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Modulation Frequency Features For Phoneme Recognition In Noisy Speech
Type of publication: Idiap-RR
Citation: Ganapathy_Idiap-RR-70-2008
Number: Idiap-RR-70-2008
Year: 2008
Month: 10
Institution: Idiap
Abstract: In this paper, a new feature extraction technique based on modulation spectrum derived from syllable-length segments of sub-band temporal envelopes is proposed. These sub-band envelopes are derived from auto-regressive modelling of Hilbert envelopes of the signal in critical bands, processed by both a static (logarithmic) and a dynamic (adaptive loops) compression. These features are then used for machine recognition of phonemes in telephone speech. Without degrading the performance in clean conditions, the proposed features show significant improvements compared to other state-of-the-art speech analysis techniques. In addition to the overall phoneme recognition rates, the performance with broad phonetic classes is reported.
Projects Idiap
Authors Ganapathy, Sriram
Thomas, Samuel
Hermansky, Hynek
Crossref by Ganapathy_JASA-EL_2008
Added by: [ADM]
Total mark: 0
  • Ganapathy_Idiap-RR-70-2008.pdf (MD5: 52a8fadf1d34303034aac735b813ac68)