Speaker Embeddings Incorporating Acoustic Conditions For Diarization

We present our work on training speaker embeddings, especially effective for speaker diarization. For various speaker recognition tasks, extracting speaker embeddings using Deep Neural Networks (DNNs) has become major methods. These embeddings are general
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