silenterus/deepspeech-cleaner
Multi-Language Dataset Cleaner/Creator for Mozilla's DeepSpeech Framework
This tool helps researchers, linguists, and data scientists easily collect, clean, and organize large audio datasets for training speech-to-text models in various languages. You provide existing audio corpora or crawl Wikipedia for text, and it outputs structured audio files and associated text transcripts ready for speech recognition model training. It simplifies the preparation of multilingual speech data.
No commits in the last 6 months.
Use this if you need to build or refine a custom speech recognition model for multiple languages and require a streamlined process for preparing high-quality audio and text datasets.
Not ideal if you are looking for a pre-trained, ready-to-use speech recognition system and don't intend to train your own models from scratch.
Stars
48
Forks
6
Language
Python
License
MIT
Category
Last pushed
May 22, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/silenterus/deepspeech-cleaner"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ynop/audiomate
Python library for handling audio datasets.
reazon-research/ReazonSpeech
Massive open Japanese speech corpus
common-voice/cv-dataset
Metadata and versioning details for the Common Voice dataset
davidmartinrius/speech-dataset-generator
🔊 Create labeled datasets, enhance audio quality, identify speakers, support diverse dataset...
EgorLakomkin/KTSpeechCrawler
Automatically constructing corpus for automatic speech recognition from YouTube videos