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The FACodec model is a core component of the advanced text-to-speech (TTS) model NaturalSpeech 3. FACodec is a speech codec that converts complex speech waveforms into disentangled subspaces representing different speech attributes like content, prosody, timbre, and acoustic details. This decomposition simplifies the modeling of speech representation compared to previous methods. FACodec can be used to develop different modes of TTS models, such as non-autoregressive based discrete diffusion (NaturalSpeech 3) or autoregressive models (like VALL-E). Model inputs and outputs Inputs Audio waveforms Outputs Disentangled speech representation in the form of subspaces for content, prosody, timbre, and acoustic details Capabilities The FACodec model is capable of decomposing complex speech waveforms into interpretable subspaces, enabling more simplified and controllable speech modeling. This can benefit research into developing advanced TTS systems that generate high-quality, expressive speech. What can I use it for? Researchers can leverage the FACodec model to build different types of TTS models, such as the non-autoregressive NaturalSpeech 3 or autoregressive models like VALL-E. The disentangled speech representation learned by FACodec could enable more fine-grained control and editability of the generated speech. Things to try Experiment with using the FACodec model as a building block for different TTS architectures. Explore how the disentangled subspaces can be leveraged to achieve greater controllability and expressiveness in generated speech. Investigate the model's performance on diverse speech data and its ability to generalize to different languages and accents.

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Updated 5/21/2024