Measuring the Band Importance Function for Mandarin Chinese with an Bayesian Adaptive Procedure

被引：3

作者：

Du, Yufan ^{[1
,2
]}

Shen, Yi ^{[3
]}

Yang, Hongying ^{[1
,2
]}

Wu, Xihong ^{[1
,2
]}

Chen, Jing ^{[1
,2
]}

机构：

[1] Peking Univ, Dept Machine Intelligence, Speech & Hearing Res Ctr, Beijing, Peoples R China

[2] Peking Univ, Key Lab Machine Percept, Minist Educ, Beijing, Peoples R China

[3] Indiana Univ, Dept Speech & Hearing Sci, 200 S Jordan Ave, Bloomington, IN 47405 USA

来源：

19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES | 2018年

基金：

中国国家自然科学基金;

关键词：

speech intelligibility index; band importance function; Mandarin Chinese; the qBIF procedure; FREQUENCY-IMPORTANCE; INTELLIGIBILITY; SENTENCES; VOWELS;

D O I：

10.21437/Interspeech.2018-1825

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A speech intelligibility index (SII) based band importance function (BIF) for Mandarin monosyllabic words spoken by a female speaker was derived with an adaptive procedure in this work. The adaptive procedure, namely the quick-band importance-function (qBIF) procedure, optimized the stimulus on each trial according listeners' performance on proceeding trials in an iterative fashion. This method greatly improved the efficiency of data collection. Test-retest experiments were conducted and confirmed the reliability of this adaptive procedure at a group level. The BIF derived in this work showed generally consistence with the BIF derived with the traditional paradigm with noticeable differences at certain frequencies.

引用

页码：961 / 965

页数：5

共 18 条

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