AudioGPT is an open-source project offering implementations and pretrained models for a wide range of audio-related tasks, including understanding and generating speech, music, sound, and talking head videos. It supports tasks like Text-to-Speech, Speech Recognition, Speech Enhancement, Text-to-Sing, Text-to-Audio, Audio Inpainting, Image-to-Audio, Sound Detection, and Talking Head Synthesis. The project leverages various foundation models such as FastSpeech, SyntaSpeech, VITS, GenerSpeech, Whisper, Conformer, ConvTasNet, TF-GridNet, DiffSinger, VISinger, Make-An-Audio, Audio-transformer, TSDNet, LASSNet, and GeneFace. It is designed for researchers and developers interested in advancing AI in audio processing and generation.
Best used for
Ideal for developers and researchers who need to implement and experiment with advanced AI models for audio generation and understanding. Especially valuable for those working on speech synthesis, music creation, sound design, and talking head video production.
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