{"total":21,"rows":[{"id":"2105.14762","title":"Emotional Voice Conversion: Theory, Databases and ESD","created":"2021-05-31","cited_by_count":115,"area":null},{"id":"2103.00484","title":"Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward","created":"2021-02-25","cited_by_count":82,"area":null},{"id":"2107.10394","title":"StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion","created":"2021-07-21","cited_by_count":58,"area":null},{"id":"2201.03967","title":"Emotion Intensity and its Control for Emotional Voice Conversion","created":"2022-01-10","cited_by_count":35,"area":null},{"id":"2210.03538","title":"An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era","created":"2022-10-06","cited_by_count":33,"area":null},{"id":"2102.12841","title":"MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames","created":"2021-02-25","cited_by_count":18,"area":null},{"id":"2103.16809","title":"Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training","created":"2021-03-31","cited_by_count":17,"area":null},{"id":"2102.00184","title":"Adversarially learning disentangled speech representations for robust multi-factor voice conversion","created":"2021-01-30","cited_by_count":14,"area":null},{"id":"2401.08095","title":"DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging Discrete Representations without Text Alignment","created":"2024-01-16","cited_by_count":8,"area":null},{"id":"2104.06793","title":"Non-autoregressive sequence-to-sequence voice conversion","created":"2021-04-14","cited_by_count":7,"area":null},{"id":"2106.01415","title":"A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion","created":"2021-06-02","cited_by_count":6,"area":null},{"id":"2307.06040","title":"Rhythm Modeling for Voice Conversion","created":"2023-07-12","cited_by_count":6,"area":null},{"id":"2210.02746","title":"The Sound of Silence: Efficiency of First Digit Features in Synthetic Audio Detection","created":"2022-10-06","cited_by_count":5,"area":null},{"id":"2108.05684","title":"RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform","created":"2021-08-12","cited_by_count":4,"area":null},{"id":"2307.15555","title":"All-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection","created":"2023-07-28","cited_by_count":3,"area":null},{"id":"2102.08075","title":"Axial Residual Networks for CycleGAN-based Voice Conversion","created":"2021-02-16","cited_by_count":2,"area":null},{"id":"2112.02796","title":"Conditional Deep Hierarchical Variational Autoencoder for Voice Conversion","created":"2021-12-06","cited_by_count":2,"area":null},{"id":"2203.16037","title":"Enhancing Zero-Shot Many to Many Voice Conversion with Self-Attention VAE","created":"2022-03-30","cited_by_count":1,"area":null},{"id":"2209.06434","title":"ConvNeXt Based Neural Network for Audio Anti-Spoofing","created":"2022-09-14","cited_by_count":1,"area":null},{"id":"2107.12346","title":"Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations","created":"2021-07-26","cited_by_count":0,"area":null},{"id":"2309.04420","title":"Parallel and Limited Data Voice Conversion Using Stochastic Variational Deep Kernel Learning","created":"2023-09-08","cited_by_count":0,"area":null}],"next_cursor":null}