TR-IT-0286 :1998.12

グルーンライナー,シンガーハラルド

Scalar Quantization of Cepstral Parameters for Low Bandwidth Client-Server Speech Recognition Systems

Abstract:We describe a simple but highly efficient approach to solve the bandwidth problem for a client- server architecture speech recognition system. Data transmission from client to server follows an approach proposed by SRI, i.e. scalar quantization of cepstral parameters is used for compression. Recognition results on ATR's Travel Arrangement task show that recognition error only increases by about 0.5 % at a bandwidth of less than 6 Kb/s. This report is accessible for ITL members via /home/singer/tex/TR-IT-Compress/.