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>