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Quantifying the value of subjective and objective speech intelligibility assessment in forensic applications

机译:量化主观和客观语音清晰度评估在司法鉴定中的价值

摘要

Transcription from lawful interception is an important branch of forensic phonetics. Signals in thatudapplication context are often degraded, thus the transcript may not reflect what was really pronounced. In order to decide whether a given transcript generated from a lawful interception exercise reflects the views of the speakers instead of the transcriber’s, an objective speech intelligibility measurement method is required.udUsually, the intercepted signal can be affected by both speech intrinsic distortion andudbackground/environmental noise distortion. Unfortunately, the original clean speech is never accessible to theudforensic expert, who therefore must draw his assessment from the only available, distorted, signal.udConsequently, the only way to assess the level of accuracy that can be obtained in the transcription of poor recordings is to develop an objective methodology for intelligibility measurements.udThis paper addresses the issue by using three different objective approaches - namely the Signal-to-Noise ratio weighted with the “A” curves (S/NA), the Articulation Index (AI) and the Speech Transmission Index (STI) - to evaluate the intelligibility of a given signal. All of the three approaches were exercised with different types of noise, yielding results to be compared with speech intelligibility scores from subjective tests. The outcome gives high correlation evidence between objective measurements and subjective evaluations. Therefore, the proposed methodology is deemed rather useful to establish whether a given intercepted signal can be transcribed with sufficient reliability.
机译:合法拦截的转录是法医学语音的重要分支。该 udapplication上下文中的信号通常会降低质量,因此该笔录可能无法反映真正的发音。为了确定合法监听练习生成的给定成绩单是否反映了说话者的观点而不是抄写员的观点,需要一种客观的语音清晰度测量方法。 ud通常,被拦截的信号会同时受到语音固有失真和 udbackground /环境噪声失真。不幸的是, ud法医专家永远无法获得原始的清晰语音,因此,他们必须从唯一可用的,失真的信号中进行评估。 ud,因此,这是评估在转录过程中可获得的准确性水平的唯一方法较差的记录是为了开发一种用于清晰度测量的客观方法。 ud本文通过使用三种不同的客观方法来解决该问题,即采用“ A”曲线(S / NA)加权的信噪比,清晰度指数( AI)和语音传输指数(STI)-评估给定信号的清晰度。三种方法均在不同类型的噪声下进行练习,其结果可与主观测试的语音清晰度得分进行比较。结果提供了客观测量与主观评估之间的高度相关性证据。因此,所提出的方法被认为对于确定是否可以足够的可靠性转录给定的截获信号非常有用。

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