تقرير
Distributed Microphone Speech Enhancement based on Deep Learning
| العنوان: | Distributed Microphone Speech Enhancement based on Deep Learning |
|---|---|
| المؤلفون: | Wang, Syu-Siang, Liang, Yu-You, Hung, Jeih-weih, Tsao, Yu, Wang, Hsin-Min, Fang, Shih-Hau |
| سنة النشر: | 2019 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Machine Learning, Computer Science - Sound |
| الوصف: | Speech-related applications deliver inferior performance in complex noise environments. Therefore, this study primarily addresses this problem by introducing speech-enhancement (SE) systems based on deep neural networks (DNNs) applied to a distributed microphone architecture, and then investigates the effectiveness of three different DNN-model structures. The first system constructs a DNN model for each microphone to enhance the recorded noisy speech signal, and the second system combines all the noisy recordings into a large feature structure that is then enhanced through a DNN model. As for the third system, a channel-dependent DNN is first used to enhance the corresponding noisy input, and all the channel-wise enhanced outputs are fed into a DNN fusion model to construct a nearly clean signal. All the three DNN SE systems are operated in the acoustic frequency domain of speech signals in a diffuse-noise field environment. Evaluation experiments were conducted on the Taiwan Mandarin Hearing in Noise Test (TMHINT) database, and the results indicate that all the three DNN-based SE systems provide the original noise-corrupted signals with improved speech quality and intelligibility, whereas the third system delivers the highest signal-to-noise ratio (SNR) improvement and optimal speech intelligibility. Comment: deep neural network, multi-channel speech enhancement, distributed microphone architecture, diffuse noise environment |
| نوع الوثيقة: | Working Paper |
| الوصول الحر: | http://arxiv.org/abs/1911.08153Test |
| رقم الانضمام: | edsarx.1911.08153 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |