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20172025
most citedThe Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track

26 citations · 189 across the 40 of their papers we have counts for

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cs.SD2025

Schrödinger Bridge Consistency Trajectory Models for Speech Enhancement

Shuichiro Nishigori, Koichi Saito, Naoki Murata +3

Speech enhancement (SE) utilizing diffusion models is a promising technology that improves speech quality in noisy speech data. Furthermore, the Schrödinger bridge (SB) has recentl…

cs.SD2024

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch

Sungho Lee, Marco Martínez-Ramírez, Wei-Hsiang Liao +4

We present GRAFX, an open-source library designed for handling audio processing graphs in PyTorch. Along with various library functionalities, we describe technical details on the…

cs.SD2024★ 18 cited

SilentCipher: Deep Audio Watermarking

Mayank Kumar Singh, Naoya Takahashi, Weihsiang Liao +1

In the realm of audio watermarking, it is challenging to simultaneously encode imperceptible messages while enhancing the message capacity and robustness. Although recent advanceme…

cs.SD2023

Zero- and Few-shot Sound Event Localization and Detection

Kazuki Shimada, Kengo Uchida, Yuichiro Koyama +4

Sound event localization and detection (SELD) systems estimate direction-of-arrival (DOA) and temporal activation for sets of target classes. Neural network (NN)-based SELD systems…

cs.SD2023★ 1 cited

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network

Takashi Shibuya, Yuhta Takida, Yuki Mitsufuji

Generative adversarial network (GAN)-based vocoders have been intensively studied because they can synthesize high-fidelity audio waveforms faster than real-time. However, it has b…

cs.SD2023★ 3 cited

Automatic Piano Transcription with Hierarchical Frequency-Time Transformer

Keisuke Toyama, Taketo Akama, Yukara Ikemiya +3

Taking long-term spectral and temporal dependencies into account is essential for automatic piano transcription. This is especially helpful when determining the precise onset and o…