视听语音识别(Audio-visual speech recognition)视听语音识别(AVSR)和唇读的问题紧密相关。Mroueh等[36]使用前馈深度神经网络(DNN)在大型非公共视听数据集上进行音素分类。事实证明,将HMM与手工制作或预先训练的视觉功能结合使用很普遍——[48]使用DBF编码输入图像;[20]使用DCT;[38]使用经过预训练的CNN对音素进行分类...
Both models are built on top of the transformer self-attention architecture; (2) we investigate to what extent lip reading is complementary to audio speech recognition, especially when the audio signal is noisy; (3) we introduce and publicly release a new dataset for audio-visual speech ...
Audio-visual speech recognition (AVSR) system is thought to be one of the most promising solutions for reliable speech recognition, particularly when the audio is corrupted by noise. However, cautious selection of sensory features is crucial for attainin
This paper develops an Audio-Visual Speech Recognition (AVSR) method, by (1) exploring high-performance visual features, (2) applying audio and visual deep bottleneck features to improve AVSR performance, and (3) investigating effectiveness of voice activity detection in a visual modality. In our...
Audio-visual speech recognition using deep learning 下载积分: 4990 内容提示: Appl Intell (2015) 42:722–737DOI 10.1007/s10489-014-0629-7Audio-visual speech recognition using deep learningKuniaki Noda ·Yuki Yamaguchi ·Kazuhiro Nakadai ·Hiroshi G. Okuno ·Tetsuya OgataPublished online: 20 ...
本文探讨了深度音频-视觉语音分离技术，通过引入注意力机制提升分离效果。文章引入了基于《The Conversation:Deep Audio-Viusal Speech Enhancement》的baseline模型，其特点在于利用了一个目标说话人的视觉流。然而，该文章进一步创新，提出了深度音频-视觉语音分离方法，并在模型中加入了注意力机制，以更精准地...
论文地址:相位感知深度语音增强:这完全取决于帧长 论文代码:https://github.com/CarmiShimon/Phase-Aware-Deep-Speech-Enhancement 引用格式:Peer T, Gerkmann T. Phase-aware deep speech enha
In this paper, we present methods in deep multimodal learning for fusing speech and visual modalities for Audio-Visual Automatic Speech Recognition (AV-ASR). First, we study an approach where uni-modal deep networks are trained separately and their final hidden layers fused to obtain a joint fea...
2、proposed deep audio-visual speech separation with attention baseline只输入一个说话人的visual representation, 而作者模型将两个说话人的visual representation输入到模型中。 图3 这仅仅表示magnitude subnetwork, phase subnetwork 和baseline一样 Attention Mechanism for Audio-Visual Speech Separation 作者还提出一...
In this project, we worked on speech recognition, specifically predicting individual words based on both the video frames and audio. Empowered by convolutional neural networks, the recent speech recognition and lip reading models are comparable to human level performance. We re-implemented and made ...