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r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled Noise Introducing and Contextual Information Incorporation
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RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery
The extraction of sequence patterns from a collection of functionally linked unlabeled DNA sequences is known as DNA motif discovery, …
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Supervised Contrastive Meta-learning for Few-Shot Classification
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Towards Speaker Age Estimation With Label Distribution Learning
Existing methods for speaker age estimation usually treat it as a multi-class classification or a regression problem. However, precise …
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VU-BERT: A Unified Framework for Visual Dialog
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zkMLaaS: a Verifiable Scheme for Machine Learning as a Service
Machine Learning as a Service is a promising service for individuals and companies who would like to delegate model training to third …
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CycleGEAN: Cycle Generative Enhanced Adversarial Network for Voice Conversion
Cycle Generative Adversarial Network (CycleGAN) for voice conversion (VC) task only used discriminators to identify whether the input …
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CycleGEAN: Cycle Generative Enhanced Adversarial Network for Voice Conversion
Reconstructing Dual Learning for Neural Voice Conversion Using Relatively Few Samples
This paper introduces a dual learning system for neural voice conversion (DualVC) using relatively few samples based on the symmetry of …
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Reconstructing Dual Learning for Neural Voice Conversion Using Relatively Few Samples
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training
Non-parallel many-to-many voice conversion remains an interesting but challenging speech processing task. Recently, AutoVC, a …
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TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation
Predicting the altered acoustic frames is an effective way of self-supervised learning for speech representation. However, it is …
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Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation