Santhosh K. Ramakrishnan

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This paper analyzes various issues in building a HMM based multilingual speech recognizer for Indian languages. The system is originally designed for Hindi and Tamil languages and adapted to incorporate Indian accented Eng-lish. Language-specific characteristics in speech recognition framework are highlighted. The recognizer is embedded in information(More)
Traditional point tracking algorithms such as the KLT use local 2D information aggregation for feature detection and tracking, due to which their performance degrades at the object boundaries that separate multiple objects. Recently, CoMaL Features have been proposed that handle such a case. However, they proposed a simple tracking framework where the(More)
We study the problem of answering questions about images in the harder setting, where the test questions and corresponding images contain novel objects, which were not queried about in the training data. Such setting is inevitable in real world—owing to the heavy tailed distribution of the visual categories, there would be some objects which would not be(More)
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