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06/05/2023
Rhythm-controllable Attention with High Robustness for Long Sentence Speech Synthesis
Regressive Text-to-Speech (TTS) system utilizes attention mechanism to g...
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05/03/2023
M2-CTTS: End-to-End Multi-scale Multi-modal Conversational Text-to-Speech Synthesis
Conversational text-to-speech (TTS) aims to synthesize speech with prope...
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02/15/2023
DKT-STDRL: Spatial and Temporal Representation Learning Enhanced Deep Knowledge Tracing for Learning Performance Prediction
Knowledge tracing (KT) serves as a primary part of intelligent education...
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10/07/2022
A Keypoint Based Enhancement Method for Audio Driven Free View Talking Head Synthesis
Audio driven talking head synthesis is a challenging task that attracts ...
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09/29/2022
Towards Lightweight Black-Box Attacks against Deep Neural Networks
Black-box attacks can generate adversarial examples without accessing th...
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03/20/2022
ECAPA-TDNN for Multi-speaker Text-to-speech Synthesis
In recent years, neural network based methods for multi-speaker text-to-...
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04/08/2020
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
The success of DNNs has driven the extensive applications of person re-i...
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10/23/2019
Speech Emotion Recognition via Contrastive Loss under Siamese Networks
Speech emotion recognition is an important aspect of human-computer inte...
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04/03/2019
On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning
Multitask learning (MTL) aims to learn multiple tasks simultaneously thr...
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01/31/2019
Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory
Recent years has witnessed dramatic progress of neural machine translati...
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11/11/2018
Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning
Speech emotion recognition is an important aspect of human-computer inte...
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09/13/2018
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition
Automatic emotion recognition is a challenging task. In this paper, we p...
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07/23/2018
Domain Generalization via Conditional Invariant Representation
Domain generalization aims to apply knowledge gained from multiple label...
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01/04/2018
A pairwise discriminative task for speech emotion recognition
Speech emotion recognition is an important task in human-machine interac...
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01/13/2017
Cost-Effective Active Learning for Deep Image Classification
Recent successes in learning-based image classification, however, heavil...
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04/15/2016
DARI: Distance metric And Representation Integration for Person Verification
The past decade has witnessed the rapid development of feature represent...
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03/28/2016
Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention
This paper focuses on two key problems for audio-visual emotion recognit...
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08/08/2015
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy
This work investigates how the traditional image classification pipeline...
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03/20/2014