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首页> 外文会议>Proceedings of the speech recognition workshop >TRANSCRIPTION OF BROADCAST TELEVISION AND RADIO NEWS: THE 1996 ABBOT SYSTEM
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TRANSCRIPTION OF BROADCAST TELEVISION AND RADIO NEWS: THE 1996 ABBOT SYSTEM

机译：广播电视和广播新闻的笔录：1996年的ABBOT系统

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摘要

Abbot is a hybrid connectionist-HMM large vocabulary continuous speech recognition system developed at the Cambridge University Engineering Department. This uses a recurrent neural network acoustic model to map acoustic features into posterior phone probabilities. These posterior probabilities are then converted to scaled likelihoods and used as observation likelihoods for phone HMMs [1, 2]. This paper describes the development of the CU-CON system which participated in the 1996 ARPA Hub 4 Evaluations. The system is based on Abbot. The Hub 4 Evaluation task involves the transcription of broadcast television and radio news programmes. This is an extremely demanding task for state-of-the-art speech recognition systems. Typical programmes include a wide variety of speaking styles and acoustic conditions. These range from read speech recorded in the studio to extemporaneous speech recorded over telephone channels. Results are presented for the system at various stages of development, as well as for the final evaluation system.
机译：Abbot是剑桥大学工程系开发的一种混合连接器-HMM大词汇量连续语音识别系统。这使用循环神经网络声学模型将声学特征映射到后部电话概率中。然后，将这些后验概率转换为比例似然，并用作电话HMM的观察似然[1、2]。本文介绍了参与1996年ARPA Hub 4评估的CU-CON系统的开发。该系统基于Abbot。中心4评估任务涉及广播电视和广播新闻节目的转录。对于最先进的语音识别系统来说，这是一项极为苛刻的任务。典型的节目包括各种各样的说话风格和声学条件。这些范围包括从录音室录制的朗读语音到通过电话通道录制的临时语音。在系统的各个开发阶段以及最终评估系统中都会给出结果。

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