Using deep belief networks for vector-based speaker recognition

  title={Using deep belief networks for vector-based speaker recognition},
  author={William M. Campbell},
Deep belief networks (DBNs) have become a successful approach for acoustic modeling in speech recognition. DBNs exhibit strong approximation properties, improved performance, and are parameter efficient. In this work, we propose methods for applying DBNs to speaker recognition. In contrast to prior work, our approach to DBNs for speaker recognition starts at the acoustic modeling layer. We use sparse-output DBNs trained with both unsupervised and supervised methods to generate statistics for… CONTINUE READING
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