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EM-TTS: Efficiently Trained Low-Resource Mongolian Lightweight Text-to-Speech
Recurrent neural networks have become a standard modeling technique for sequential data in TTS systems and are widely used.
CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding
This paper proposes a talking face generation method named "CP-EB" that takes an audio signal as input and a person image as reference, to synthesize a photo-realistic people talking video with head poses controlled by a short video clip and proper eye blinking embedding.
Efficiently Trained Low-Resource Mongolian Text-to-Speech System Based On FullConv-TTS
The final experimental results show that the TTS model using only the CNN component can reduce the training time compared to the classic TTS models such as Tacotron while ensuring the quality of the synthesized speech.
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