PranavPutsa1006/Speaker-Diarization
Identifying individual speakers in an audio stream based on the unique characteristics found in individual voices using Python
This project helps you automatically identify who spoke when in an audio recording, even if you don't know the speakers beforehand. You input an audio file, and it outputs a transcription of the audio with each speaker's words attributed to them, along with the timestamps for when they spoke. This is ideal for anyone who needs to analyze spoken conversations, like researchers studying group discussions or journalists reviewing interviews.
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Use this if you need to quickly and accurately figure out who said what in an audio recording without manually listening through and annotating every speaker change.
Not ideal if you already know the specific speakers and need to recognize them by name across multiple recordings, or if you only need a basic speech-to-text transcription without speaker attribution.
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Jun 18, 2023
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