We present a novel denoising benchmark, the Darmstadt Noise Dataset (DND). It consists of 50 pairs of real noisy images and corresponding ground truth images.

A noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

The FSDnoisy18k dataset is an open dataset containing 42.5 hours of audio across 20 sound event classes, including a small amount of manually-labeled data.

Objective is to remove/suppress indoor or outdoor noises present during conversation for other person on call. Improve recording system or get rid of the noises ...

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Loud, disordered, unintelligible speech noise from many sources. 1,480 annotations in dataset. ▻. ▻.

The dataset is compiled using open domain sources. All labels resembling loud human speech were removed (but background noise, i.e. street chatter, ...

18 мар. 2021 г. · The DNC dataset contains 4377 environmental background noise recordings labeled according to the type of noise.

15 окт. 2024 г. · It can substantially improve robustness of models to noisy acoustic environments. This tutorial walks you through the process of creating a noisy dataset using ...

30 июл. 2024 г. · The datasets includes 1) the noise exposure data, 2) the noise contours data, 3) razterized noise contours data and 4) potential quiet areas ...