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Cited by 294

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

A frequency warping approach to speaker normalization

Open access
Lee, L., Rose, R.·1998·IEEE Transactions on Speech and Audio Processing

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 filterbank in mel-frequency cepstrum feature analysis. An experimental study comparing these techniques to other well-known techniques for reducing variability is described. The results have shown that frequency warping is consistently able to reduce word error rate by 20% even for very short utterances.

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Metadata

Authors
Lee, L., & Rose, R.
Venue
IEEE Transactions on Speech and Audio Processing
Published
1998
Volume
6
Issue
1
Pages
49-60
ISSN
1063-6676 (ISSN-L)
OpenAlex
W2164931619
Cited by
294
References
15
FWCI
6.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A frequency warping approach to speaker normalization. https://app.cochat.ai/papers/10.1109/89.650310
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Lee, L., & Rose, R. (1998). A frequency warping approach to speaker normalization. IEEE Transactions on Speech and Audio Processing. https://doi.org/10.1109/89.650310

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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.