66 citations · 459 across the 125 of their papers we have counts for
133 papers
High-Order Sinusoidal Modeling for Precise Parameter Refinement
Shaowen Chen, Tomoki Toda
Although the amplitude estimation of sinusoids is a linear and tractable problem when their frequencies are known, the accuracy of signal modeling is fundamentally limited by the i…
Multimodal Contrastive Representation Learning Based Voice Conversion for Electrolaryngeal Speech Enhancement
Ding Ma, Jinyi Mi, Jiajun He +3
Electrolaryngeal (EL) speech suffers from severe acoustic mismatches with normal speech, resulting in degraded naturalness and intelligibility. These mismatches also make sequence-…
NeuMark-Native: Robust Text-to-Speech-Native Watermarking Through Full Utilization of Neural Audio Codec Latent Space
Annan Wu, Wen-Chin Huang, Tomoki Toda
Speech watermarking offers proactive traceability for synthetic speech, yet most existing models operate only after text-to-speech (TTS) synthesis by adding a watermark perturbatio…
Leveraging LLM-Generated Explanations for Detecting Emotionally Rewritten Fake News
Yupei Guo, Jiajun He, Xiaohan Shi +4
The spread of fake news may cause severe social consequences. Existing fake news detection methods mainly focus on stylistic variations or incorporate external information such as…
NeuMark: Neural Codec Resynthesis-Robust Audio Watermarking in the Codec Latent Space
Annan Wu, Wen-Chin Huang, Tomoki Toda
Audio watermarking is increasingly important for tracing generated speech. Several audio watermarking methods have been proposed to embed the watermark in various domains, such as…
ART-NAD: An Articulatory Inversion-based Neural Acoustic Distance for Pathological Speech Intelligibility Assessment
Bence Mark Halpern, Thomas Tienkamp, Defne Abur +1
Speech assessment tools for speakers with speech pathology must be both accurate and interpretable if they are to be adopted in clinical practice. Existing reference-audio measures…