本文首先给出了一种适合于在嵌入式平台上实现的可变命令集的非特定人语音识别系统,同传统的基于PC的非特定人语音识别系统相比,该系统具备内存消耗小,运算速度快的优点。然后给出了该语音识别系统在多种嵌入式平台上的实现和评估结果,论证了非特定人语音识别系统在嵌入式平台上实现的可行性及其对硬件的最低配置要求,在技术层次上分析了目前实现高性能语音识别SOC的主要问题和困难,并指出了今后相关的研究方向。

Proposed in this paper is a novel speaker-independent speech recognition system , which is command-variable and suitable for realization based on embedded platform. Compared with traditional speaker-independent speech recognition system based on PC , our system is featured small storage and computation cost. The system is evaluated on several embedded platforms that are specially designed. According to the result of the evaluation , the feasibility of speaker-independent speech recognition system based on embedded platform is proved and the least requirement for the hardware is given. Then we analyzed the main problems and difficulties in the development of high performance speech recognition SOC (System On a Chip) from the point of technology , and pointed out some future works.