A comparison of signal processing front ends for automatic word recognition

This paper compares the word error rate of a speech recognizer using several signal processing front ends based on auditory properties. Front ends were compared with a control mel filter bank (MFB) based cepstral front end in clean speech and with speech degraded by noise and spectral variability, u...

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Veröffentlicht in:	IEEE transactions on speech and audio processing 1995-07, Vol.3 (4), p.286-293
Hauptverfasser:	Jankowski, C.R., Vo, H.-D.H., Lippmann, R.P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic control Automatic speech recognition Degradation Error analysis Filter bank Linear predictive coding Signal processing Speech enhancement Speech processing Speech recognition
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