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Papers
Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion
Interspeech 2019
Jointly Trained Conversion Model and WaveNet Vocoder for Non-Parallel Voice Conversion Using Mel-Spectrograms and Phonetic Posteriorgrams
Interspeech 2019
Joint Training Framework for Text-to-Speech and Voice Conversion Using Multi-Source Tacotron and WaveNet
Interspeech 2019
MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion
Interspeech 2019
Non-Parallel Voice Conversion Using Weighted Generative Adversarial Networks
Interspeech 2019
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
Interspeech 2019
NUS Speak-to-Sing: A Web Platform for Personalized Speech-to-Singing Conversion
Interspeech 2019
One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
Interspeech 2019
One-Shot Voice Conversion with Disentangled Representations by Leveraging Phonetic Posteriorgrams
Interspeech 2019
One-Shot Voice Conversion with Global Speaker Embeddings
Interspeech 2019
Parallel vs. Non-Parallel Voice Conversion for Esophageal Speech
Interspeech 2019
Phone Aware Nearest Neighbor Technique Using Spectral Transition Measure for Non-Parallel Voice Conversion
Interspeech 2019
Robustness of Statistical Voice Conversion Based on Direct Waveform Modification Against Background Sounds
Interspeech 2019
Semi-Supervised Voice Conversion with Amortized Variational Inference
Interspeech 2019
Speaker Augmentation and Bandwidth Extension for Deep Speaker Embedding
Interspeech 2019
StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion
Interspeech 2019
STC Antispoofing Systems for the ASVspoof2019 Challenge
Interspeech 2019
Synthesized Spoken Names: Biases Impacting Perception
Interspeech 2019
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion
Interspeech 2019
Unsupervised Singing Voice Conversion
Interspeech 2019
Using a Manifold Vocoder for Spectral Voice and Style Conversion
Interspeech 2019
Whether to Pretrain DNN or not?: An Empirical Analysis for Voice Conversion
Interspeech 2019
Audio-visual Voice Conversion Using Deep Canonical Correlation Analysis for Deep Bottleneck Features
Interspeech 2018
A Voice Conversion Framework with Tandem Feature Sparse Representation and Speaker-Adapted WaveNet Vocoder
Interspeech 2018
Collapsed Speech Segment Detection and Suppression for WaveNet Vocoder
Interspeech 2018