The NIST Year 2012 Speaker Recognition Evaluation Plan 1 I

Citations in the corpus

• VoxCeleb2: Deep Speaker Recognition (2018, background): “…ther obtained under controlled conditions (e.g., from telephone calls [29, 30] or acoustic laboratories [31, 32, 33]), (ii) they are manually annotated and hence limited in size [8], or (iii) not freely available to the speaker community [34, 33] (see [7] for a full review of existing datasets).”
• VoxCeleb: A Large-Scale Speaker Identification Dataset (2017, methodology): “ELSDSR [26] Clean Speech 22 198 MIT Mobile [21] Mobile Devices - 88 7,884 SWB [27] Telephony - 3,114 33,039 POLYCOST [17] Telephony - 133 1,285 ‡ ICSI Meeting Corpus [23] Meetings - 53 922 Forensic Comparison [22] Telephony 552 1,264 ANDOSL [18] Clean speech - 204 33,900 TIMIT [28] † Clean speech - ”