VCTR: A Transformer-Based Model for Non-parallel Voice Conversion
Fuente:
arXiv
Saved in:
| Main Author: | Saikia, Maharnab |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training
by: Yao, Wenhan, et al.
Published: (2025)
by: Yao, Wenhan, 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)
by: Yao, Wenhan, et al.
Published: (2024)
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion
by: Dhar, Sandipan, et al.
Published: (2025)
by: Dhar, Sandipan, et al.
Published: (2025)
Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals
by: Seki, Kentaro, et al.
Published: (2024)
by: Seki, Kentaro, et al.
Published: (2024)
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics
by: Kameoka, Hirokazu, et al.
Published: (2020)
by: Kameoka, Hirokazu, et al.
Published: (2020)
Zero-shot Voice Conversion with Diffusion Transformers
by: Liu, Songting
Published: (2024)
by: Liu, Songting
Published: (2024)
Poly-SVC: Polyphony-Aware Singing Voice Conversion with Harmonic Modeling
by: Geng, Chen, et al.
Published: (2026)
by: Geng, Chen, et al.
Published: (2026)
Neural Concatenative Singing Voice Conversion: Rethinking Concatenation-Based Approach for One-Shot Singing Voice Conversion
by: Sha, Binzhu, et al.
Published: (2023)
by: Sha, Binzhu, et al.
Published: (2023)
AVENet: Disentangling Features by Approximating Average Features for Voice Conversion
by: Wang, Wenyu, et al.
Published: (2025)
by: Wang, Wenyu, et al.
Published: (2025)
LatentVoiceGrad: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching Models
by: Kameoka, Hirokazu, et al.
Published: (2025)
by: Kameoka, Hirokazu, et al.
Published: (2025)
OneVoice: One Model, Triple Scenarios-Towards Unified Zero-shot Voice Conversion
by: Wang, Zhichao, et al.
Published: (2026)
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)
by: Du, Zongyang, et al.
Published: (2024)
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
by: Neekhara, Paarth, et al.
Published: (2023)
by: Neekhara, Paarth, et al.
Published: (2023)
Does Your Voice Assistant Remember? Analyzing Conversational Context Recall and Utilization in Voice Interaction Models
by: Kim, Heeseung, et al.
Published: (2025)
by: Kim, Heeseung, et al.
Published: (2025)
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion
by: Wang, Zhichao, et al.
Published: (2024)
by: Wang, Zhichao, 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)
by: Prabhu, Navin Raj, et al.
Published: (2023)
DualVC 2: Dynamic Masked Convolution for Unified Streaming and Non-Streaming Voice Conversion
by: Ning, Ziqian, et al.
Published: (2023)
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)
by: Wang, Zhichao, et al.
Published: (2024)
Generating Novel and Realistic Speakers for Voice Conversion
by: Chen, Meiying Melissa, et al.
Published: (2025)
by: Chen, Meiying Melissa, et al.
Published: (2025)
Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion
by: Akti, Seymanur, et al.
Published: (2025)
by: Akti, Seymanur, et al.
Published: (2025)
Voice-ENHANCE: Speech Restoration using a Diffusion-based Voice Conversion Framework
by: Byun, Kyungguen, et al.
Published: (2025)
by: Byun, Kyungguen, et al.
Published: (2025)
FasterVoiceGrad: Faster One-step Diffusion-Based Voice Conversion with Adversarial Diffusion Conversion Distillation
by: Kaneko, Takuhiro, et al.
Published: (2025)
by: Kaneko, Takuhiro, et al.
Published: (2025)
FabasedVC: Enhancing Voice Conversion with Text Modality Fusion and Phoneme-Level SSL Features
by: Wang, Wenyu, et al.
Published: (2025)
by: Wang, Wenyu, et al.
Published: (2025)
Multichannel Voice Trigger Detection Based on Transform-average-concatenate
by: Higuchi, Takuya, et al.
Published: (2023)
by: Higuchi, Takuya, et al.
Published: (2023)
Self Voice Conversion as an Attack against Neural Audio Watermarking
by: Özer, Yigitcan, et al.
Published: (2026)
by: Özer, Yigitcan, et al.
Published: (2026)
Enhancing Expressive Voice Conversion with Discrete Pitch-Conditioned Flow Matching Model
by: Zuo, Jialong, et al.
Published: (2025)
by: Zuo, Jialong, et al.
Published: (2025)
Leveraging Diverse Semantic-based Audio Pretrained Models for Singing Voice Conversion
by: Zhang, Xueyao, et al.
Published: (2023)
by: Zhang, Xueyao, et al.
Published: (2023)
SingIt! Singer Voice Transformation
by: Eliav, Amit, et al.
Published: (2024)
by: Eliav, Amit, 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)
by: Ruggiero, Giuseppe, et al.
Published: (2024)
Residual Speaker Representation for One-Shot Voice Conversion
by: Xu, Le, et al.
Published: (2023)
by: Xu, Le, et al.
Published: (2023)
CoDiff-VC: A Codec-Assisted Diffusion Model for Zero-shot Voice Conversion
by: Li, Yuke, et al.
Published: (2024)
by: Li, Yuke, et al.
Published: (2024)
Text-Driven Voice Conversion via Latent State-Space Modeling
by: Li, Wen, et al.
Published: (2025)
by: Li, Wen, et al.
Published: (2025)
LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance
by: Chen, Shihao, et al.
Published: (2024)
by: Chen, Shihao, et al.
Published: (2024)
LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency Distillation
by: Chen, Shihao, et al.
Published: (2024)
by: Chen, Shihao, et al.
Published: (2024)
StyleStream: Real-Time Zero-Shot Voice Style Conversion
by: Liu, Yisi, et al.
Published: (2026)
by: Liu, Yisi, et al.
Published: (2026)
Discrete Optimal Transport and Voice Conversion
by: Selitskiy, Anton, et al.
Published: (2025)
by: Selitskiy, Anton, et al.
Published: (2025)
NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion
by: Du, Zongyang, et al.
Published: (2025)
by: Du, Zongyang, et al.
Published: (2025)
Voice Conversion-based Privacy through Adversarial Information Hiding
by: Webber, Jacob J, et al.
Published: (2024)
by: Webber, Jacob J, et al.
Published: (2024)
RAVE for Speech: Efficient Voice Conversion at High Sampling Rates
by: Bargum, Anders R., et al.
Published: (2024)
by: Bargum, Anders R., et al.
Published: (2024)
ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization
by: Ren, Pengyu, et al.
Published: (2025)
by: Ren, Pengyu, et al.
Published: (2025)
Similar Items
-
Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training
by: Yao, Wenhan, 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) -
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion
by: Dhar, Sandipan, et al.
Published: (2025) -
Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals
by: Seki, Kentaro, et al.
Published: (2024) -
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics
by: Kameoka, Hirokazu, et al.
Published: (2020)