Evaluation of Objective Intelligibility Prediction Measures for Speech Enhancement in Mandarin
In this paper, we evaluate the performance of several state-of-the-art objective measures in terms of predicting speech intelligibility in Mandarin of the processed noisy signals by speech enhancement algorithms. The speech signals were first corrupted by three types of noises at two signal-to-noise ratios, followed by four classes of speech enhancement algorithms. The objective intelligibility prediction measures were then performed. The subjective intelligibility ratings were obtained by performing a comprehensive investigation of the unprocessed noisy signals and the processed signals by various single-channel noise reduction algorithms through listening tests. Based on the subjective intelligibility scores, in this paper, we focus on examining the capability of objective intelligibility prediction measures using the correlation analysis and the standard deviation of error. The analysis results reported in this paper do provide valuable hints for analyzing and optimizing noise-reduction algorithms.
Junfeng Li Dongwen Ying Yonghong Yan Masato Akagi
Institute of Acoustics, Chinese Academy of Sciences School of Information Science, Japan Advanced Institute of Science and Technology
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-4
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）