I am looking for help in the development of an AI tool to parse air traffic control audio communications. We have MP3 files of recorded audio communications and would like to extract words/phrases from the feed using open source LLMs.
The textural data extracted from the audio files will need to be on a timeline so that we know when the communication occurred. The attached recording is in real-time.
The final deliverables will be:
- Software source code to parse this and additional MP3 recordings (Python, Java, etc.)
- Results from parsing the attached MP3 recording with word/phrase data and start/end time of each observation
Output/result data should be in JSON format
Location: Anywhere
Posted: Aug. 28, 2024, 10:33 p.m.
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