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机构地区:[1]哈尔滨工业大学计算机科学与工程系,哈尔滨150001 [2]中国科学院计算技术研究所,北京100080
出 处:《计算机学报》1998年第12期1125-1130,共6页Chinese Journal of Computers
基 金:国家863高科技基金;国家教委跨世纪优秀人才计划的资助
摘 要:本文提出一种基于MFCCs滤波的通道补偿方法RMFCC.它具有性能良好和运算简单的优点,在不失精度的前题下减少了计算代价.RMFCC的性能也优于CMS和二级CMS.通过讨论发现许多抑制通道噪声的方法从本质上说都是采用滤波的方法,我们也证实了抑制非常低的调制频率是进行顽健的电话语音识别的有效途径.One of main tasks in robust telephone speech recognition is to overcome the channel noise. RASTA-PLP technique is an effective channel compensation method and has been widely discussed. In this paper,a new MFCCs channel compensation method is proposed, which has a functionality in both good performance and simple computation. At first,it uses Mel spectral analysis instead of PLP spectral analysis to reduce the computation. Based on the linear relationship between Mel-frequency log spectrum and MFCCs,it then extend RASTA processing from Mel-frequency log spectrum to MFCCs,and a RASTA-like band-pass filter is proposed for robut telephone speech recognition. Next, this paper selects the pole parameter of the filter by experiments and discusses the selection of the initial value.Comparing with RASTA-PLP processing, the proposed RMFCC method reduces the computational complexity without losing performance, and it is also better than CMS and two level CMS on the performance. After discussion, it is found that many channel compensation methods are based on the filtering processing ,and it is verified that it is an effective way to suppress very low modulation frequencies for bust telephone speech recognition.
关 键 词:语音识别 MFCCs滤波 电话语音识别 通道补偿
分 类 号:TN912.34[电子电信—通信与信息系统] TN916.1[电子电信—信息与通信工程]
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