A Study on Robust Speech Recognition System Using Characteristic Space Filtering and its Low-Power LSI Design

本文提出了一种新的抗噪声语音识别算法及其低功耗实时大规模集成电路系统。这些技术在实际环境中得到了应用，对移动的人机界面设计具有一定的参考价值。在算法开发方面，提出了通用鲁棒语音识别系统。该方法在信噪比大于0 dB的环境下，最佳识别率可达98%，平均识别率可达60%。在大规模集成电路设计方面，设计并实现了一种用于鲁棒自动语音识别（ASR）的超并行、超流水线处理大规模集成电路。大规模集成电路工艺为0.25微米，功耗比基于DSP的同类ASR系统降低1/5。除了这种设计之外，整个系统，即，还设计了包括该LSI的完整ASR系统板。它有麦克风输入输出，模拟放大器和数字ASR系统。在真实的环境中，可以获得高性能的鲁棒语音识别。

In this study, the new algorithm of noise robust speech recognition and its real-time LSI system with low po wer consumption have been developed. These techniques are used under actual environment and useful for mobile human interface. As to the algorithm development, general purpose robust speech recognition system has been proposed. Using this method, about 98% recognition correctness at best performance and 60% correctness at average performance can be obtained for unspecific male and female over 0 dB SNR environments.As to LSI design, super-parallel and super-pipeline processing LSI for robust automatic speech recognition (ASR) has been designed and realized. The technology of LSI is 0.25micron and its power consumption can be reduced 1/5 than DSP based same ASR system. In addition to this design, the total system, i.e., the full ASR system board including this LSI has also been designed. It has microphone IO, analog amplifier and digital ASR system. The high performance of robust speech recognition can be obtained in the real fields.