EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech
Enhancement and Dereverberation

EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation

10 June 2024

Shinji Watanabe

Alexander Richard

Papers citing "EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation"

6 / 6 papers shown

Title
ICASSP 2023 Deep Noise Suppression Challenge Harishchandra Dubey A. Aazami Vishak Gopal Sergiy Matusevych Sebastian Braun ... Sefik Emre Eskimez Manthan Thakker H. Gamper Takuya Yoshioka R. Aichner 38 87 0 21 Mar 2023
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration Jean-Marie Lemercier Julius Richter Simon Welker Timo Gerkmann DiffM 56 35 0 04 Nov 2022
A Survey on Neural Speech Synthesis Xu Tan Tao Qin Frank Soong Tie-Yan Liu AI4TS 43 355 0 29 Jun 2021
NeMo: a toolkit for building AI applications using Neural Modules Oleksii Kuchaiev Jason Chun Lok Li Huyen Nguyen Oleksii Hrinchuk Ryan Leary ... Jack Cook P. Castonguay Mariya Popova Jocelyn Huang Jonathan M. Cohen 221 300 0 14 Sep 2019
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Yi Luo N. Mesgarani 116 1,772 0 20 Sep 2018
Supervised Speech Separation Based on Deep Learning: An Overview DeLiang Wang Jitong Chen SSL 45 1,359 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.