Title :
Spectral subtraction for reverberation reduction applied to automatic speech recognition
Author :
Pacheco, Fernando S. ; Seara, Rui
Author_Institution :
Fed. Univ. of Santa Catarina, Florianopolis
Abstract :
In real conditions, reverberation severely compromises the accuracy of automatic speech recognition (ASR) systems. The use and the assessment of spectral subtraction for reducing the reverberation effect in ASR systems is discussed. For such, a general procedure is presented. The influence of some important dereverberation parameters, such as the reverberation time, on the recognition rate is evaluated. By using the referred approach, the speech recognition rate is considerably improved.
Keywords :
spectral analysis; speech recognition; automatic speech recognition; reverberation reduction; spectral subtraction; Acoustic distortion; Automatic speech recognition; Degradation; Laboratories; Microphones; Mobile handsets; Reverberation; Speech enhancement; Speech recognition; Working environment noise; Spectral subtraction; speech dereverberation; speech recognition;
Conference_Titel :
Telecommunications Symposium, 2006 International
Conference_Location :
Fortaleza, Ceara
Print_ISBN :
978-85-89748-04-9
Electronic_ISBN :
978-85-89748-04-9
DOI :
10.1109/ITS.2006.4433380
