Speech Intelligibility of Microphone Arrays in Reverberant Environments with Interference

被引:0
|
作者
Ideli, Elham [1 ]
Vaughan, Rodney G. [1 ]
Bajic, Ivan, V [1 ]
机构
[1] Simon Fraser Univ, Sch Engn Sci, Burnaby, BC, Canada
来源
2018 IEEE 20TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP) | 2018年
基金
加拿大自然科学与工程研究理事会;
关键词
Microphone array; Beamforming technique; Speech intelligibility; NOISE;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
It is known that speech intelligibility degrades with additive noise and reverberation, and that quantitative parameters such as fidelity and signal-to-noise ratio can be improved by using microphone arrays with various beamforming algorithms. However, it is not clear how the array configuration impacts the intelligibility of speech. Numerical experiments, using widely used models, provide the most convenient comparison, and the approach allows rapid assessment of parameters such as the array configuration, the number and spacing of the elements, and modeled features such as room reflection coefficients. For a typical reverberant room with a single wanted source and two unwanted sources (interferers), we compare the performance of two ceiling-mounted configurations - the uniform linear array (ULA) and a uniform circular array (UCA). The microphones are taken as omnidirectional and equispaced along the array loci, and we use a standard gain-constrained power minimization beamformer. In this study, a limiting performance is presented by emphasizing the early reflections over the late ones for the prior steering vector. Under this steering vector condition, for the same number of elements, the UCA easily outperforms the ULA on known quality and intelligibility metrics. For both arrays in this room scenario, all the metrics increase with an increasing number of microphones, although for one intelligibility metric, diminishing returns set in at about 12 microphones.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Adaptive Interference Cancellation Using Microphone Arrays
    Karakutuk, S.
    Agirman, H.
    2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2014, : 1766 - 1769
  • [22] PEVD-BASED SPEECH ENHANCEMENT IN REVERBERANT ENVIRONMENTS
    Neo, Vincent W.
    Evers, Christine
    Naylor, Patrick A.
    2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 186 - 190
  • [23] Evaluation of speech intelligibility in short-reverberant sound fields
    Shimokura, Ryota
    Matsui, Toshie
    Takaki, Yuya
    Nishimura, Tadashi
    Yamanaka, Toshiaki
    Hosoi, Hiroshi
    AURIS NASUS LARYNX, 2014, 41 (04) : 343 - 349
  • [24] Perceptual Characteristics of Chinese Speech Intelligibility in Simulated Reverberant Conditions
    Song, Hui
    Zhang, Siyu
    PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020), 2020, : 131 - 134
  • [25] On Improvement to Non-Reference Speech Intelligibility Estimation Accuracy for Reverberant Speech
    Nakazawa K.
    Kondo K.
    IEEJ Transactions on Electronics, Information and Systems, 2023, 143 (08) : 830 - 841
  • [26] Predicting the intelligibility of reverberant speech for cochlear implant listeners with a non-intrusive intelligibility measure
    Chen, Fei
    Hazrati, Oldooz
    Loizou, Philipos C.
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2013, 8 (03) : 311 - 314
  • [27] Improvement of Speech Intelligibility in Noisy Environments
    Yoon, Jae-Yul
    Kim, JungHoe
    Oh, Eunmi
    Park, Hochong
    JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA, 2009, 28 (01): : 70 - 76
  • [28] Strategies for distant speech recognition in reverberant environments
    Delcroix, Marc
    Yoshioka, Takuya
    Ogawa, Atsunori
    Kubo, Yotaro
    Fujimoto, Masakiyo
    Ito, Nobutaka
    Kinoshita, Keisuke
    Espi, Miquel
    Araki, Shoko
    Hori, Takaaki
    Nakatani, Tomohiro
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2015,
  • [29] AN IMPROVED NON-INTRUSIVE INTELLIGIBILITY METRIC FOR NOISY AND REVERBERANT SPEECH
    Santos, Joao F.
    Senoussaoui, Mohammed
    Falk, Tiago H.
    2014 14TH INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT (IWAENC), 2014, : 55 - 59
  • [30] Japanese speech intelligibility estimation and prediction using objective intelligibility indices under noisy and reverberant conditions
    Kobayashi, Yosuke
    Kondo, Kazuhiro
    APPLIED ACOUSTICS, 2019, 156 : 327 - 335