在神经精神维度测量中语音的计算机化内容分析与语音识别

Computerized content analysis of speech plus speech recognition in the measurement of neuropsychiatric dimensions.

作者信息

Gottschalk Louis A, Bechtel Robert J

机构信息

Department of Psychiatry and Human Behavior, College of Medicine, University of California, Irvine, CA 92697, USA.

出版信息

Comput Methods Programs Biomed. 2005 Jan;77(1):81-6. doi: 10.1016/j.cmpb.2004.08.002.

DOI:10.1016/j.cmpb.2004.08.002

PMID:15639712

Abstract

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.

摘要

精神科内容分析与诊断（PCAD）程序对语音样本的机器可读转录本进行自动内容分析，以测量神经精神状态和特征的程度。计算机语音识别技术的进步可能为PCAD处理样本准备工作中劳动强度大的手动转录提供一种可能的替代方法。为了验证这一假设，对25个数字录制的语音样本进行了手动转录和使用市售语音识别软件包进行转录，并由PCAD对转录本进行评分。两种不同转录方法得出的分数之间的相互相关性结果不一，值范围从高0.920到低-0.119。