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E2E-V2SResNet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis

Nasir Saleem, Jiechao Gao, Muhammad Irfan, Elena Verdú, Javier Parra Fuente

2022Image and Vision Computing19 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceSpeech recognitionTIMITIntelligibility (philosophy)Convolutional neural networkSpectrogramEncoderResidualLanguage modelArtificial intelligenceHidden Markov modelAlgorithmOperating systemPhilosophyEpistemologySpeech and Audio ProcessingSpeech Recognition and SynthesisMusic and Audio Processing
E2E-V2SResNet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis | Litcius