Line spectral frequency representation of subbands for speech recognition

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Line spectral frequency representation of subbands for speech recognition.pdf (247.9 KB)

Date

1995

Authors

Erzin, E.
Çetin, A.E.

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Abstract

In this paper, a new set of speech feature parameters is constructed from subband analysis based Line Spectral Frequencies (LSFs). The speech signal is divided into several subbands and the resulting subsignals are represented by LSFs. The performance of the new speech feature parameters, SUBLSFs, is compared with the widely used Mel Scale Cepstral Coefficients (MELCEPs). SUBLSFs are observed to be more robust than the MELCEPs in the presence of car noise. © 1995.

Source Title

Signal Processing

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Keywords

Line spectral frequency, Speech recognition, Feature extraction, Parameter estimation, Robustness (control systems), Signal processing, Spectrum analysis, Spurious signal noise, Line spectral frequencies (LSF), Subband analysis, Speech recognition

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http://hdl.handle.net/11693/25907

Published Version (Please cite this version)

http://dx.doi.org/10.1016/0165-1684(95)00038-F

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Scholarly Publications - Electrical and Electronics Engineering

Language

English

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Article