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01/29/2022
ItôWave: Itô Stochastic Differential Equation Is All You Need For Wave Generation
In this paper, we propose a vocoder based on a pair of forward and rever...
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07/07/2021
Multi-modal Affect Analysis using standardized data within subjects in the Wild
Human affective recognition is an important factor in human-computer int...
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05/17/2021
ItôTTS and ItôWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation
In this paper, we propose to unify the two aspects of voice synthesis, n...
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09/23/2020
LoRRaL: Facial Action Unit Detection Based on Local Region Relation Learning
End-to-end convolution representation learning has been proved to be ver...
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09/07/2020
Toward the pre-cocktail party problem with TasTas+
Deep neural network with dual-path bi-directional long short-term memory...
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08/06/2020
Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss
Deep neural network with dual-path bi-directional long short-term memory...
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02/13/2020
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training
In this paper, we propose a method called Hodge and Podge for sound even...
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01/23/2020
La Furca: Iterative Context-Aware End-to-End Monaural Speech Separation Based on Dual-Path Deep Parallel Inter-Intra Bi-LSTM with Attention
Deep neural network with dual-path bi-directional long short-term memory...
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07/17/2019
HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods
In this paper, we present a method called HODGEPODGE[1] for large-scale ...
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03/25/2019
Learning from Adversarial Features for Few-Shot Classification
Many recent few-shot learning methods concentrate on designing novel mod...
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02/12/2019
FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks
Deep dilated temporal convolutional networks (TCN) have been proved to b...
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02/02/2019
FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation
Deep gated convolutional networks have been proved to be very effective ...
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02/02/2019
Is CQT more suitable for monaural speech separation than STFT? an empirical study
Short-time Fourier transform (STFT) is used as the front end of many pop...
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11/17/2017
A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification
J-vector has been proved to be very effective in text-dependent speaker ...
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08/22/2013
Online and stochastic Douglas-Rachford splitting method for large scale machine learning
Online and stochastic learning has emerged as powerful tool in large sca...
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07/23/2012