Significance of the Modified Group Delay Feature in Speech Recognition

Spectral representation of speech is complete when both the Fourier transform magnitude and phase spectra are specified. In conventional speech recognition systems, features are generally derived from the short-time magnitude spectrum. Although the importance of Fourier transform phase in speech per...

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Veröffentlicht in:	IEEE transactions on audio, speech, and language processing speech, and language processing, 2007-01, Vol.15 (1), p.190-202
Hauptverfasser:	Hegde, R.M., Murthy, H.A., Gadde, V.R.R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Class separability Data mining Delay effects Exact sciences and technology Feature extraction feature selection Fourier transforms Gaussian mixture models (GMMs) Group delay group delay function hidden Markov models (HMMs) Information, signal and communications theory Mathematical analysis Mathematical models Miscellaneous Pattern recognition phase spectrum Phase transformations Resonance robustness Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Spectra Speech Speech coding Speech processing Speech recognition Telecommunications and information theory Voice recognition Wrapping
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