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首页> 外文会议>European Conference on Speech Communication and Technology v.3; 20010903-20010907; Aalborg; DK >Speech Recognition at Multiple Sampling Rates
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Speech Recognition at Multiple Sampling Rates

机译：多种采样率的语音识别

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摘要

A feature extraction scheme is presented that analyzes speech signals sampled at different sampling rates. This will be needed in the future because of terminals in the telecom network that will transmit speech information also in the frequency region above 4 kHz. A cepstral analysis scheme is applied in the frequency range up to 4 kHz to create a common set of acoustic parameters for all sampling rates. Additional parameters are determined describing the subband energy in the frequency region above 4 kHz. As the major advantage of this feature extraction no individual recognizer has to be trained for each sampling frequency. It is shown with a recognition experiment that terminals and recognition systems can be combined without a remarkable loss in recognition performance with the terminal operating at a different sampling frequency than the recognizer has been trained on.
机译：提出了一种特征提取方案，可以分析以不同采样率采样的语音信号。由于电信网络中的终端也将在高于4 kHz的频率范围内发送语音信息，因此将来需要这样做。在最高4 kHz的频率范围内应用了倒谱分析方案，以为所有采样率创建一组通用的声学参数。确定附加参数，以描述高于4 kHz的频率区域中的子带能量。作为此特征提取的主要优势，无需为每个采样频率训练单个识别器。通过识别实验表明，终端和识别系统可以组合在一起，而不会以明显不同于识别器训练的采样频率运行终端，从而不会显着降低识别性能。

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