icassp.1996.541105
- The paper
- Lee, L., & Rose, R. C. (2002). Speaker normalization using efficient frequency warping procedures. 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings. https://doi.org/10.1109/icassp.1996.541105
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.