{"id":367,"date":"2019-03-18T13:47:00","date_gmt":"2019-03-18T13:47:00","guid":{"rendered":"http:\/\/qxlab.ucd.ie\/?page_id=367"},"modified":"2019-03-18T13:47:00","modified_gmt":"2019-03-18T13:47:00","slug":"tcd-voip-dataset","status":"publish","type":"page","link":"https:\/\/qxlab.ucd.ie\/index.php\/tcd-voip-dataset\/","title":{"rendered":"TCD-VoIP Dataset"},"content":{"rendered":"

TCD-VoIP: <\/strong>This dataset for\u00a0Wideband VoIP Speech Quality Evaluation was developed during my time at the Sigmedia<\/a> lab at Trinity College Dublin.<\/p>\n

Download Dataset zip<\/strong><\/a>\u00a0(250MB)<\/p>\n

Email resources-tcdvoip [a] mee.tcd.ie with “tcdvoip password” as the subject to retrieve password of zip file.<\/p>\n

Please reference the following paper in any publications where you use the dataset:<\/p>\n

N. Harte, E.Gillen, A. Hines. TCD-VoIP, a Research Database of Degraded Speech for Assessing Quality in VoIP Applications. In Quality of Multimedia Experience (QoMEX), Seventh International Workshop on, Costa Navarino, Greece, 2015.<\/a>\u00a0<\/a><\/p>\n

There are many types of degradation which can occur in Voice over IP calls. Degradations which occur independently of the codec, hardware, or network in use are the focus of this dataset. \u00a0The development of new quality metrics for modern communication systems depends heavily on the availability of suitable test and development data with subjective quality scores. A new dataset of VoIP degradations (TCD-VoIP) has been created and is available here. The dataset contains speech samples with a range of common VoIP degradations, and the corresponding set of subjective opinion scores from 24 listeners.<\/p>\n

Summary of Degradations and Parameters used in TCD-VoIP<\/p>\n\n\n\n\n\n\n\n\n\n
Degradation\u00a0<\/strong><\/td>\nConditions<\/strong><\/td>\nParameters\u00a0<\/strong><\/td>\nRange<\/strong><\/td>\n<\/tr>\n
Chop<\/td>\n20<\/td>\nRatePeriodMode<\/td>\n\u00a00-6 chops\/s0.02-0.04 sInsert, Delete, Overwrite<\/td>\n<\/tr>\n
Clip<\/td>\n10<\/td>\n\u00a0Multiplier<\/td>\n\u00a01-55<\/td>\n<\/tr>\n
Competing Speaker<\/td>\n10<\/td>\n\u00a0Gender codeSNR<\/td>\n\u00a01-510-50 dB<\/td>\n<\/tr>\n
Echo<\/td>\n20<\/td>\n<\/td>\n\u00a00-0.50-220 ms<\/td>\n<\/tr>\n
Noise<\/td>\n20<\/td>\n\u00a0Noise TypeSNR<\/td>\n\u00a0Car, Street, Office, Babble5-55 dB<\/td>\n<\/tr>\n
MNRU<\/td>\n4<\/td>\n\u00a0SNR (Q)<\/td>\n\u00a048, 36, 24, 12<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n