Speech

MLNET: An Adaptive Multiple Receptive-Field Attention Neural Network for Voice Activity Detection
Voice activity detection (VAD) makes a distinction between speech and non-speech and its performance is of crucial importance for …
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MLNET: An Adaptive Multiple Receptive-Field Attention Neural Network for Voice Activity Detection
A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder
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Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification
State-of-the-art speaker verification models are based on deep learning techniques, which heavily depend on the handdesigned neural …
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A Noise-Robust Self-Adaptive Multitarget Speaker Detection System
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Prioritized Grid Highway Long Short-Term Memory-Based Universal Background Model for Speaker Verification
Prioritized grid long short-term memory (pGLSTM) has been shown to improve automatic speech recognition efficiently. In this paper, we …
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