158 citations · 303 across the 76 of their papers we have counts for
12 papers · 1 filter
From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology
Haoyang Li, Yuchen Hu, Chen Chen +3
Deep neural network (DNN)-based speech enhancement (SE) usually uses conventional activation functions, which lack the expressiveness to capture complex multiscale structures neede…
Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition
Chao-Han Huck Yang, Taejin Park, Yuan Gong +18
Given recent advances in generative AI technology, a key question is how large language models (LLMs) can enhance acoustic modeling tasks using text decoding results from a frozen,…
DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applications
Sathya Krishnan Suresh, Wu Mengjun, Tushar Pranav +1
The scarcity of domain-specific dialogue datasets limits the development of dialogue systems across applications. Existing research is constrained by general or niche datasets that…
LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation
Hieu-Thi Luong, Haoyang Li, Lin Zhang +2
Previous fake speech datasets were constructed from a defender's perspective to develop countermeasure (CM) systems without considering diverse motivations of attackers. To better…
NPU-NTU System for Voice Privacy 2024 Challenge
Jixun Yao, Nikita Kuzmin, Qing Wang +6
Speaker anonymization is an effective privacy protection solution that conceals the speaker's identity while preserving the linguistic content and paralinguistic information of the…
Robust Zero-Shot Text-to-Speech Synthesis with Reverse Inference Optimization
Yuchen Hu, Chen Chen, Siyin Wang +2
In this paper, we propose reverse inference optimization (RIO), a simple and effective method designed to enhance the robustness of autoregressive-model-based zero-shot text-to-spe…