Improving automatic phoneme alignment under noisy conditions by incorporating spectral voicing information

Peter Jancovic, M Kokuer

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

An incorporation of spectral voicing information of speech signal for improving the accuracy of automatic phoneme alignment under noisy conditions is presented. Experiments are conducted on the TIMIT speech corpus corrupted by an additive noise at various signal-to-noise ratios. Significant performance improvements are reported.
Original languageEnglish
Pages (from-to)761-762
Number of pages2
JournalElectronics Letters
Volume45
Issue number14
DOIs
Publication statusPublished - 1 Jul 2009

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