voice-dataset
wav2vec2-large-100k-voxpopuli-ft-Common-Voice_plus_TTS-Dataset-russianwav2vec2-large-100k-voxpopuli-ft-Common-Voice_plus_TTS-Dataset-portuguesewav2vec2-large-100k-voxpopuli-ft-Common_Voice_plus_TTS-Dataset_plus_Data_Augmentation-russianwav2vec2-large-100k-voxpopuli-ft-Common_Voice_plus_TTS-Dataset_plus_Data_Augmentation-portuguesecommon_voice_dataset_model_naive_charvoice_1_datasetvoice_2_datasetspeecht5_finetuned_voice_dataset_bn_v_3
common_voiceCommon Voice is Mozilla's initiative to help teach machines how real people speak.
The dataset currently consists of 7,335 validated hours of speech in 60 languages, but we’re always adding more voices and languages.portuguese-male-voice-A-datasetnumberblocks-one-voice-datasetX-Voice-Dataset-Train
X-Voice Training Dataset
Overview
The X-Voice training dataset is a large-scale multilingual speech corpus curated for high-performance speech models. It provides a robust foundation for cross-lingual phonetic and prosodic modeling.
Also the train set of X-Voice Model.
Core Statistics
Total Speech Duration: 420K hours
30 languages
European: bg (Bulgarian), cs (Czech), da (Danish), de (German), el (Greek), en (English), es (Spanish), et (Estonian), fi… See the full description on the dataset page: https://huggingface.co/datasets/XRXRX/X-Voice-Dataset-Train.Custom_Common_Voice_16.0_dataset_using_RVC_14min_data
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion
Custom common_voice_v16 corpus with a custom voice was was created using RVC(Retrieval-Based Voice Conversion)
The model underwent 200 epochs of training, utilizing a total of 14min of audio clips. The data was scraped from Youtube.
The audio in the custom generated dataset is of a YouTuber named
Ajay Pandey
Description
license: cc0-1.0
language:
- hi… See the full description on the dataset page: https://huggingface.co/datasets/Aniket-Tathe-08/Custom_Common_Voice_16.0_dataset_using_RVC_14min_data.Custom_common_voice_dataset_using_RVC
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion
Custom common_voice_v11 corpus with a custom voice was was created using RVC(Retrieval-Based Voice Conversion)
The model underwent 200 epochs of training, utilizing a total of 1 hour of audio clips. The data was scraped from Youtube.
The audio in the custom generated dataset is of a YouTuber named
Ajay Pandey
Description
license: cc0-1.0
language:
- hi… See the full description on the dataset page: https://huggingface.co/datasets/Aniket-Tathe-08/Custom_common_voice_dataset_using_RVC.