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ICASSP
2011
IEEE
12 years 11 months ago
Discriminative Training for direct minimization of deletion, insertion and substitution errors
In this paper, we follow the minimum error principle for acoustic modeling and formulate error objectives in insertion, deletion, and substitution separately for minimization duri...
Sunghwan Shin, Ho-Young Jung, Biing-Hwang Juang
ICASSP
2011
IEEE
12 years 11 months ago
Soft frame margin estimation of Gaussian Mixture Models for speaker recognition with sparse training data
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
Yan Yin, Qi Li
ICASSP
2011
IEEE
12 years 11 months ago
Pinna sensitivity patterns reveal reflecting and diffracting surfaces that generate the first spectral notch in the front median
Finite-Difference Time Domain (FDTD) acoustic simulation was used to calculate Pinna-Related Transfer Functions (PRTFs) of the KEMAR manikin's DB60 pinna. A baseline set of 2...
Parham Mokhtari, Hironori Takemoto, Ryouichi Nishi...
ICASSP
2011
IEEE
12 years 11 months ago
Discriminative training for Bayesian sensing hidden Markov models
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
George Saon, Jen-Tzung Chien
ICASSP
2011
IEEE
12 years 11 months ago
Speaker diarization of meetings based on speaker role n-gram models
Speaker diarization of meeting recordings is generally based on acoustic information ignoring that meetings are instances of conversations. Several recent works have shown that th...
Fabio Valente, Deepu Vijayasenan, Petr Motlí...