Bandwidth Extension WaveNet for Bone-Conducted Speech Enhancement-Reference-Cited by-同舟云学术

Bandwidth Extension WaveNet for Bone-Conducted Speech Enhancement

Published:2019-12-22 Issue: Volume: Page:3-14
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
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Author:

Zheng Changyan,Yang Jibin,Zhang Xiongwei,Cao Tieyong,Sun Meng,Zheng Linlin

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-2756-2_1

Reference23 articles.

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2. Shin H, Kang G, and Fingscheidt T. Survey of speech enhancement supported by a bone conduction microphone [C]. 10th ITG Symposium of Speech Communication Symposium, 2012, Braunschweig, Germany.

3. Liu B, Tao J, Wen Z, Li Y, and Bukhari D. A novel method of artificial bandwidth extension using deep architecture [C]. 16th Annual Conference of the International Speech Communication Association (INTERSPEECH), 2015, Dresden, Germany.

4. Shahina A, Yegnanarayana B. Mapping speech spectra from throat microphone to close-speaking microphone: A neural network approach [J]. EURASIP Journal on Advances in Signal Processing, 2007: 1-10.

5. Trung P N, Unoki M, Akagi M. A study on restoration of bone conducted speech in noisy environments with lp-based model and gaussian mixture model [J]. Journal of Signal Processing, 2012: 409-417.

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1. A Two-Stage Approach to Quality Restoration of Bone-Conducted Speech;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. Attention-Based Fusion for Bone-Conducted and Air-Conducted Speech Enhancement in the Complex Domain;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

3. Fusing Bone-Conduction and Air-Conduction Sensors for Complex-Domain Speech Enhancement;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2022