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AI 모델 84757

• mms-tts-vie↗

  facebook

  This model is part of Facebook's Massively Multilingual Speech project, aiming to provide speech technology across a diverse range of languages. You can find more details about the supported languages and their ISO 639-3 codes in the MMS Language Coverage Overview, and see all MMS-TTS checkpoints on the Hugging Face Hub: facebook/mms-tts. VITS (**V**ariational **I**nference with adversarial learning for end-to-end **T**ext-to-**S**peech) is an end-to-end speech synthesis model that predicts a speech waveform conditional on an input text sequence. It is a conditional variational autoencoder (VAE) comprised of a posterior encoder, decoder, and conditional prior. A set of spectrogram-based acoustic features are predicted by the flow-based module, which is formed of a Transformer-based text encoder and multiple coupling layers. The spectrogram is decoded using a stack of transposed convolutional layers, much in the same style as the HiFi-GAN vocoder. Motivated by the one-to-many nature of the TTS problem, where the same text input can be spoken in multiple ways, the model also includes a stochastic duration predictor, which allows the model to synthesise speech with different rhythms from the same input text.

• Qwen3.5-0.8B-heretic-GGUF↗

  FadedRedStar

• Mistral-7B-v0.1↗

  Featherless-Chat-Models

• haphazardlyinc-Andy-Feather-V2-700m-GGUF↗

  Flexan

• eus-latn-10mb-after-ppt-Dp-10mb-packed-bfdiso-ckpt500_seed10↗

  francesca9805

• hin-deva-10mb-ppt-Dp-10mb-packed-bfdiso_seed3407↗

  francesca9805

• swa-100mb-after-wc-zipf-newlex-after-ckpt500-packed-bfdiso_seed455↗

  francesca9805

• Qwen3.8-27B-GGUF↗

  FreeMangione221

• intermediate↗

  funnel-transformer

• multiberts-seed_3-step_40k↗

  Google