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Performance of speech recognition devices: evaluating speech produced over the telephone network

机译:语音识别设备的性能:评估通过电话网络产生的语音

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A performance evaluation facility has been designed to facilitate rapid evaluation of representative speech databases on multiple ASR (automatic speech recognition) devices. The results of an evaluation session are collected and processed automatically. The performance of four ASR devices is reported: three isolated-word and one continuous-speech. Recognition accuracy per string has been tabulated, and patterns of insertion, deletion, and substitution errors are presented. On the word level, the continuous-digit recognizer performed better on continuous-digit strings than the isolated-word recognizers on the isolated-digit strings. ASR performance on the VOIS (voice-operated intercept services) database was considerably worse than performance on the TI digits. Using the VOIS database, the best performance achieved by an isolated-word device was 75.9% word accuracy. The continuous speech ASR achieved 80.7% word accuracy and 35.2% string accuracy. The lower accuracy rates on VOIS reflect the realistic conditions under which the digits were obtained. This argues for assessing ASR devices under actual applications conditions.
机译:设计了一种性能评估工具,以促进在多个ASR(自动语音识别)设备上对代表性语音数据库进行快速评估。评估会话的结果将自动收集和处理。报告了四种ASR设备的性能:三个隔离词和一个连续语音。已列出每个字符串的识别精度,并显示了插入,删除和替换错误的模式。在单词级别上,连续数字识别器在连续数字字符串上的性能要优于在孤立数字字符串上的孤立词识别器。 VOIS(语音拦截服务)数据库上的ASR性能要比TI数字上的性能差很多。使用VOIS数据库,隔离字设备获得的最佳性能为75.9%的字准确度。连续语音ASR达到80.7%的单词准确度和35.2%的字符串准确度。 VOIS上较低的准确率反映了获得数字的现实条件。这为评估实际应用条件下的ASR设备提供了依据。

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