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)
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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