An Adaptive Method Based on Multiscale Dilated Convolutional Network for Binaural Speech Source Localization

Joint Authors

Yang, Bing
Ding, Runwei
Wu, Lulu
Liu, Hong

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-30

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Philosophy

Abstract EN

Most binaural speech source localization models perform poorly in unprecedentedly noisy and reverberant situations.

Here, this issue is approached by modelling a multiscale dilated convolutional neural network (CNN).

The time-related crosscorrelation function (CCF) and energy-related interaural level differences (ILD) are preprocessed in separate branches of dilated convolutional network.

The multiscale dilated CNN can encode discriminative representations for CCF and ILD, respectively.

After encoding, the individual interaural representations are fused to map source direction.

Furthermore, in order to improve the parameter adaptation, a novel semiadaptive entropy is proposed to train the network under directional constraints.

Experimental results show the proposed method can adaptively locate speech sources in simulated noisy and reverberant environments.

American Psychological Association (APA)

Wu, Lulu& Liu, Hong& Yang, Bing& Ding, Runwei. 2020. An Adaptive Method Based on Multiscale Dilated Convolutional Network for Binaural Speech Source Localization. Complexity،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1142565

Modern Language Association (MLA)

Yang, Bing…[et al.]. An Adaptive Method Based on Multiscale Dilated Convolutional Network for Binaural Speech Source Localization. Complexity No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1142565

American Medical Association (AMA)

Wu, Lulu& Liu, Hong& Yang, Bing& Ding, Runwei. An Adaptive Method Based on Multiscale Dilated Convolutional Network for Binaural Speech Source Localization. Complexity. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1142565

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1142565