Modulation Spectral Features for Intrusive Measurement of Reverberant Speech Quality

被引:0
|
作者
Ma, Sai [1 ]
Zhang, Hui [1 ]
Xie, Lingyun [1 ]
Xie, Xi [1 ]
机构
[1] Commun Univ China, Beijing, Peoples R China
来源
关键词
Reverberation; Direct-to-Reverberant energy ratio; Modulation; Instantaneous Frequency; Mutual Information; INTELLIGIBILITY;
D O I
10.1007/978-981-13-8138-6_24
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Temporal fine structure includes temporal envelope and fine structure which also called carrier, and instantaneous frequency is the partial derivative of the carrier. An intrusive reverberant speech quality measurement is investigated with the representation of corresponding instantaneous frequency. A Gammatone filterbank is used to simulate auditory mechanism and a modulation filterbank is used to improve frequency resolution. The mean mutual information between reference and reverberant modulation spectral instantaneous frequency probability distribution is taken as the final measurement score. Experimental results show the proposed method outperforming two benchmark algorithms in some practical application conditions.
引用
收藏
页码:284 / 295
页数:12
相关论文
共 50 条
  • [1] A Non-Intrusive Quality and Intelligibility Measure of Reverberant and Dereverberated Speech
    Falk, Tiago H.
    Zheng, Chenxi
    Chan, Wai-Yip
    IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2010, 18 (07): : 1766 - 1774
  • [2] An Auditory Based Modulation Spectral Feature for Reverberant Speech Recognition
    Maganti, HariKrishna
    Matassoni, Marco
    11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 1-2, 2010, : 570 - 573
  • [3] Contribution of modulation spectral features for cross-lingual speech emotion recognition under noisy reverberant conditions
    Guo, Taiyang
    Li, Sixia
    Kidani, Shunsuke
    Okada, Shogo
    Unoki, Masashi
    2023 ASIA PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE, APSIPA ASC, 2023, : 2221 - 2227
  • [4] Intrusive speech transmission quality measurement in Chinese environment
    Holub, Jan
    Jianjun, Liu
    2007 6TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS & SIGNAL PROCESSING, VOLS 1-4, 2007, : 238 - 240
  • [5] Recognition of reverberant speech using full cepstral features and spectral missing data
    Palomaki, Kalle J.
    Brown, Guy J.
    Barker, Jon R.
    2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13, 2006, : 289 - 292
  • [6] IMPROVEMENTS TO NON-INTRUSIVE INTELLIGIBILITY PREDICTION FOR REVERBERANT SPEECH
    Nakazawa, Kazushi
    Kazuhiro, Kondo
    2021 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2021, : 608 - 613
  • [7] Contribution of Common Modulation Spectral Features to Vocal-Emotion Recognition of Noise-Vocoded Speech in Noisy Reverberant Environments
    Guo, Taiyang
    Zhu, Zhi
    Kidani, Shunsuke
    Unoki, Masashi
    APPLIED SCIENCES-BASEL, 2022, 12 (19):
  • [8] AMPLITUDE MODULATION SPECTROGRAM BASED FEATURES FOR ROBUST SPEECH RECOGNITION IN NOISY AND REVERBERANT ENVIRONMENTS
    Moritz, Niko
    Anemueller, Joern
    Kollmeier, Birger
    2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 5492 - 5495
  • [9] Intelligibility measurement of processed reverberant speech
    Cole, D
    Moody, M
    Sridharan, S
    ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2, 1996, : 89 - 92
  • [10] Comparison of Performance of the features of Speech signal for Non-intrusive Speech Quality Assessment
    Parmar, Nidhi
    Dubey, Rajesh Kumar
    2015 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC), 2015, : 243 - 248