Spectrogram Inversion for Audio Source Separation via Consistency,
Mixing, and Magnitude Constraints

v1v2 (latest)

Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints

3 March 2023

Tuomas Virtanen

ArXiv (abs)PDF HTML

Papers citing "Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints"

8 / 8 papers shown

Title
Online Phase Reconstruction via DNN-based Phase Differences Estimation Yoshiki Masuyama Kohei Yatabe Kento Nagatomo Yasuhiro Oikawa 3DV 79 8 0 12 Nov 2022
Monaural source separation: From anechoic to reverberant environments Tobias Cord-Landwehr Christoph Boeddeker Thilo von Neumann Catalin Zorila R. Doddipatla Reinhold Haeb-Umbach 39 31 0 15 Nov 2021
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Jungil Kong Jaehyeon Kim Jaekyoung Bae 179 1,947 0 12 Oct 2020
DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement Yanxin Hu Yun Liu Shubo Lv Mengtao Xing Shimin Zhang Yihui Fu Jian Wu Bihong Zhang Lei Xie 73 597 0 01 Aug 2020
Online Spectrogram Inversion for Low-Latency Audio Source Separation P. Magron Tuomas Virtanen 49 12 0 08 Nov 2019
Filterbank design for end-to-end speech separation Manuel Pariente Samuele Cornell Antoine Deleforge Emmanuel Vincent 74 69 0 23 Oct 2019
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Yi Luo N. Mesgarani 162 1,795 0 20 Sep 2018
Supervised Speech Separation Based on Deep Learning: An Overview DeLiang Wang Jitong Chen SSL 84 1,374 0 24 Aug 2017

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.