7th International Conference on Spoken Language Processing
September 16-20, 2002
This paper reports an evaluation of European Telecommunications Standards Institute (ETSI) standard Distributed Speech Recognition (DSR) front-end through continuous word recognition on a Japanese speech corpus and proposes a method, the Bias Removal Method (BRM), that reduces the distortion between feature vector and VQ codebook. Experimental results show that using non-quantized features in acoustic model training procedure can improve the recognition performance of DSR front-end features and that the proposed method can improve recognition performances of DSR front-end feature.
Bibliographic reference. Tsuge, Satoru / Kuroiwa, Shingo / Shishibori, Masami / Ren, Fuji / Kita, Kenji (2002): "Robust feature extraction in a variety of input devices on the basis of ETSI standard DSR front-end", In ICSLP-2002, 2221-2224.