Multiple regression of log-spectra for in-car speech recognition
Multiple regression of log-spectra for in-car speech recognition
复制标题
车载语音识别对数谱的多元回归
DOI：
10.21437/icslp.2002-277
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
F. Itakura
中科院分区：
文献类型：
--
作者：
Tetsuya Shinde;K. Takeda;F. Itakura
本文提出了一种新的多通道带噪语音识别方法，该方法基于分布麦克风捕获的带噪信号的对数谱的多元回归（MRLS）来估计近距离麦克风处语音的对数谱。由于该方法不需要假设声源和麦克风的布置，因此可以直接应用于车内语音识别。实验评估表明，在各种驾驶条件下，孤立词识别精度的错误减少高达15%。
This paper describes a new multichannel method of noisy speech recognition, which estimates the log spectrum of speech at a close-talking microphone based on the multiple regression of the log spectra (MRLS) of noisy signals captured by the distributed microphones. Since the method does not assume the arrangement of sound sources and microphones, it can be applied to in-car speech recognition directly. The experimental evaluation shows an error reduction of up to 15% in isolated word recognition accuracy under various driving conditions.