Title :
Model adaptation in line spectrum domain
Author :
Yu, An-Tze ; Wang, Hsiao-Chuan
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
Line spectrum frequency (LSF) is an efficient and reliable representation for speech signals. This property makes LSFs popular in low bit-rate speech coding. However, the use of LSF parameters in speech recognition still faces the problem of performance degradation in a noisy environment. This paper investigates the noise effect in the line spectrum domain and presents a model adaptation method for the improvement of noisy speech recognition. It comes out an interpolation mechanism in the line spectrum domain so that clean speech models can be adjusted according to the LSF of the noise signal. An experiment on Mandarin digit recognition has demonstrated the effectiveness and robustness of our proposed method
Keywords :
acoustic noise; interpolation; spectral analysis; speech coding; speech recognition; Mandarin digit recognition; interpolation mechanism; line spectrum domain; line spectrum frequency; low bit-rate speech coding; model adaptation; noisy environment; noisy speech recognition; performance degradation; representation; speech signals; Adaptation model; Degradation; Filters; Frequency; Interpolation; Noise robustness; Speech coding; Speech enhancement; Speech recognition; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861960
