{"total":22,"rows":[{"id":"2401.17230","title":"ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models","created":"2024-01-30","cited_by_count":22,"area":null},{"id":"2401.17133","title":"SongBsAb: A Dual Prevention Approach against Singing Voice Conversion based Illegal Song Covers","created":"2024-01-30","cited_by_count":5,"area":null},{"id":"2407.07728","title":"SaMoye: Zero-shot Singing Voice Conversion Model Based on Feature Disentanglement and Enhancement","created":"2024-07-10","cited_by_count":5,"area":null},{"id":"2508.16332","title":"Vevo2: A Unified and Controllable Framework for Speech and Singing Voice Generation","created":"2025-08-22","cited_by_count":5,"area":null},{"id":"2512.04779","title":"YingMusic-Singer: Zero-shot Singing Voice Synthesis and Editing with Annotation-free Melody Guidance","created":"2025-12-04","cited_by_count":5,"area":null},{"id":"2411.02402","title":"Optimal Transport Maps are Good Voice Converters","created":"2024-10-17","cited_by_count":4,"area":null},{"id":"2501.13372","title":"Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement","created":"2025-01-23","cited_by_count":3,"area":null},{"id":"2507.02176","title":"Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis","created":"2025-07-02","cited_by_count":3,"area":null},{"id":"2310.05203","title":"A Comparative Study of Voice Conversion Models with Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023","created":"2023-10-08","cited_by_count":2,"area":null},{"id":"2409.03715","title":"Applications and Advances of Artificial Intelligence in Music Generation:A Review","created":"2024-09-03","cited_by_count":2,"area":null},{"id":"2409.08583","title":"LHQ-SVC: Lightweight and High Quality Singing Voice Conversion Modeling","created":"2024-09-13","cited_by_count":2,"area":null},{"id":"2508.05978","title":"DAFMSVC: One-Shot Singing Voice Conversion with Dual Attention Mechanism and Flow Matching","created":"2025-08-08","cited_by_count":2,"area":null},{"id":"2502.04722","title":"Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features","created":"2025-02-07","cited_by_count":1,"area":null},{"id":"2504.05686","title":"kNN-SVC: Robust Zero-Shot Singing Voice Conversion with Additive Synthesis and Concatenation Smoothness Optimization","created":"2025-04-08","cited_by_count":1,"area":null},{"id":"2512.07005","title":"Multi-Accent Mandarin Dry-Vocal Singing Dataset: Benchmark for Singing Accent Recognition","created":"2025-12-07","cited_by_count":1,"area":null},{"id":"2402.01520","title":"Low-Resource Cross-Domain Singing Voice Synthesis via Reduced Self-Supervised Speech Representations","created":"2024-02-02","cited_by_count":0,"area":null},{"id":"2403.06100","title":"Automatic design optimization of preference-based subjective evaluation with online learning in crowdsourcing environment","created":"2024-03-10","cited_by_count":0,"area":null},{"id":"2405.00248","title":"Who is Authentic Speaker","created":"2024-04-30","cited_by_count":0,"area":null},{"id":"2408.02712","title":"Automatic Voice Identification after Speech Resynthesis using PPG","created":"2024-08-05","cited_by_count":0,"area":null},{"id":"2409.14131","title":"Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models","created":"2024-09-21","cited_by_count":0,"area":null},{"id":"2512.06304","title":"Degrading Voice: A Comprehensive Overview of Robust Voice Conversion Through Input Manipulation","created":"2025-12-06","cited_by_count":0,"area":null},{"id":"2604.05526","title":"Controllable Singing Style Conversion with Boundary-Aware Information Bottleneck","created":"2026-04-07","cited_by_count":0,"area":null}],"next_cursor":null}