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[2011.07755] Audio-visual Multi-channel Integration and ...

    https://arxiv.org/abs/2011.07755
    It benefits from a tight integration between a speech separation front-end and recognition back-end, both of which incorporate additional video input. A series of audio-visual multi-channel speech separation front-end components based on TF masking, Filter&Sum and mask-based MVDR neural channel integration approaches are developed.

[2011.14334] Audio-visual Speech Separation with ...

    https://arxiv.org/abs/2011.14334
    Speech separation aims to separate individual voice from an audio mixture of multiple simultaneous talkers. Although audio-only approaches achieve satisfactory performance, they build on a strategy to handle the predefined conditions, limiting their application in the complex auditory scene. Towards the cocktail party problem, we propose a novel audio-visual …

[2011.07755v2] Audio-visual Multi-channel Integration …

    https://arxiv.org/abs/2011.07755v2
    Automatic speech recognition (ASR) technologies have been significantly advanced in the past few decades. However, recognition of overlapped speech remains a highly challenging task to date. To this end, multi-channel microphone array data are widely used in current ASR systems. Motivated by the invariance of visual modality to acoustic signal …

[2011.07755v1] Audio-visual Multi-channel Integration …

    https://arxiv.org/abs/2011.07755v1
    Automatic speech recognition (ASR) technologies have been significantly advanced in the past few decades. However, recognition of overlapped speech remains a highly challenging task to date. To this end, multi-channel microphone array data are widely used in current ASR systems. Motivated by the invariance of visual modality to acoustic signal …

[2011.04359] An Empirical Study of Visual Features for …

    https://arxiv.org/abs/2011.04359
    Abstract: Audio-visual speech enhancement (AVSE) methods use both audio and visual features for the task of speech enhancement and the use of visual features has been shown to be particularly effective in multi-speaker scenarios. In the majority of deep neural network (DNN) based AVSE methods, the audio and visual data are first processed separately …

570 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND …

    https://hcsi.cs.tsinghua.edu.cn/Paper/Paper11/Jiajia_trans2011.pdf
    570 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 19, NO. 3, MARCH 2011 Emotional Audio-Visual Speech Synthesis Based on PAD Jia Jia, Member, IEEE, Shen Zhang, Fanbo Meng, Yongxin Wang, and Lianhong Cai, Member, IEEE Abstract—Audio-visual speech synthesis is the core function

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