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J. Data and Text Mining, Natural Language Processing

机译:J.数据和文本挖掘,自然语言处理

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We compare the performance of the computerized speech recognition system to convert voice medical radiological reports into text with the conventional hand transcription. We used the "Dragon Naturally Speaking Preferred Spanish version number 10" program. Automatic Speech recognition decreased the transcription time and reduced substantially the transcription costs. Speech recognition by computer is practical in radiological reports implementation. In our study, we found that hand writing transcription of digitized files of short Spanish radiological reports has an error of 5% compared to the gold standard. This grows to 13% when using the automatic speech recognition system, only 8% difference. Automatic speech recognition programs are useful for text transcription of short radiological reports in Spanish. We cannot say the same for other languages or clinical applications and, in each case, it would be advisable to test its efficiency.
机译:我们比较了计算机语音识别系统的性能,该系统可将语音医学放射学报告转换为具有常规手抄本的文本。我们使用了“ Dragon Naturally Speaking Preferred Spanish version number 10”程序。自动语音识别减少了转录时间,并大大降低了转录成本。计算机的语音识别在放射报告的实施中是实用的。在我们的研究中,我们发现,手写简短西班牙放射学报告数字化文件的抄本与黄金标准相比有5%的误差。使用自动语音识别系统时,这一数字将增长到13%,相差仅8%。自动语音识别程序对于西班牙语简短放射学报告的文本转录非常有用。对于其他语言或临床应用,我们不能说相同的话,在每种情况下,建议测试其效率。

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