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MUSAN: A Music, Speech, and Noise Corpus
MUSAN is a Music, Speech, and Noise Corpus. -
NOISE dataset
The NOISE dataset is a semi-synthetic dataset constructed from the matrix A∗, where the data is generated from y = A∗x + ζ, where ζ is the noise. -
Demand database
The Demand database [30] used to create noisy conditions in the training data. -
VoiceBank DEMAND dataset
Speech enhancement dataset -
BrainWeb database
The BrainWeb database is a collection of MRI images with known noise levels. -
On the Rician distribution of noisy MRI data
The Rician distribution of noisy MRI data. -
Starting Set
The starting set consists of noise (random tiles) that is produced from a predefined distribution such as a uniform distribution. -
Gaussian Noise, Uniform Noise, Tin (C), Tin (R)
Gaussian Noise, Uniform Noise, Tin (C), Tin (R) -
VoiceBank-DEMAND
The VoiceBank-DEMAND dataset is a standard benchmark for speech denoising systems. It consists of 28 speakers with 4 signal-to-noise ratios (SNR) (15, 10, 5, and 0 dB) and... -
DNS Training Datasets
The DNS challenge provides clean speech, noise, impulse responses, and a training data synthesizer for both non-personalized and personalized DNS models. -
Exploring the Effect of Noise and Architecture on Neural Machine Translation
A dataset for exploring the effect of noise and architecture on neural machine translation.
