Researchers have developed a method to improve the performance of automatic speech recognition (ASR) on large audio files using Wav2Vec2 in 🤗 Transformers. The approach, called 'chunking', involves breaking down long audio files into smaller segments and processing them separately. This allows for more efficient use of computational resources and can significantly reduce the time it takes to transcribe large audio files. According to the authors, this method can be particularly useful for applications such as podcast transcription or speech-to-text in videos. --- Why it matters: This matters because many real-world applications require processing long audio files, and current ASR methods often struggle with efficiency and speed. Source: https://huggingface.co/blog/asr-chunking