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BELL LABS CONNECTED DIGIT DATABASES FOR TELEPHONE SPEECH RECOGNITION

机译:BELL LABS连接的数字数据库,用于电话语音识别

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This paper describes Bell Labs Connected Digits databases (BLCD), which were collected over the landline telephone networks. The BLCD databases were designed to provide a standard benchmark for evaluating the performances of different connected digit recognition systems. It is also a vehicle for research and diagnosis of specific problems in automatic connected digit recognition. We first describe the content and the organization of the BLCD databases, and then present an automatic database verification procedure utilizing automatic speech recognition (ASR). For reference, we present automatic speech recognition performance on a set of the databases using the Bell Labs ASR system. For the databases with good recording conditions, the word-error rates can be less than 1%. In order to promote speech science and technology for real world applications, we make this database available fo.r the speech community.
机译:本文介绍了通过固定电话网络收集的贝尔实验室连接数字数据库(BLCD)。 BLCD数据库旨在为评估不同连接的数字识别系统的性能提供标准基准。它也是研究和诊断自动连接数字识别中特定问题的工具。我们首先描述BLCD数据库的内容和组织,然后介绍利用自动语音识别(ASR)的自动数据库验证程序。作为参考,我们介绍了使用Bell Labs ASR系统在一组数据库上的自动语音识别性能。对于具有良好记录条件的数据库,字错误率可以小于1%。为了促进语音科学和技术在现实世界中的应用,我们使该数据库可用于语音社区。

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