Cover Image

Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dhar, Sandipan, Akhter, Md. Tousin, Jana, Nanda Dulal, Das, Swagatam
Format:	Preprint
Published:	2025
Subjects:	Sound Artificial Intelligence Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
by: Dhar, Sandipan, et al.
Published: (2025)

LAPS-Diff: A Diffusion-Based Framework for Singing Voice Synthesis With Language Aware Prosody-Style Guided Learning
by: Dhar, Sandipan, et al.
Published: (2025)

Discrete Optimal Transport and Voice Conversion
by: Selitskiy, Anton, et al.
Published: (2025)

Voice Conversion-based Privacy through Adversarial Information Hiding
by: Webber, Jacob J, et al.
Published: (2024)

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training
by: Yao, Wenhan, et al.
Published: (2025)

Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals
by: Seki, Kentaro, et al.
Published: (2024)

RobustSVC: HuBERT-based Melody Extractor and Adversarial Learning for Robust Singing Voice Conversion
by: Chen, Wei, et al.
Published: (2024)

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics
by: Kameoka, Hirokazu, et al.
Published: (2020)

Vocoder-Free Non-Parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative Adversarial Networks
by: Wagner, Dominik, et al.
Published: (2023)

Generating Novel and Realistic Speakers for Voice Conversion
by: Chen, Meiying Melissa, et al.
Published: (2025)

MK-SGC-SC: Multiple Kernel Guided Sparse Graph Construction in Spectral Clustering for Unsupervised Speaker Diarization
by: Raghav, Nikhil, et al.
Published: (2026)

TCG CREST System Description for the Second DISPLACE Challenge
by: Raghav, Nikhil, et al.
Published: (2024)

Voice-ENHANCE: Speech Restoration using a Diffusion-based Voice Conversion Framework
by: Byun, Kyungguen, et al.
Published: (2025)

ZSVC: Zero-shot Style Voice Conversion with Disentangled Latent Diffusion Models and Adversarial Training
by: Zhu, Xinfa, et al.
Published: (2025)

Pureformer-VC: Non-parallel One-Shot Voice Conversion with Pure Transformer Blocks and Triplet Discriminative Training
by: Yao, Wenhan, et al.
Published: (2024)

Neural Concatenative Singing Voice Conversion: Rethinking Concatenation-Based Approach for One-Shot Singing Voice Conversion
by: Sha, Binzhu, et al.
Published: (2023)

DualVC 2: Dynamic Masked Convolution for Unified Streaming and Non-Streaming Voice Conversion
by: Ning, Ziqian, et al.
Published: (2023)

StreamVoice+: Evolving into End-to-end Streaming Zero-shot Voice Conversion
by: Wang, Zhichao, et al.
Published: (2024)

SOVA-Bench: Benchmarking the Speech Conversation Ability for LLM-based Voice Assistant
by: Hou, Yixuan, et al.
Published: (2025)

Leveraging Diverse Semantic-based Audio Pretrained Models for Singing Voice Conversion
by: Zhang, Xueyao, et al.
Published: (2023)

Optimal Transport Maps are Good Voice Converters
by: Asadulaev, Arip, et al.
Published: (2024)

LatentVoiceGrad: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching Models
by: Kameoka, Hirokazu, et al.
Published: (2025)

Zero-Shot Sing Voice Conversion: built upon clustering-based phoneme representations
by: Zhou, Wangjin, et al.
Published: (2024)

EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data
by: Prabhu, Navin Raj, et al.
Published: (2023)

OneVoice: One Model, Triple Scenarios-Towards Unified Zero-shot Voice Conversion
by: Wang, Zhichao, et al.
Published: (2026)

Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion Model
by: Du, Zongyang, et al.
Published: (2024)

Enhancing Polyglot Voices by Leveraging Cross-Lingual Fine-Tuning in Any-to-One Voice Conversion
by: Ruggiero, Giuseppe, et al.
Published: (2024)

Residual Speaker Representation for One-Shot Voice Conversion
by: Xu, Le, et al.
Published: (2023)

StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion
by: Wang, Zhichao, et al.
Published: (2024)

Does Your Voice Assistant Remember? Analyzing Conversational Context Recall and Utilization in Voice Interaction Models
by: Kim, Heeseung, et al.
Published: (2025)

RAVE for Speech: Efficient Voice Conversion at High Sampling Rates
by: Bargum, Anders R., et al.
Published: (2024)

Self-Tuning Spectral Clustering for Speaker Diarization
by: Raghav, Nikhil, et al.
Published: (2024)

Where's That Voice Coming? Continual Learning for Sound Source Localization
by: Xiao, Yang, et al.
Published: (2024)

Disentangling the Prosody and Semantic Information with Pre-trained Model for In-Context Learning based Zero-Shot Voice Conversion
by: Chen, Zhengyang, et al.
Published: (2024)

VC-ENHANCE: Speech Restoration with Integrated Noise Suppression and Voice Conversion
by: Byun, Kyungguen, et al.
Published: (2024)

An Extensive Analysis of the Singing Voice Conversion Challenge 2025 Evaluation Results
by: Violeta, Lester Phillip, et al.
Published: (2025)

End-to-End Zero-Shot Voice Conversion with Location-Variable Convolutions
by: Kang, Wonjune, et al.
Published: (2022)

SRC4VC: Smartphone-Recorded Corpus for Voice Conversion Benchmark
by: Saito, Yuki, et al.
Published: (2024)

FreeSVC: Towards Zero-shot Multilingual Singing Voice Conversion
by: Ferreira, Alef Iury Siqueira, et al.
Published: (2025)

Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion
by: Chen, Yun, et al.
Published: (2023)