Copied from https://huggingface.co/marduk-ra/F5-TTS-German, added trained duration model on emilia dataset using https://github.com/eamag/f5-tts-duration
Inference with https://github.com/lucasnewman/f5-tts-mlx
python -m f5_tts_mlx.generate --model "eamag/f5-tts-mlx-german" \
--text "The quick brown fox jumped over the lazy dog." \
--ref-audio /path/to/audio.wav \
--ref-text "This is the caption for the reference audio."
Github: https://github.com/SWivid/F5-TTS
Paper: F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
NOTE: You can set the number of nfe steps to 64 to produce better quality sound.
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the HF Inference API does not support f5-tts models with pipeline type text-to-speech