Speaker Diarization with LSTM.

Philip Andrew Mansfield
Philip Andrew Mansfield

international conference on acoustics, speech, and signal processing, (2018)

Cited by: 146|Views75
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Abstract:

For many years, i-vector based audio embedding techniques were the dominant approach for speaker verification and speaker diarization applications. However, mirroring the rise of deep learning in various domains, neural network based audio embeddings, also known as d-vectors, have consistently demonstrated superior speaker verification pe...More

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