google/uis-rnn
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
This tool helps identify who spoke when in an audio recording, even if multiple people talk over each other. You provide audio features (like speaker embeddings) for an utterance, and it outputs a sequence of labels indicating which speaker is speaking at each moment. It's designed for anyone working with audio that needs to automatically separate and label different speakers.
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Use this if you need to automatically determine and label individual speakers in an audio recording where speakers might overlap.
Not ideal if you need an out-of-the-box solution without providing your own audio features, or if you need to identify *who* the speakers are rather than just separating them.
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Language
Python
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Apache-2.0
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Last pushed
Sep 25, 2024
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