Online Audio-Visual Speech Separation with Generative Adversarial Training | |
Zhang Peng2,3; Xu Jiaming2,3; Hao Yunzhe2; Xu Bo1,2,3 | |
2021 | |
会议日期 | 2021-4-23 |
会议地点 | 线上会议 |
关键词 | audio-visual speech separation online processing generative adversarial training causal temporal convolutional network |
卷号 | 0 |
期号 | 0 |
DOI | 0 |
页码 | 0 |
英文摘要 | Audio-visual speech separation has been demonstrated to be effective in solving the cocktail party problem. However, most of the models cannot meet online processing, which limits their application in video communication and human-robot interaction. Besides, SI-SNR, the most popular training loss function in speech separation, results in some artifacts in the separated audio, which would harm downstream applications, such as automatic speech recognition (ASR). In this paper, we propose an online audio-visual speech separation model with generative adversarial training to solve the two problems mentioned above. We build our generator (i.e., audio-visual speech separator) with causal temporal convolutional network block and propose a streaming inference strategy, which allows our model to do speech separation in an online manner. The discriminator is involved in optimizing the generator, which can reduce the negative effects of SI-SNR. Experiments on simulated 2-speaker mixtures based on challenging audio-visual dataset LRS2 show that our model outperforms the state-of-the-art audio-only model Conv-TasNet and audio-visual model advr-AVSS under the same model size. We test the running time of our model on GPU and CPU, and results show that our model meets online processing. The demo and code can be found at https://github.com/aispeech-lab/oavss. |
源文献作者 | Tiangong University |
产权排序 | 1 |
会议录 | 0 |
会议录出版者 | 0 |
会议录出版地 | 0 |
语种 | 英语 |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/44911] |
专题 | 数字内容技术与服务研究中心_听觉模型与认知计算 |
通讯作者 | Xu Jiaming; Xu Bo |
作者单位 | 1.Center for Excellence in Brain Science and Intelligence Technology, CAS 2.Institute of Automation, Chinese Academy of Sciences 3.School of Artificial Intelligence, University of Chinese Academy of Science |
推荐引用方式 GB/T 7714 | Zhang Peng,Xu Jiaming,Hao Yunzhe,et al. Online Audio-Visual Speech Separation with Generative Adversarial Training[C]. 见:. 线上会议. 2021-4-23. |
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