Parallel Architectures of Speech Recognition - II

高级语音识别领域的研究仍在继续 算法、架构和实验。 算法目前 正在测试的包括一个基于耳朵模型的语音滤波器组 识别分析，一个动态规划的解决方案，连接 语音识别和连续数字DILEX方法 识别. 正在研究新的算法， 系统技术和/或隐马尔可夫模型或马尔可夫随机场。 最后，提出了一个大词汇量离散话语的训练范例 识别（成千上万的话语）正在使用一些 这些相同的想法。 最大的真实的硬件项目，阿姆斯特朗， 分布式多处理器，是在其非常早期的建设阶段， 由大约100个基于M68010的处理器组成的独特网络。 该计划的另一个阶段涉及开发一个 硬件/软件工具设计成一个高品质的智能测试 用于语音识别系统的仪器。

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.