Change evaluation of Bayesian detector for dysfluent speech assessment
Applied Electronics（2011）
摘要
This paper is focused on a parameter which could be used for automatic and objective assessment of dysfluent speech. The measurement is based on the analysis of read audio recordings of stutterers. The designed parameter analyzes the signal in the spectral domain, which correlates with the subjective assessment of two phoniatrics experts with a coefficient of -0.789. A Bayesian change-point detector (BACD) has been used for spectral analysis. This parameter could become a part of an automatic and objective assessment system.
更多查看译文
关键词
audio recording,belief networks,correlation methods,speaker recognition,spectral analysis,speech processing,bayesian change point detector,automatic assessment,dysfluent speech assessment,objective assessment,parameter analysis,phoniatrics expert,read audio recording,spectral domain,hidden markov models,bayesian methods,hidden markov model,speech,correlation,databases,bayesian method,detectors
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要