Amphion - an open-source, all-in-one AI audio project, a toolkit for audio, music, and speech generation.

What is Amphion?

Amphion is an open-source audio, music, and speech generation toolkit, jointly developed by Associate Professor Wu Zhizheng's team at the Chinese University of Hong Kong, Shenzhen, in collaboration with the Shanghai Artificial Intelligence Laboratory and the Shenzhen Big Data Research Institute. The toolkit supports reproducible research, helping junior researchers and engineers quickly enter the field of audio, music, and speech generation. Amphion offers a variety of functionalities, including text-to-speech (TTS), singing voice synthesis (SVS), speech conversion (VC), singing voice conversion (SVC), text-to-audio (TTA), and text-to-music (TTM). It integrates various neural vocoders, such as MelGAN and HiFi-GAN, and comprehensive evaluation metrics to ensure the quality and consistency of generated audio. Amphion's unique feature lies in its visualization capabilities of classic models and architectures, helping researchers and engineers gain a deeper understanding of the models' internal workings.

Amphion's main functions

• Text-to-speech (TTS)Amphion supports a variety of advanced TTS models, which can convert text into natural and fluent speech output.
• Singing Voice Synthesis (SVS)Based on the extracted features of the reference and source audio, Amphion can synthesize singing voices and convert the singer's voice.
• Voice conversion (VC)Amphion can transform one person's voice into another's voice without altering the content of the speech.
• Singing Voice Transformation (SVC)Amphion can transform the voice of one singer into the voice of another.
• Text-to-audio (TTA)Amphion can generate realistic sound effects, voices, and music based on text prompts.
• Text-to-Music (TTM)Amphion can convert text descriptions into musical works.
• VocoderAmphion integrates multiple vocoders for generating high-quality audio signals.

Amphion's technical principles

• Model architecture visualizationAmphion provides visualizations of classic models or architectures to help researchers and engineers better understand how the models work.
• Unified frameworkAmphion provides a unified framework that supports a variety of audio generation tasks, making research and development more convenient.
• pre-trained modelAmphion has released a variety of high-quality pre-trained models, driving reproducible research.
• Neural vocoder integrationAmphion integrates various neural vocoders, such as GAN-based vocoders (MelGAN, HiFi-GAN, etc.), stream-based vocoders (WaveGlow), and diffusion-based vocoders (DiffWave).
• Text-to-audio generationAmphion uses a latent diffusion model, similar to the designs of AudioLDM, Make-an-Audio, and AUDIT, to generate audio based on text prompts.

Amphion's project address

• Project official website:openhlt.github.io/amphion
• GitHub repository:https://github.com/open-mmlab/amphion
• HuggingFace model library:https://huggingface.co/amphion
• arXiv technical paper:https://arxiv.org/pdf/2312.09911

Amphion's application scenarios

• Intelligent voice assistantAmphion can develop more natural and personalized speech synthesis systems, improving the user experience of intelligent voice assistants.
• Virtual anchors and virtual avatarsUse Amphion's TTS and SVS features to create virtual anchors for news broadcasting, online education, and entertainment live streaming.
• Music ProductionMusic producers use Amphion to generate unique sound effects and musical clips, inspiring creativity and accelerating the music creation process.
• Movie and game voice actingIn film production and game development, Amphion creates or alters character voices to suit different scenes and character settings.
• Voice recognition and interaction systemAmphion is used to develop and improve speech recognition systems, making them more accurate and natural.