IFAS-based voiced/unvoiced classification of speech signal

Dhany Arifianto*, Takao Kobayashi

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

12 Citations (Scopus)


This paper describes the application of the notion of instantaneous frequency amplitude spectrum (IFAS) to discriminate voiced and unvoiced segment of speech signal. The classification procedures of speech signal into voiced and unvoiced is determined by using harmonicity measure acquired after evaluating instantaneous frequency amplitude spectrum. Several voicing decisions based on harmonicity measure are described to provide possible modifications including post-processing stage to improve the classifier accuracy. The performance of the proposed method is also compared against ESPS and AMDF to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)812-815
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Publication statusPublished - 2003
Externally publishedYes
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: 6 Apr 200310 Apr 2003


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