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    Supervised Learning Approaches for Language and Speaker Recognition 

    Ramoji, Shreyas
    In the age of artificial intelligence, it is important for machines to figure out who is speaking automatically and in what language - a task humans are naturally capable of. Developing algorithms that automatically infer ...

    Studies on EEG correlates of non-ordinary states of consciousness and slow-paced breathing 

    Kumar, Pradeep G
    Studies on the non-ordinary states of consciousness (NSCs) induced by meditation, hypnosis, trance, and slow-paced breathing are gaining visibility due to their potential efficacy in treating various clinical conditions. ...

    Multimodal sleep staging and diagnosis of sleep disorders 

    Jain, Ritika
    Sleep is not a single uniform state, but rather a cyclical pattern involving multiple stages such as rapid eye movement (REM) and non-REM (NREM stages N1, N2, and N3). Polysomnography (PSG) is considered as the gold standard ...

    Automatic speech recognition for low-resource Indian languages 

    Anoop, C S
    Building good models for automatic speech recognition (ASR) requires large amounts of annotated speech data. Recent advancements in end-to-end speech recognition have aggravated the need for data. However, most Indian ...

    Plasma activated/assisted solid wastes in diesel exhaust treatment: a case study with agricultural, industrial and composite wastes 

    Sahu, Apoorva
    The consumption of crude oil is increasing every day particularly in developing countries like India which is the third largest consumer of crude oil in the world, utilizing on an average around 160 million liters per annum ...

    Frequent Episode Mining: Efficient Discovery Algorithms and Significance Analysis 

    Gandreti, Santhosh B
    Frequent Pattern mining is a popular area of data mining, where the goal is to unearth interesting patterns that occur often in a given data. A pattern is a local structure that captures correlations and dependencies present ...

    Audio-Visual association learning in Humans and Multimodal Networks 

    Harjpal, Chandrakant
    We easily learn audiovisual associations when we give visual objects their names. While humans easily learn the names of new objects while retaining previously learned information, deep neural networks forget old ...

    Estimation of flashovers in the EHV/UHV lines on the east coast due to lightning produced by the Bay of Bengal cyclones 

    Chatterjee, Anirban
    Electric Power is imperative for the modern world. The quality and reliability of the power supply can be impaired by several factors. Lightning is one such natural threat that disrupts the continuity of supply and can ...

    Reduced Electrolytic Capacitor Based Single-Phase Converters: Topologies, Control, and Stability 

    Mukhopadhyay, Anwesha
    Single-phase converters (SPC) find wide applications in different domestic and industrial appliances, ranging from a few hundred Watts to a few Megawatts. Second-harmonic ripple filtering is a critical issue in SPCs, for ...

    Investigating Neural Mechanisms of Word Learning and Speech Perception 

    Soman, Akshara
    Language learning and speech perception are remarkable feats performed by the human brain, involving complex neural mechanisms that allow us to understand and communicate with one another. Unravelling the mysteries of these ...
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    AuthorGavaskar, Ruturaj G (2)Ghulyani, Manu (2)Nair, Pravin (2)Paul, Sayan (2)Achuth Rao, M V (1)Afreen, Ahmad (1)Agrawal, Purvi (1)Ahmad, Syed Shahjahan (1)Ahmed, Miraj S K (1)Anoop, C S (1)... View MoreSubject
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    EEG (5)diesel engine exhaust (3)Image processing (3)image processing (3)Inverter (3)Lightning (3)Machine Learning (3)OCR (3)Power Electronics (3)... View MoreHas File(s)Yes (129)

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