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Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding
End-to-end Spoken Language Understanding (SLU) models are made increasingly large and complex to achieve the state-of-the-art accuracy. …
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Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding
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
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit
Recent neural speech synthesis systems have gradually focused on the control of prosody to improve the quality of synthesized speech, …
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Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit
Research on Singing Voice Detection Based on a Long-Term Recurrent Convolutional Network with Vocal Separation and Temporal Smoothing
Singing voice detection or vocal detection is a classification task that determines whether a given audio segment contains singing …
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Research on Singing Voice Detection Based on a Long-Term Recurrent Convolutional Network with Vocal Separation and Temporal Smoothing
Aligntts: Efficient Feed-Forward Text-to-Speech System Without Explicit Alignment
Targeting at both high efficiency and performance, we propose AlignTTS to predict the mel-spectrum in parallel. AlignTTS is based on a …
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Aligntts: Efficient Feed-Forward Text-to-Speech System Without Explicit Alignment
GraphTTS: Graph-to-Sequence Modelling in Neural Text-to-Speech
This paper leverages the graph-to-sequence method in neural text-to-speech (GraphTTS), which maps the graph embedding of the input …
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GraphTTS: Graph-to-Sequence Modelling in Neural Text-to-Speech
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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Singing Voice Detection Using Multi-Feature Deep Fusion with CNN
The problem of singing voice detection is to segment a song into vocal and non-vocal parts. Commonly used methods usually train a model …
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Singing Voice Detection Using Multi-Feature Deep Fusion with CNN
Transfer Learning for Music Classification and Regression Tasks Using Artist Tags
In this paper, a transfer learning method that exploits artist tags for general-purpose music feature vector extraction is presented. …
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Transfer Learning for Music Classification and Regression Tasks Using Artist Tags