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We propose strategies for a state-of-the-art keyword search (KWS) system developed by the SINGA team in the context of the 2014 NIST Open Keyword Search Evaluation (OpenKWS14) using conversational Tamil provided by the IARPA Babel program. To tackle low-resource challenges and the rich morphological nature of Tamil, we present highlights of our current KWS system, including: (1) Submodular optimization...
Optimization techniques have been used for many years in the formulation and solution of computational problems arising in speech and language processing. Such techniques are found in the Baum-Welch, extended Baum-Welch (EBW), Rprop, and GIS algorithms, for example. Additionally, the use of regularization terms has been seen in other applications of sparse optimization. This paper outlines a range...
State-of-the-art speaker verification systems consists of a number of complementary subsystems whose outputs are fused, to arrive at more accurate and reliable verification decision. In speaker verification, fusion is typically implemented as a linear combination of the subsystem scores. Parameters of the linear model are commonly estimated using the logistic regression method, as implemented in the...
This paper extends our previous work on large margin estimation (LME) of GMM parameters with extend Baum-Welch (EBW) for spoken language recognition. To overcome the problem in the LME that negative samples in the training set are not used in parameter estimation, we propose a soft margin estimation (SME) method in this paper. The soft margin is scaled by a loss function measuring the distance between...
In unit selection based text-to-speech (TTS) synthesis, the accurate position of the unit boundaries in the unit selection database is one of the factors that determine the quality of the synthesized speech. To ensure the accuracy of the boundary positions, developers often have to manually verify the speech boundaries that are generated by automatic speech recognition techniques. In order to reduce...
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