Speech Signal Recovery Based on Source Separation and Noise Suppression

• 作者: Guoan Bi Haijian Zhang Zhe Wang
• 来源期刊: 电脑和通信(英文)
• 学科: 工学
• 关键词: SPEECH RECOVERY TIME-FREQUENCY Source SEPARATION Adaptive Noise SUPPRESSION Automatic SPEECH RECOGNITION
• 年，卷（期）: 2014,（9）
• 页码范围: 112-120
• 页数: 9页
• 分类号: TN91

摘要

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.