Sixth International Conference on Spoken Language Processing
This paper describes a robust speech detection algorithm for speech-activated hands-free applications. The system consists of three techniques: (1) noise suppression with efficient implementation, (2) robust endpoint detection and (3) speech verification using garbage modeling and confidence measure. With efficient implementation, noise suppression improves the SNR by roughly 10-20 dB. The endpoint detection uses the technique described in  with improvement for non-stationary noise. Garbage modeling and confidence measure are used to handle out-of-vocabulary (OOV) words and background pulse noise.
Bibliographic reference. Wu, Duanpei / Menendez-Pidal, X. / Olorenshaw, L. / Chen, R. / Tanaka, M. / Amador, M. (2000): "Speech and word detection algorithms for hands-free applications", In ICSLP-2000, vol.4, 398-401.