# Speech recognition processing max\_length

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**Category:** Beginners\
**Created:** [October 19, 2024, 11:31am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fspeech-recognition-processing-max-length%2F112799 "2024-10-19T11:31:12Z")\
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**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [October 19, 2024, 12:18pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fspeech-recognition-processing-max-length%2F112799%2F2 "2024-10-19T12:18:19Z")

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This might have something to do with it.

> [@Whisper on long audio files -- support for chunking?](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fwhisper-on-long-audio-files-support-for-chunking%2F24682)%3A
>
> The transformer library supports chunking (concatenation of multiple segments) for transcribing long audio files with Wav2Vec2, as described here: [Making automatic speech recognition work on large files with Wav2Vec2 in hugs Transformers](https://huggingface.co/blog/asr-chunking) The OpenAI repository contains code for chunking with Whisper: [whisper/transcribe.py at main · openai/whisper · GitHub](https://github.com/openai/whisper/blob/main/whisper/transcribe.py) Is chunking with Whisper supported in the transformers library?

> **[openai/whisper-large-v3 · Hugging Face](https://huggingface.co/openai/whisper-large-v3#chunked-long-form)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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