datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
enhanced-audiosnippets-long-2-8M
Enhanced Audiosnippets Long 2.8M
Enhanced version of mitermix/audiosnippets_long_2_8M with speech enhancement, emotion annotations, speaker embeddings, and comprehensive metadata analysis.
Dataset Summary
Metric
Value
Total samples
2,633,037
Total audio hours
4,932 h
Duration range
3.0s - 1124.3s
Mean duration
6.7s
Audio format
WAV, 48kHz mono
Tar files
1,410
Processing Pipeline
Each audio sample was processed through:
Speech… See the full description on the dataset page: https://huggingface.co/datasets/ai-music4you3/enhanced-audiosnippets-long-2-8M.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.vibravox_enhanced_by_EBEN
Dataset Card
Description
This dataset features a speech-enhanced version of the test split from the speech_clean subset of the Vibravox Dataset.
It is not intended for training.
Enhancement procedure
The Bandwidth extension task has been individually achieved for each sensor using configurable EBEN (arXiv link) models available at https://huggingface.co/Cnam-LMSSC/vibravox_EBEN_models.
Ressources
Results for speech-to-phoneme and speaker… See the full description on the dataset page: https://huggingface.co/datasets/Cnam-LMSSC/vibravox_enhanced_by_EBEN.annotated_catalan_common_voice_v17_cleaned_enhanced
Processed Annotated Catalan Common Voice v17 (CleanUNet + FlashSR)
Dataset Summary
This dataset is a processed and enhanced version of:
projecte-aina/annotated_catalan_common_voice_v17.
Furthermore, as this is a personal project, we give no guarantees that the audio is completely clean from any artifacts or noise the CleanUNet model could not remove.
However, we have personally tested the corpus via the fine-tuning of some SOTA speech models and the results have been… See the full description on the dataset page: https://huggingface.co/datasets/ebellob/annotated_catalan_common_voice_v17_cleaned_enhanced.eurospeech-enhanced-dacvae
EuroSpeech parliamentary speech converted to DAC VAE latents
Source
disco-eth/EuroSpeech
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/laion/eurospeech-enhanced-dacvae.