ASVspoof 2019 LA Listening Test Data for Partial Rank Similarity MOS Prediction

<p>This dataset is a derivitave work of the ASVSpoof 2019 LA condition listening test data found here:<br> https://datashare.ed.ac.uk/handle/10283/3336<br> -&gt; LA.zip</p> <p>&quot;ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech&quot;&nbsp;<br> Xin Wang, Junichi Yamagishi, Massimiliano Todisco, H&eacute;ctor Delgado, Andreas Nautsch, Nicholas Evans, Md Sahidullah, Ville Vestman, Tomi Kinnunen, Kong Aik Lee, Lauri Juvela, Paavo Alku, Yu-Huai Peng, Hsin-Te Hwang, Yu Tsao, Hsin-Min Wang, S&eacute;bastien Le Maguer, Markus Becker, Fergus Henderson, Rob Clark, Yu Zhang, Quan Wang, Ye Jia, Kai Onuma, Koji Mushika, Takashi Kaneda, Yuan Jiang, Li-Juan Liu, Yi-Chiao Wu, Wen-Chin Huang, Tomoki Toda, Kou Tanaka, Hirokazu Kameoka, Ingmar Steiner, Driss Matrouf, Jean-Fran&ccedil;ois Bonastre, Avashna Govender, Srikanth Ronanki, Jing-Xuan Zhang, Zhen-Hua Ling.<br> Computer Speech and Language Colume 64, 2020.</p> <p>This form of the data was used for the PRS paper accepted to ASRU 2023:</p> <p>&quot;Partial Rank Similarity Minimization Method for Quality MOS Prediction of&nbsp;<br> Unseen Speech Synthesis Systems in Zero-shot and Semi-supervised Setting.&quot;<br> Hemant Yadav, Erica Cooper, Junichi Yamagishi, Sunayana Sitaram, Rajiv Ratn Shah.</p> <p>Modifications to the original data include converting audio from flac -&gt; wav, sv56 normalization,&nbsp;conversion of labels from an 0-9 rating scale to a 1-5 scale, and creation of training/development/testing splits.</p>