Title :
Towards speech rate independence in large vocabulary continuous speech recognition
Author :
Martínez, F. ; Tapias, D. ; Álvarez, J.
Author_Institution :
Speech Technol. Group, Telefonica Investigacion y Desarrollo, Madrid, Spain
Abstract :
We present a new speech rate classifier (SRC) which is directly based on the dynamic coefficients of the feature vectors and it is suitable to be used in real time. We also report the study that has been carried out to determine what parameters of speech are the best regarding the speech rate classification problem. In this study we analyse the correlation between several speech parameters and the average speech rate of the utterance. Finally, we report a compensation technique, which is used together with the SRC. This technique provides with a word error rate (WER) reduction of a 64.1% for slow speech rate and a 32% reduction of the average WER
Keywords :
correlation methods; feature extraction; parameter estimation; pattern classification; speech recognition; average WER reduction; average speech rate; compensation technique; correlation; dynamic coefficients; feature vectors; large vocabulary continuous speech recognition; real time speech rate classifier; slow speech rate; speech parameters; speech rate classification; speech rate independence; word error rate reduction; Databases; Degradation; Energy measurement; Multilayer perceptrons; Signal processing; Speech analysis; Speech processing; Speech recognition; Testing; Vocabulary;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.675367
