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Cited by 288

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A Tandem Algorithm for Pitch Estimation and Voiced Speech Segregation

Guoning Hu, DeLiang Wang·2010·IEEE Transactions on Audio, Speech, and Language Processing

Abstract

A lot of effort has been made in computational auditory scene analysis (CASA) to segregate speech from monaural mixtures. The performance of current CASA systems on voiced speech segregation is limited by lacking a robust algorithm for pitch estimation. We propose a tandem algorithm that performs pitch estimation of a target utterance and segregation of voiced portions of target speech jointly and iteratively. This algorithm first obtains a rough estimate of target pitch, and then uses this estimate to segregate target speech using harmonicity and temporal continuity. It then improves both pitch estimation and voiced speech segregation iteratively. Novel methods are proposed for performing segregation with a given pitch estimate and pitch determination with given segregation. Systematic evaluation shows that the tandem algorithm extracts a majority of target speech without including much interference, and it performs substantially better than previous systems for either pitch extraction or voiced speech segregation.

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Metadata

Authors
Hu, G., & Wang, D.
Venue
IEEE Transactions on Audio, Speech, and Language Processing
Published
2010-11
Volume
18
Issue
8
Pages
2067-2079
ISSN
  • 1558-7916 (ISSN-L)
  • 1558-7924
OpenAlex
W2159202424
Cited by
288
References
29
FWCI
24.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Tandem Algorithm for Pitch Estimation and Voiced Speech Segregation. https://app.cochat.ai/papers/10.1109/tasl.2010.2041110
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Hu, G., & Wang, D. (2010). A Tandem Algorithm for Pitch Estimation and Voiced Speech Segregation. IEEE Transactions on Audio, Speech, and Language Processing. https://doi.org/10.1109/tasl.2010.2041110

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