Ganesh Sivaraman

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This paper presents a deep neural network (DNN) to extract articulatory information from the speech signal and explores different ways to use such information in a continuous speech recognition task. The DNN was trained to estimate articulatory trajectories from input speech, where the training data is a corpus of synthetic English words generated by the(More)
Reverberation in speech degrades the performance of speech recognition systems, leading to higher word error rates. Human listeners can often ignore reverberation, indicating that the auditory system somehow compensates for reverberation degradations. In this work, we present robust acoustic features motivated by the knowledge gained from human speech(More)
Improving the robustness of speech recognition systems to cope with adverse background noise is a challenging research topic. Extraction of noise robust acoustic features is one of the prominent methods used for incorporating robustness in speech recognition systems. Prior studies have proposed several perceptually motivated noise robust acoustic features,(More)
The fungal infestations have become significant cause for the quality and economic loss. They often cause infections to the handlers and consumers. Some of the fungal species are potent allergens, mycotoxin producers and can even cause superficial and pulmonary infection. Reports of previous studies are restricted to genus level due to overlapping of(More)
Introduction broiler breeding programme therefore should give due consideration to the general health status of the birds. Mortality has always been a great concern in Conventional vaccination program coupled with the poultry flocks. Re-emergence of the poultry diseases modern managemental practices strive to protect the cause huge losses to the poultry(More)
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