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Recent research on end-to-end training structures for language identification has raised the possibility that intermediate language-sensitive feature units exist which are analogous to phonetically sensitive senones in automatic speech recognition systems. Termed language identification (LID)-senones, the statistics derived from these feature units have been shown to be beneficial in discriminating...
Effective representation plays an important role in automatic spoken language identification (LID). Recently, several representations that employ a pre-trained deep neural network (DNN) as the front-end feature extractor, have achieved state-of-the-art performance. However the performance is still far from satisfactory for dialect and short-duration utterance identification tasks, due to the deficiency...
In this paper, we present a description of the iFlyTek Speech Lab system for NIST 2009 LRE (Language Recognition Evaluation). The system consists of acoustic systems (i.e. GMM-MMI and GMM-SVM) and phonotactic systems (i.e. PPR 4-gram LM and PPR 3-gram SVM). First, we describe several state-of-the-art techniques applied in our language recognition system, such as FA (Factor Analysis), MMI (Maximum...
A new technology for spatially localizing acoustic backscatter called VS-CAATI (Virtual and Sub-array Computed Angle-of-Arrival Transient Imaging) is proposed in this paper. The new technology can jointly estimate DOA and amplitude at the same time. The principles underlying VS-CAATI, which are based on virtual array processing and sub-array technology, are presented in detail in the paper. VS-CAATI...
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