Parallel Architectures of Speech Recognition - II

在高级语音识别算法、架构和实验领域的研究仍在继续。目前正在测试的算法包括用于语音识别分析的基于耳模型的滤波器组，用于连接语音识别的动态规划解决方案，以及用于连续数字识别的DILEX方法。新的算法正在研究应用专家系统技术和/或隐马尔可夫模型或马尔可夫随机场。最后，使用一些相同的想法，正在开发一个用于大词汇离散话语识别（数千个话语）的训练范例。最大的实际硬件项目Armstrong是一个分布式多处理器，它还处于构建的早期阶段，由大约100个基于m68010的处理器组成一个独特的网络。该计划的另一个阶段涉及硬件/软件工具的开发，旨在成为语音识别系统的高质量智能测试仪器。

Research continues in the area of advanced speech recognition algorithms, architectures, and experimentation. Algorithms currently being tested include an ear-model-based filterbank for speech recognition analysis, a dynamic programming solution for connected speech recognition, and a DILEX approach for continuous digit recognition. New algorithms are being investigated which apply expert system technology and/or hidden Markov models or Markov random fields. Finally, a training paradigm for large-vocabulary discrete utterances recognition (thousands of utterances) is being developed using some of these same ideas. The largest real hardware project, Armstrong, a distributed multiprocessor, is in its very early stages of construction and consists of a unique network of some 100 M68010-based processors. Another phase of the program relates to the development of a hardware/software tool designed to be a high-quality intelligent test instrument for speech recognition systems.