A deep learning based noise reduction approach to improve speech intelligibility for cochlear implant recipients in the presence of competing speech noise

Syu Siang Wang, Yu Tsao, Hsiao Lan Sharon Wang, Ying Hui Lai, Lieber Po Hung Li

研究成果: 書貢獻/報告類型會議論文篇章

5 引文 斯高帕斯(Scopus)

摘要

This paper presents the clinical results of the application of a deep-learning-based noise reduction (NR) approach to improve speech intelligibility for cochlear implant (CI) recipients in the presence of competing speech noise. The deep denoising autoencoder (DDAE) model was used as a representative deep-learning-based NR model to reduce the noise components from the noisy input. The enhanced speech was subsequently played to six Mandarin-speaking CI recipients to perform recognition tests. All the subjects used their own clinical speech processors during testing. Two traditional NR approaches were also implemented to test the performance for a comparison. The Taiwan Mandarin version of the hearing in noise test (TMHINT) sentences were adopted and further corrupted by competing two talker speech noise at signal-to-noise ratio (SNR) levels of 0 and 5 dB. The experimental results showed that the DDAE NR approach can yield higher intelligibility scores than the two classical NR techniques in the presence of competing speech. The results of qualitative analysis further showed that the DDAE NR approach notably reduced the envelope distortions. The good results also suggest that the proposed DDAE NR approach can combine well with the existing CI processors to overcome the issue of degradation of speech perception, which is caused by competing speech noise.

原文英語
主出版物標題Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面808-812
頁數5
ISBN(電子)9781538615423
DOIs
出版狀態已發佈 - 2018 2月 5
事件9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, 马来西亚
持續時間: 2017 12月 122017 12月 15

出版系列

名字Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
2018-February

會議

會議9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
國家/地區马来西亚
城市Kuala Lumpur
期間2017/12/122017/12/15

ASJC Scopus subject areas

  • 人工智慧
  • 人機介面
  • 資訊系統
  • 訊號處理

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