An Efficient Block-based Dynamic Range Adjustment Method in Noise-robust Continuous Speech Recognition

摘要：

This paper proposes a new technique for speech feature estimation under noise circumstances. This new approach yields noise-robust continuous speech recognition (CSR). Noiserobust techniques for isolated word speech recognition typically employ the running spectrum analysis (RSA), the running spectrum filtering (RSF) and the dynamic range adjustment (DRA) methods. Among them, only RSA has been applied into a CSR system. However, we propose an enhanced DRA for a noise-robust CSR system. Thus, in the speech recognition stage, the continuous speech waveform is automatically divided into short blocks and DRA is applied to these blocks. We find that the proposed method improves recognition performance under several different noise and SNR conditions.

作者: Yiming SUN Constantin SIRITEANU Yoshikazu MIYANAGA

作者单位: Information and Communication Network Laboratory Hokkaido University, Sapporo, 060-0814, Japan

会议类型: 国际会议

会议名称: 2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)

会议地点: 西安

会议语种:英文

页码: 1-4

在线出版日期: 2011-10-18（万方平台首次上网日期，不代表论文的发表时间）