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Papers
Nonparallel Emotional Speech Conversion Using VAE-GAN
INTERSPEECH 2020
Improving the Speaker Identity of Non-Parallel Many-to-Many Voice Conversion with Adversarial Speaker Recognition
INTERSPEECH 2020
Converting Anyone’s Emotion: Towards Speaker-Independent Emotional Voice Conversion
INTERSPEECH 2020
Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency
INTERSPEECH 2020
Generative Adversarial Training Data Adaptation for Very Low-Resource Automatic Speech Recognition
INTERSPEECH 2020
Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion Without Parallel Data
INTERSPEECH 2020
Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling
INTERSPEECH 2020
Transferring Source Style in Non-Parallel Voice Conversion
INTERSPEECH 2020
Simultaneous Conversion of Speaker Identity and Emotion Based on Multiple-Domain Adaptive RBM
INTERSPEECH 2020
Deep Learning Based Assessment of Synthetic Speech Naturalness
INTERSPEECH 2020
Unsupervised Acoustic Unit Representation Learning for Voice Conversion Using WaveNet Auto-Encoders
INTERSPEECH 2020
Voice Conversion Using Speech-to-Speech Neuro-Style Transfer
INTERSPEECH 2020
Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining
INTERSPEECH 2020
Deep MOS Predictor for Synthetic Speech Using Cluster-Based Modeling
INTERSPEECH 2020
Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks
INTERSPEECH 2020
Enhancing Intelligibility of Dysarthric Speech Using Gated Convolutional-Based Voice Conversion System
INTERSPEECH 2020
Nonparallel Training of Exemplar-Based Voice Conversion System Using INCA-Based Alignment Technique
INTERSPEECH 2020