Intelligibility of laryngectomees’ substitute speech: automatic speech recognition and subjective rating
Intelligibility of laryngectomees’ substitute speech: automatic speech recognition and subjective rating
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喉切除者替代语音的清晰度：自动语音识别和主观评分
DOI：
10.1007/s00405-005-0974-6
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
F. Rosanowski
中科院分区：
文献类型：
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作者：
M. Schuster;T. Haderlein;Elmar Nöth;J. Lohscheller;U. Eysholdt;F. Rosanowski
与喉部语音相比，喉切除后的代用语音具有受限的空气声学特性，因此清晰度较低。到目前为止，还没有一种客观的方法来确定和量化清晰度，尽管清晰度可以作为喉切除术后嗓音恢复的一个整体结果参数。将自动语音识别系统应用于18例德国男性喉切除术后气管食道替代语音的标准文本录音。该系统是用正常的喉音扬声器训练的，不适应严重干扰的声音。将代用语音与对照组的喉音语音进行比较。清晰度的主观评估由五位专家组成的小组进行，并与自动语音评估进行比较。代用语音的音节数/S比喉音低，词语准确率也低于喉音。自动语音识别替代语音的单词准确率在10.0%-50%(28.7±12.1%)之间，并有足够的识别率。它符合专家对清晰度的主观评价。专家的多评价者卡帕本身与专家和识别者的多评价者卡帕没有什么不同。自动语音识别是对象化和量化喉切除术的全局语音结果的一种很好的手段。对于临床应用，语音识别系统将适应干扰的语音，也可以应用于其他语言。
Substitute speech after laryngectomy is characterized by restricted aero-acoustic properties in comparison with laryngeal speech and has therefore lower intelligibility. Until now, an objective means to determine and quantify the intelligibility has not existed, although the intelligibility can serve as a global outcome parameter of voice restoration after laryngectomy. An automatic speech recognition system was applied on recordings of a standard text read by 18 German male laryngectomees with tracheoesophageal substitute speech. The system was trained with normal laryngeal speakers and not adapted to severely disturbed voices. Substitute speech was compared to laryngeal speech of a control group. Subjective evaluation of intelligibility was performed by a panel of five experts and compared to automatic speech evaluation. Substitute speech showed lower syllables/s and lower word accuracy than laryngeal speech. Automatic speech recognition for substitute speech yielded word accuracy between 10.0 and 50% (28.7±12.1%) with sufficient discrimination. It complied with experts’ subjective evaluations of intelligibility. The multi-rater kappa of the experts alone did not differ from the multi-rater kappa of experts and the recognizer. Automatic speech recognition serves as a good means to objectify and quantify global speech outcome of laryngectomees. For clinical use, the speech recognition system will be adapted to disturbed voices and can also be applied in other languages.