| 演講題目：以機器學習與非監督式信號處理架構提升聽覺輔具之補償效益 Performance improvement for assistive hearing devices based on the machine learning and unsupervised signal processing technologies. 主講人：賴穎暉 博士 (中央研究院資訊科技創新研究中心博士後研究員) 時間：105年5月25日(星期三13：30 - 15：00) 地點：文1F10 Abstract: Hearing aids (HAs) and cochlear implants (CIs) are important assistive hearing devices that provide a sense of sound in patients with hearing loss. The considerable progress of HAs and CIs technologies in the past three decades has enabled many users to enjoy a high level of speech understanding in quiet. For most users, however, understanding speech in noisy environments remains a challenge. In this talk, I will present several proposed approaches to address this important issue to further improve the benefits of speech intelligibility for HAs or CIs users under noisy conditions. First, I will describe the proposed adaptive envelope compression (AEC) strategy, which is effective at enhancing the modulation depth of envelope waveform by making best use of its dynamic range and thus improving the intelligibility for CI recipients compared with the traditional static envelope compression. Second, I will describe the proposed unsupervised noise reduction approach, called GMAPA. Third, I will introduce the deep learning based NR approach (deep denoising autoencoder, DDAE), which has been investigated its effectiveness for improving the speech intelligibility for CI recipients. Finally, I will introduce two proposed APPs that can help hearing loss individual improving audibility based on their mobile phone. Some experimental results indicated that, under challenging noisy listening conditions, the above-described method can provide good enough benefits for users and suggesting these methods could potentially be integrated into CIs and HAs to overcome speech perception degradation caused by noise. Vita: Ying-Hui Lai received the B.S. degrees in department of industrial education from National Taiwan Normal University in 2005, and the Ph.D. degree in department of biomedical engineering from National Yang-Ming University in 2013. From January 2010 to June 2012, Dr. Lai was as a research and development (R&D) engineering in Aescu technology, Taipei, Taiwan, where he engaged in research and product development in hearing aids. Currently, Dr. Lai is a postdoctoral fellow of the research center for information technology innovation at Academia Sinica. His research focuses on hearing aids, cochlear implant, speech enhancement and pattern recognition. |
