Diego Castán
Advanced Computer Scientist, Speech Technology and Research Laboratory
Diego Castán, Ph.D., has research interests in multimedia event detection, audio content analysis, audio segmentation and speech activity detection.
At SRI, Castán is contributing to SRI’s Language Identification and Speaker Identification systems for the Defense Advanced Research Projects Agency (DARPA) Robust Automatic Transcription of Speech (RATS) program. He was actively involved in the multimedia event detection task for the Intelligence Advanced Research Projects Activity (IARPA) Automated Low-Level Analysis and Description of Diverse Intelligence Video (ALADDIN) program as international fellow during 2012.
Prior to joining SRI, Castán was a postdoctoral researcher at the University of Zaragoza, where he focused on speech activity detection and acoustic concepts recognition.
Castán has published more than 15 papers in the field of speech technologies. View selected publications on Google Scholar.
Recent publications
Toward Fail-Safe Speaker Recognition: Trial-Based Calibration with a Reject Option
Mitchell McLaren, Diego Castán, Aaron Lawson, Mahesh Nandwana
January 1, 2019
Analysis of Complementary Information Sources in the Speaker Embeddings Framework
Mahesh Nandwana, Mitchell McLaren, Diego Castán, Julien van Hout, Aaron Lawson
Conference Proceeding September 2018
Approaches to multi-domain language recognition
Mitchell McLaren, Mahesh Nandwana, Diego Castán
Conference Proceeding June 2018
