In-ear microphone speech quality enhancement via adaptive filtering and artificial bandwidth extension

被引:21
|
作者
Bouserhal, Rachel E. [1 ]
Falk, Tiago H. [2 ]
Voix, Jeremie [1 ]
机构
[1] Ecole Technol Super, Dept Mech Engn, Montreal, PQ H3C 1K3, Canada
[2] Inst Natl Rech Scientif, Ctr Energie, Mat, Telecommun, Montreal, PQ H5A 1K6, Canada
来源
基金
加拿大自然科学与工程研究理事会;
关键词
NOISE;
D O I
10.1121/1.4976051
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Bone and tissue conducted speech has been used in noisy environments to provide a relatively high signal-to-noise ratio signal. However, the limited bandwidth of bone and tissue conducted speech degrades the quality of the speech signal. Moreover in very noisy conditions, bandwidth extension of the bone and tissue conducted speech becomes problematic. In this paper, speech generated from bone and tissue conduction captured using an in-ear microphone is enhanced using adaptive filtering and a non-linear bandwidth extension method. Objective and subjective tests are used to evaluate the performance of the proposed techniques. Both evaluations show a statistically significant quality enhancement of the noisy in-ear microphone speech with rho < 0.0001 after denoising and rho < 0.01 after bandwidth extension. (C) 2017 Acoustical Society of America.
引用
收藏
页码:1321 / 1331
页数:11
相关论文
共 50 条
  • [1] Speech Quality Enhancement for In-Ear Microphone Based on Neural Network
    Park, Hochong
    Shin, Yong-Shik
    Shin, Seong-Hyeon
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2019, E102D (08) : 1594 - 1597
  • [2] In-ear microphone speech data recognition using HMMs
    Kurcan, R. S.
    Fargues, M. P.
    Vaidyanathan, R.
    2006 IEEE 12TH DIGITAL SIGNAL PROCESSING WORKSHOP & 4TH IEEE SIGNAL PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2, 2006, : 268 - 272
  • [3] ON SPEECH QUALITY ASSESSMENT OF ARTIFICIAL BANDWIDTH EXTENSION
    Bauer, Patrick
    Guillaume, Cyril
    Tirry, Wouter
    Fingscheidt, Tim
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [4] Speech Quality Prediction for Artificial Bandwidth Extension Algorithms
    Moeller, Sebastian
    Kelaidi, Emilia
    Koester, Friedemann
    Cote, Nicolas
    Bauer, Patrick
    Fingscheidt, Tim
    Schlien, Thomas
    Pulakka, Hannu
    Alku, Paavo
    14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5, 2013, : 3406 - 3410
  • [5] A DNN REGRESSION APPROACH TO SPEECH ENHANCEMENT BY ARTIFICIAL BANDWIDTH EXTENSION
    Abel, Johannes
    Fingscheidt, Tim
    2017 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS (WASPAA), 2017, : 219 - 223
  • [6] Word Boundary Detection for Gujarati Speech Recognition using In-ear Microphone
    Vijayendra, Desai A.
    Thakar, Vishvjit K.
    2016 1ST INDIA INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING (IICIP), 2016,
  • [7] In-ear microphone speech data segmentation and recognition using neural networks
    Bulbuller, G.
    Fargues, M. P.
    Vaidyanathan, R.
    2006 IEEE 12TH DIGITAL SIGNAL PROCESSING WORKSHOP & 4TH IEEE SIGNAL PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2, 2006, : 262 - 267
  • [8] BANDWIDTH EXTENSION FOR SPEECH ENHANCEMENT
    Mustiere, Frederic
    Bouchard, Martin
    Bolic, Miodrag
    2010 23RD CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2010,
  • [9] A Study on Speech Enhancement for In-Ear-Microphone
    Jung, Chan-Joong
    Chung, Weon-Gook
    Bae, Myung-Jin
    COMPUTER APPLICATIONS FOR GRAPHICS, GRID COMPUTING, AND INDUSTRIAL ENVIRONMENT, 2012, 351 : 182 - 188
  • [10] Conversational quality evaluation of artificial bandwidth extension of telephone speech
    Pulakka, Hannu
    Laaksonen, Laura
    Yrttiaho, Santeri
    Myllyla, Ville
    Alku, Paavo
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2012, 132 (02): : 848 - 861