Mar 25, 2021 · In this work, we introduce SubSpectral Normalization (SSN), which splits the input frequency dimension into several groups (sub-bands) and ...
In this work, we introduce SubSpectral Normalization (SSN), which splits the input frequency dimension into several groups (sub-bands) and performs a different ...
SubSpectral Normalization (SSN) is introduced, which splits the input frequency dimension into several groups and performs a different normalization for ...
In this work, we introduce SubSpectral Normalization (SSN), which splits the input frequency dimension into several groups (sub-bands) and performs a different ...
In this work, we propose an open-source, streamable, and real-time neural audio codec that achieves strong performance along all three axes: it can reconstruct ...
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In this work, we introduce SubSpectral Normalization (SSN), which splits the input frequency dimension into several groups (sub-bands) and performs a different ...
Jun 18, 2024 · Subspectral Normalization for Neural Audio Data Processing. ICASSP 2021: 850-854. [i6]. view. electronic edition @ arxiv.org (open access) ...
Oct 25, 2022 · Hwang,. “Subspectral normalization for neural audio data process- ing,” in ICASSP 2021-2021 IEEE International Conference on. Acoustics ...
SubSpectral Normalization for Neural Audio Data Processing | ICASSP 2021 · Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization ...
In this work, we introduce SubSpectral Normalization (SSN), which splits the input frequency dimension into several groups (sub-bands) and performs a different ...