Robust AM-FM features for speech recognition

In this letter, a nonlinear AM-FM speech model is used to extract robust features for speech recognition. The proposed features measure the amount of amplitude and frequency modulation that exists in speech resonances and attempt to model aspects of the speech acoustic information that the commonly...

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Veröffentlicht in:	IEEE signal processing letters 2005-09, Vol.12 (9), p.621-624
Hauptverfasser:	Dimitriadis, D., Maragos, P., Potamianos, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic measurements Acoustic noise AM-FM ASR Cepstrum Data mining Feature extraction features Frequency measurement Frequency modulation Noise robustness nonlinear Resonance speech Speech recognition
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