Kevin Farrell

Kevin Farrell
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Main area of research
Biometrics

Kevin Farrell is the Manager of the voice biometrics research team. His research interest is in the area of biometrics. Prior to arriving at Nuance, he worked at Scansoft, Speechworks, T-NETIX, SpeakEZ, and AT&T Bell Laboratories. Kevin also held a post-doctorate research position at Rutgers University. For the past 25 years, Kevin has worked within the voice biometrics field, focusing on the commercial use of this technology. He has been involved in all facets of voice biometrics, including research, algorithm design and implementation, API design, digital signal processor programming, customer deployment and tuning, and overall best practices. Kevin’s main research interests lie in data fusion, model adaptation, and neural network applications within speaker recognition. He is the author of more than 30 publications, including journal articles, conference proceedings, and invited book chapters, as well as nine issued patents. Kevin received B.S., M.S., and Ph.D. degrees in Electrical Engineering from Rutgers University.

Selected articles

Voice in the user interface

Interacting with voice-based interfaces on a broad variety of devices spanning smartphones, tablets, TVs, cars, and kiosks is becoming a routine part of daily life.

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Nuance – Politecnico di Torino’s 2012 NIST speaker recognition evaluation system

This paper describes the Nuance-Politecnico di Torino (NPT) speaker recognition system submitted to the NIST SRE12 evaluation campaign. Included are the results of post-evaluation tests,

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Speaker recognition – general classifier approaches and data fusion methods

Speaker recognition refers to the concept of recognizing a speaker by his/her voice or speech samples. Some of the important applications of speaker recognition include

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