5th European Conference on Speech Communication and Technology

Rhodes, Greece
September 22-25, 1997

Comparative Evaluations of Several Front-Ends for Robust Speech Recognition

Doh-Suk Kim (1), Jae-Hoon Jeong(1) , Soo-Young Lee(1), Rhee M. Kil (2)

(1) Department of Electrical Engineering; (2) Division of Basic Science; Korea Advanced Institute of Science and Technology, Kusong-dong, Yusong-gu, Taejon, Korea

Zero-crossings with peak amplitudes (ZCPA) model motivated by human auditory periphery is simple com- pared with other auditory models, but powerful speech analysis tool for robust speech recognition in noisy environments. In this paper, improvement in recog- nition rate of ZCPA model is addressed by incorpo- rating time-derivative features with several different time-derivative window lengths. Experimental results show that ZCPA has relatively higher sensitivity to derivative window length than conventional feature extraction algorithms. Also, experimental compar- isons with several front-ends including some auditory- like schemes in real-world noisy environments demon- strate the robustness of ZCPA model. ZCPA model shows superior performance compared with other front- ends especially in noisy condition corrupted by white Gaussian noise.

Full Paper

Bibliographic reference.  Kim, Doh-Suk / , Jae-Hoon Jeong(1) / Le, Soo-Young / Kil, Rhee M. (1997): "Comparative evaluations of several front-ends for robust speech recognition", In EUROSPEECH-1997, 1135-1138.