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SUSing: SU-net for Singing Voice Synthesis
Singing voice synthesis is a generative task that involves multi-dimensional control of the singing model, including lyrics, pitch, and …
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SUSing: SU-net for Singing Voice Synthesis
TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS
Recently, synthesizing personalized speech by text-to-speech (TTS) application is highly demanded. But the previous TTS models require …
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TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS
AVQVC: One-Shot Voice Conversion By Vector Quantization With Applying Contrastive Learning
Voice Conversion(VC) refers to changing the timbre of a speech while retaining the discourse content. Recently, many works have focused …
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AVQVC: One-Shot Voice Conversion By Vector Quantization With Applying Contrastive Learning
DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning
Any-to-any voice conversion problem aims to convert voices for source and target speakers, which are out of the training data. Previous …
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DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning
nnSpeech: Speaker-Guided Conditional Variational Autoencoder for Zero-Shot Multi-speaker text-to-speech
Multi-speaker text-to-speech (TTS) using a few adaption data is a challenge in practical applications. To address that, we propose a …
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nnSpeech: Speaker-Guided Conditional Variational Autoencoder for Zero-Shot Multi-speaker text-to-speech
Self-Attention for Incomplete Utterance Rewriting
Incomplete utterance rewriting (IUR) has recently become an essential task in NLP, aiming to complement the incomplete utterance with …
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Self-Attention for Incomplete Utterance Rewriting
A Fair Federated Learning Framework With Reinforcement Learning
Federated learning (FL) is a paradigm where many clients collaboratively train a model under the coordination of a central server, …
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A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain
Machine learning techniques have been widely applied in modern financial activities. Participants in the field are aware of the …
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A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy
Currently, the federated graph neural network (GNN) has attracted a lot of attention due to its wide applications in reality without …
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Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection
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