[Whisper] Support OGG file extension
Problem
Describe the feature or improvement you're requesting Dear OpenAI Team, I am writing to request the addition of OGG file format support in the Whisper model. As you know, OGG is a popular open-source multimedia container format that is widely used for streaming, storing, and transmitting digital multimedia content such as audio and video. Currently, the Whisper model supports only a limited number of audio file formats, such as WAV and MP3. However, many users, including myself, prefer to use OGG format due to its superior compression, quality, and open-source nature. Therefore, I would like to request that the OpenAI team considers adding OGG file format support to the Whisper model. This would allow users to process and generate high-quality audio content in OGG format, which is important for many applications such as music production, podcasting, and voiceover work. I believe that adding support for OGG file format in the Whisper model would be a valuable addition to the platform, and would help to expand the range of options available to users. Thank you for your consideration, and I look forward to hearing your response. Sincerely, Ido Additional context Specifically `opus codecs`
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1 Fix
Add OGG File Extension Support to Whisper Model
The Whisper model currently lacks support for the OGG file format, particularly for audio encoded with Opus codecs. This is due to the absence of necessary libraries and codecs in the audio processing pipeline, which limits the model's ability to decode and process OGG files effectively.
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- 1
Integrate OGG Support in Audio Processing Pipeline
Modify the audio processing pipeline to include support for OGG files. This involves adding a library that can decode OGG files, such as libvorbis or opusfile, to handle Opus codecs.
bashpip install opuslib - 2
Update File Format Handling Logic
In the Whisper model's file handling logic, add a condition to check for the OGG file extension. If an OGG file is detected, use the newly integrated library to decode the audio data before processing it.
pythonif file_extension == 'ogg': audio_data = decode_ogg(file_path) - 3
Implement Unit Tests for OGG Support
Create unit tests to verify that the Whisper model can successfully process OGG files. This should include tests for various audio qualities and lengths to ensure robust performance.
pythondef test_ogg_processing(): assert process_audio('test.ogg') == expected_output - 4
Update Documentation
Revise the Whisper model documentation to include information about the new OGG file support. This should detail the supported codecs and any limitations or requirements for using OGG files.
yamlDocumentation updated to include OGG support details.
Validation
To confirm the fix worked, run the Whisper model with various OGG files and verify that the audio is processed correctly without errors. Additionally, check that the output quality meets the expected standards for audio generated from OGG files.
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Environment
Submitted by
Alex Chen
2450 rep