Automatic Evaluation of Tracheoesophageal Substitute Voice: Sustained Vowel versus Standard Text
Automatic Evaluation of Tracheoesophageal Substitute Voice: Sustained Vowel versus Standard Text
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气管食管替代语音的自动评估：持续元音与标准文本
DOI：
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发表时间：
2009
影响因子：
1
通讯作者：
T. Haderlein
中科院分区：
文献类型：
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作者：
T. Bocklet;H. Toy;Elmar Nöth;M. Schuster;U. Eysholdt;F. Rosanowski;F. Gottwald;T. Haderlein
目的：将德语国家使用的语音质量分析程序“嘶哑图”与带有韵律分析模块的自动语音识别系统进行了比较。后者计算韵律特征的基础上的文本记录。我们研究了持续元音的语音分析和文本分析是否与气管食管扬声器相关。患者和方法：受试者为24例气管食管替代语音的男性喉切除者，年龄60.6 ± 8.9岁。每个人都读了德文版的《北风与太阳》。此外，从每名患者中记录了5个持续元音。两个程序检测到的基频（F）进行了比较，所有元音。计算由声嘶图获得的测量值与韵律模块的特征之间的相关性。结果：两种程序在确定高度病理性嗓音的F值时都存在问题。由元音的嘶哑度图计算的参数如抖动、闪烁、F值和不规则性与从文本记录获得的韵律特征的相关性约为-0.8。结论：语音特性可以可靠地评估的基础上，元音和文本记录。然而，文本分析也提供了自动评估连续语音的可能性，因为它真实地代表了日常语音。
Objective: The Hoarseness Diagram, a program for voice quality analysis used in German-speaking countries, was compared with an automatic speech recognition system with a module for prosodic analysis. The latter computed prosodic features on the basis of a text recording. We examined whether voice analysis of sustained vowels and text analysis correlate in tracheoesophageal speakers. Patients and Methods: Test speakers were 24 male laryngectomees with tracheoesophageal substitute speech, age 60.6 ± 8.9 years. Each person read the German version of the text ‘The North Wind and the Sun’. Additionally, five sustained vowels were recorded from each patient. The fundamental frequency (F₀) detected by both programs was compared for all vowels. The correlation between the measures obtained by the Hoarseness Diagram and the features from the prosody module was computed. Results: Both programs have problems in determining the F₀ of highly pathologic voices. Parameters like jitter, shimmer, F₀, and irregularity as computed by the Hoarseness Diagram from vowels show correlations of about –0.8 with prosodic features obtained from the text recordings. Conclusion: Voice properties can reliably be evaluated both on the basis of vowel and text recordings. Text analysis, however, also offers possibilities for the automatic evaluation of running speech since it realistically represents everyday speech.