Making automatic speech recognition work on large files with Wav2Vec2 in 🤗 Transformers

1. 1Split large audio files into smaller chunks
2. 2Apply Wav2Vec2 to each chunk with or without stride
3. 3Combine the results for final transcription
4. 4Optimize chunk size and stride for best performance

This benefits machine learning engineers and speech recognition developers who need to process long audio files, as it allows them to leverage the strengths of Wav2Vec2 while working around its sequence length limitations.

💡 Chunking allows Wav2Vec2 to handle arbitrarily long audio files

Use Wav2Vec2 with chunking for high-quality ASR on large files!