and S. Hayamizu. Audio-visual speech recognition using deep bottleneck features and high-performance lipreading. In 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), pages 575–582. IEEE, 2015. ...
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 attaining high recognition performance. In the machine...
语音到语音合成:即语音转换了;2 跨模态合成:视频到语音合成:即从视频的唇语动作中提取内容信息,然后加上一个人的基于语音提取的身份信息,合成出这个人的声音,也就是lip-to-speech synthesis的任务;语音到视频合成,即从语音中提取文本内容信息,驱动合成目标人的talking face;本文在实验中对比了各种基线,效果都更好...
We have made signi cant progress in automatic speech recognition (ASR) for well-de ned applications like dictation and medium vocabulary transaction processing tasks in relatively controlled environments. However, for ASR to approach human levels of performance and for speech to become a truly pervasiv...
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 is the task of transcribing a paired audio and visual stream into text. 相关学科:LipreadingLip ReadingLip TrackingLip SegmentationVisual Speech RecognitionSparse TransformerLip DetectionRobust Speech RecognitionSpeech RecognitionVisual Keyword Spotting ...
Many recent studies show that Augmented Reality (AR) and Automatic Speech Recognition (ASR) technologies can be used to help people with disabilities. Many of these studies have been performed only in their specialized field. Audio-Visual Speech Recognition (AVSR) is one of the advances in ASR...
Traditional speech recognition systems use Gaussian mixture models to obtain the likelihoods of individual phonemes, which are then used as state emission probabilities in hidden Markov models representing the words. In hybrid systems, the Gaussian mixtures are replaced by more discriminant classifiers, ...
A more basic audio-visual speech emotion recognition system is composed of four components: audio feature extraction, visual feature extraction, feature selection and classification. What may be considered the structure of a standard audio-visual emotion recognition system is illustrated in Figure 1. ...