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Author

Kanad Sarkar

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2 papers indexed here

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Aug 2026

Causal adaptive time-frequency analysis via Bayesian universal switching and time-domain aliasing

The short-time Fourier transform (STFT) is fundamentally limited by the Gabor uncertainty principle, requiring a global compromise between time and frequency resolution. Fixed-window analyses often obscure transient events with long windows or blur spectral features with short windows. This work presents the “Universal...

Manan Mittal, Kanad Sarkar, R. Corey et al. · 0 citations
#machine learning Preprint Sep 2026

P2Flow: Phoneme-aware Progressive Flow Matching for Extreme Speech Super-Resolution

P2Flow is introduced, a phoneme-aware progressive flow matching (FM) framework designed for extreme SSR with three main strategies, which leverages phonetic information to reconstruct missing spectral components and employs a progressive architectural design that hierarchically restores distinct frequency regions.

Ning Yang, Yi-Ze Li, Pu Zhao et al. · 0 citations

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