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Tomoki Toda

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Preprint Sep 2026

NeuMark: Neural Codec Resynthesis-Robust Audio Watermarking in the Codec Latent Space

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 waveform, timbre feature, or latent representations, for making the embedded watermark robust against traditional digital signal processing...

An-Nan Wu, Wen-Chin Huang, Tomoki Toda · 0 citations
Preprint Sep 2026

ART-NAD: An Articulatory Inversion-based Neural Acoustic Distance for Pathological Speech Intelligibility Assessment

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 such as the Neural Acoustic Distance (NAD) reach high speaker-level correlations with listener intelligibility scores but operate on self-s...

B. Halpern, Thomas B. Tienkamp, D. Abur et al. · 0 citations
Open access Sep 2026

CTC score-based transcription quality annotation for stable text-to-speech synthesis training on noisy transcriptions

This study proposes transcription quality labels (TQL), automatically derived from connectionist temporal classification scores, and confirms that synthesis quality varies systematically with TQL values at inference, demonstrating learned quality-conditioned behavior.

Jing-Yi Feng, Yusuke Yasuda, Tomoki Toda · 0 citations
Preprint Jul 2026

Pseudo-label distillation for discriminative anomalous sound detection

Pseudo-label distillation not only transfers the performance of SSL models to a compact model but also further improves performance by leveraging available coarse labels and data augmentation.

Takuya Fujimura, Tomoki Toda · 1 citation

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