TITLE:
Speech Signal Recovery Based on Source Separation and Noise Suppression
AUTHORS:
Zhe Wang, Haijian Zhang, Guoan Bi
KEYWORDS:
Speech Recovery, Time-Frequency Source Separation, Adaptive Noise Suppression, Automatic Speech Recognition
JOURNAL NAME:
Journal of Computer and Communications,
Vol.2 No.9,
July
11,
2014
ABSTRACT: In this paper, a speech signal recovery
algorithm is presented for a personalized voice command automatic recognition
system in vehicle and restaurant environments. This novel algorithm is able to separate
a mixed speech source from multiple speakers, detect presence/absence of
speakers by tracking the higher magnitude portion of speech power spectrum and
adaptively suppress noises. An automatic speech recognition (ASR) process to
deal with the multi-speaker task is designed and implemented. Evaluation tests
have been carried out by using the speech da- tabase NOIZEUS and the
experimental results show that the proposed algorithm achieves impressive
performance improvements.