Papers
ReFlow-VC: Zero-shot Voice Conversion Based on Rectified Flow and Speaker Feature Optimization
Pengyu Ren, Wenhao Guan, Kaidi Wang et al.
Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice Conversion
Kaidi Wang, Wenhao Guan, Ziyue Jiang et al.
E2E-BPVC: End-to-End Background-Preserving Voice Conversion via In-Context Learning
Yihan Liu, Zhengyang Chen, Leying Zhang et al.
Training-Free Voice Conversion with Factorized Optimal Transport
Alexander Lobashev, Assel Yermekova, Maria Larchenko
REWIND: Speech Time Reversal for Enhancing Speaker Representations in Diffusion-based Voice Conversion
Ishan D. Biyani, Nirmesh J. Shah, Ashishkumar P. Gudmalwar et al.
Voice Conversion for Likability Control via Automated Rating of Speech Synthesis Corpora
Hitoshi Suda, Shinnosuke Takamichi, Satoru Fukayama
Towards Better Disentanglement in Non-Autoregressive Zero-Shot Expressive Voice Conversion
Şeymanur Akti, Tuan-Nam Nguyen, Alexander Waibel
Evaluating Speech Enhancement Performance Across Demographics and Language
Jose Giraldo, Alex Peiró-Lilja, Carme Armentano-Oller et al.
On the Language and Gender Biases in PSTN, VoIP and Neural Audio Codecs
Kemal Altwlkany, Amar Kuric, Emanuel Lacic
FaiST: A Benchmark Dataset for Fairness in Speech Technology
Maliha Jahan, Yinglun Sun, Priyam Mazumdar et al.
The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages
Chris Emezue, The NaijaVoices Community, Busayo Awobade et al.
Unified Microphone Conversion: Many-to-Many Device Mapping via Feature-wise Linear Modulation
Myeonghoon Ryu, Hongseok Oh, Suji Lee et al.
Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification
Emiliano Acevedo, Martín Rocamora, Magdalena Fuentes
Beyond Conventional Metrics: using Entropic Triangles to Explain Balancing Methods in Acoustic Scene Classification
Claudia Montero-Ramírez, Alba Martínez-Serrano, Jorge Garcelán-Gómez et al.
Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier
Yongjie Si, Yanxiong Li, Jiaxin Tan et al.
Multi-view Fusion and Parameter Perturbation for Few-Shot Class-Incremental Audio Classification
Yulu Fang, Mingyue He, Qisheng Xu et al.
Training Onset-and-Offset-Aware Sound Event Detection on a Heterogeneous Dataset via Probabilistic Sequential Modeling
Tomoya Yoshinaga, Yoshiaki Bando, Keitaro Tanaka et al.
Creaky Voice Facilitates More Efficient Phonological Processing of Mandarin Tone 3
Zixia Fan, Ronny Ibrahim, Joshua Penney et al.
Characterization of voice cue sensitivity and vocal emotion recognition across the adult lifespan
Laura Rachman, Deniz Başkent
Language and Accent Familiarity Effects on the Use of Acoustic Cues in Talker Identification
Shengyue Xiong, Zhe-chen Guo, Bharath Chandrasekaran
Prediction of listening effort ratings for habitual and clear-Lombard speech presented in noise
Esther Janse, Chen Shen, Martin Cooke
Speech stimulus design to study the neural coding of speech and the impact of cochlear synaptopathy
Etienne Gaudrain, Sarah Verhulst, Deniz Başkent
Multitalker Babble in English Vowel Perception Training: A Comparison between Humans and Neural Models
Wenwei Dong, Alif Silpachai, Catia Cucchiarini et al.
Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control
Yunkee Chae, Eunsik Shin, Suntae Hwang et al.
Simple and Effective Content Encoder for Singing Voice Conversion via SSL-Embedding Dimension Reduction
Wangjin Zhou, Tianjiao Du, Chenglin Xu et al.