1) pathological voice
病态嗓音
1.
Research of extracting pathological voice s characteristics based on HHT And recognition;
基于HHT变换的病态嗓音特征提取及识别研究
2.
The Research of Extracting of Pathological Voice s Characteristics and Recognition Based on Wavelet Transformation and Gaussian Mixture Model;
基于小波变换和GMM的病态嗓音特征提取及识别研究
3.
The Research of Extracting Pathological Voice s Characteristics Based on HHT and Recognition;
基于HHT变换的病态嗓音特征提取及识别研究
2) Voice disorders
嗓音病
1.
63 teachers with voice disorders and 24 healthy teachers were included in this study.
本文的目的在于揭示不正确的呼吸方法是造成发音异常的一个重要原因，６３名有嗓音病的教师和２４名健康教师参加了此项研究。
3) laryngeal pronunciation disorder
嗓音病
1.
Study on the effect of quantified management of health education on the compliance and treatment efficacy in patients with laryngeal pronunciation disorder;
健康教育量化管理对嗓音病患者遵医行为及疗效的影响
2.
Objective To explore the correlation of complying behavior and therapeutic duration in patients with laryngeal pronunciation disorder.
目的探讨嗓音病患者遵医行为与疾病恢复时间的相关性。
4) voice disorders
嗓音疾病
1.
The voice disorders of teachers are very common .
目的:嗓音疾病是一种常见的多发病,主要为发声器官长期过度负荷引起的以发声紊乱为主的病变,有文献报道,嗓音异常在普通人群发生率为6。
5) voice diseases
嗓音疾病
1.
Objective:To research the significance of videokymography for vocal fold vibration in diagnosis of voice diseases.
目的:研究记波扫描声带振动图在嗓音疾病诊断中的意义。
6) dysphonia recognition
病态嗓声识别
1.
In order to improve the performance of dysphonia recognition,27 common used original acoustic feature parameters were optimized and analyzed by using the method of primary components analysis(PCA).
为提高病态嗓声识别效率,本研究首次采用主分量分析方法对目前常用的27个嗓声特征参数进行了优化分析,考察了仅用少数主分量参数的识别效果及其分量数对结果的影响;同时根据参数对病态嗓声信息敏感程度,使用正交试验法优选出9个较优特征参数,其识别率即可达到原27个参数的识别结果。
补充资料：嗓音
1.说话或歌唱的声音。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条