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Dataset · Hugging Face

TTS-AGI/mls-enhanced-dacvae

Multilingual LibriSpeech converted to DAC VAE latents Source facebook/multilingual_librispeech Format Each tar shard (~2GB) contains samples with three files per sample: {sample_key}.audio.flac # Original audio (FLAC, original sample rate) {sample_key}.dacvae.npy # DAC VAE latent [T_latent, 128] numpy float32 {sample_key}.metadata.json # All metadata + duration_seconds + chars_per_second DAC VAE Latent Format Model:… See the full description on the dataset page: https://huggingface.co/datasets/TTS-AGI/mls-enhanced-dacvae.

Author / organizationTTS-AGI
License (as declared)cc-by-4.0
Downloads141 (as reported by Hugging Face)
Likes0
Created22 March 2026
Last updated at source24 March 2026
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