Tsang Ing Ren — accepted AI-conference papers

2017

Optimizing speaker-specific filter banks for speaker verification

Hector N. B. Pinheiro, Fernando M. P. Neto, Adriano L. I. Oliveira, Tsang Ing Ren, George D. C. Cavalcanti, André Gustavo Adami

ICASSP 2017accepted

In this work, we investigate speaker-specific filter banks for text-independent speaker verification. The proposed method performs an heuristic search for the best filter-bank configuration using the Artificial Bee Colony (ABC) algorithm and a proper fitness function for the standard i-vectors/PLDA-…

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2017

Speaker segmentation using i-vector in meetings domain

Leonardo Valeriano Neri, Hector N. B. Pinheiro, Tsang Ing Ren, George D. C. Cavalcanti, André Gustavo Adami

ICASSP 2017accepted

In this paper, we propose a speaker segmentation method for meeting audio based on i-vector. The motivation is to utilize the Total Variability (TV) framework as a feature extractor and to exploit the potential of modeling the speaker and channel variabilities for speaker segmentation in meetings. A…

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2016

Type-2 fuzzy GMM for text-independent speaker verification under unseen noise conditions

Hector N. B. Pinheiro, Sergio R. F. Vieira, Tsang Ing Ren, George D. C. Cavalcanti, Paulo S. G. de Mattos Neto

ICASSP 2016accepted

This paper describes a novel GMM-UBM based system that deals with the session noise variability problem. The system uses the Type-2 Fuzzy GMM framework by considering the speaker GMM parameters to be uncertain in an interval. The parameters intervals are estimated using a multicondition model traini…

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