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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Computerized content analysis of speech plus speech recognition in the measurement of neuropsychiatric dimensions.
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Computerized content analysis of speech plus speech recognition in the measurement of neuropsychiatric dimensions.

机译：语音和语音识别的计算机内容分析，用于神经精神病学维度的测量。

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摘要

The Psychiatric Content Analysis and Diagnosis (PCAD) program performs automated content analysis of machine-readable transcriptions of speech samples to measure the magnitude of neuropsychiatric states and traits. Technological advances provided by computerized speech recognition may offer a possible alternative to labor-intensive manual transcription for preparation of samples for PCAD processing. To test this hypothesis, 25 digitally recorded verbal samples were transcribed both manually and by a commercially available speech recognition software package, and the transcriptions scored by PCAD. The inter-correlations between scores derived from the two different methods of transcriptions offer mixed results, with values ranging from a high of 0.920 to a low of -0.119.
机译：精神病学内容分析和诊断（PCAD）程序对语音样本的机器可读转录进行自动内容分析，以测量神经精神病学状态和特征的强度。计算机化语音识别所提供的技术进步可能为劳动强度大的手动转录提供了可能的替代方法，以准备用于PCAD处理的样品。为了检验该假设，手动和通过市售语音识别软件包转录了25个数字记录的口头样本，并通过PCAD对转录进行评分。从两种不同的转录方法得出的分数之间的相互关系提供了混合的结果，其值的范围从高的0.920到低的-0.119。

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