Daniele Colibro

Daniele Colibro
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Main area of research

Daniele Colibro is a Principal Researcher on the Voice Biometrics team. His research interest is in the area of biometrics.

Before coming to Nuance, Daniele joined Loquendo in 2001 following an internship at CSELT. With 15 years’ experience in voice biometrics and automatic speech recognition (ASR), Daniele has covered a broad area of topics and applications, such as speaker recognition and segmentation; ASR acoustical models training and confidence algorithms; and the creation of prototypes for word spotting, VDE recognition, medical dictation, and speaker clustering and face recognition. Daniele’s passion lies in programing, and he loves to design and implement high-quality software. He also has more than 20 published papers in conferences and journals, as well as eight issued patents. Daniele attended Politecnico di Torino, Italy, where he received an M.S. in Computer Engineering and a Master in Telecommunications degree.

Selected articles

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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Loquendo-Politecnico Di Torino system for the 2009 NIST language recognition evaluation

This paper describes the system submitted by Loquendo and Politecnico di Torino (LPT) for the 2009 NIST Language Recognition Evaluation. The system is a combination

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Compensation of nuisance factors for speaker and language recognition

The variability of the channel and environment is one of the most important factors affecting the performance of text-independent speaker verification systems. The best techniques

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Stream-based speaker segmentation using speaker factors and eigenvoices

This paper presents a stream-based approach for unsupervised multi-speaker conversational speech segmentation. The main idea of this work is to exploit prior knowledge about the

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