10.15131/shef.data.3363466.v1
Oscar Saz Torralba
Oscar
Saz Torralba
Thomas Hain
Thomas
Hain
Factored WSJCAM0 Speech Corpus
The University of Sheffield
2016
Automatic Speech Recognition
Robustness
Factorization
Signal Processing
Artificial Intelligence and Image Processing
Computer-Human Interaction
Natural Language Processing
Pattern Recognition and Data Mining
2016-06-02 15:14:05
Media
https://orda.shef.ac.uk/articles/media/Factored_WSJCAM0_Speech_Corpus/3363466
<p>This version of the WSJCAM0 corpus has augmented variability in 4
factors: speaker; channel; background and Signal-to-Noise Ratio (SNR).
It has been created by the University of Sheffield for experiments in
robustness and factorisation under non-stationary noise conditions. The
corpus was developed as part of the Natural Speech Technology programme
grant (EP/I031022/1). Files are single-channel WAVE format, sampled at
16kHz and with a bit depth of 16 bits.</p>
<p>In order to obtain this corpus, you are required to have a valid
licence of the original WSJCAM0 corpus from LDC (catalog number
LDC95S24). Please contact Thomas Hain (T.Hain@sheffield.ac.uk) if you want to use this corpus
for your research.</p>