Indian Institute of Technology Gandhinagar

IIT Gandhinagar
Not a member yet
    3989 research outputs found

    Speech quality enhancement using a two channel sparse adaptive filtering approach

    No full text
    A forward two channel blind source separation scheme can be used as a effective method for speech enhancement. In such a scheme, two mixed sound signals are used as inputs to estimate the original signals which created these mixtures. In an endeavour to enhance the speech quality, an attempt has been made in this paper to design a two channel blind source separation method based on a sparse learning strategy. The proposed approach takes advantage of the sparse nature of the acoustic path impulse responses of the mixing model and offers improved speech quality in comparison with traditional approach. Simulation study shows the improvement in speech quality in terms of perceptual evaluation of speech quality by the proposed sparse forward two channel blind source separation scheme.by Priyanka Kajla and Nithin V. Georg

    An analytical framework and approximation strategy for efficient implementation of distributed arithmetic based inner-product architectures

    No full text
    by Dwaipayan Ray, Nithin V. George and Pramod K Mehe

    Long-term (1870�2018) drought reconstruction in context of surface water security in India

    No full text
    Droughts in India affect food production, gross domestic product (GDP), livelihood, and socio-economic condition of a large population associated with agriculture. Recent drought (2015�2018) caused groundwater depletion and affected about one-fourth of the Indian population. However, it remains unclear if the drought of 2015�2018 was among the most severe droughts that occurred in India. Here we use a long-term (1870�2018) data to identify the top five (�deadly�) meteorological/hydrological droughts based on overall severity score in the last century and half period. Out of a total of 18 meteorological droughts, the deadly droughts occurred in 1899, 1876, 2000, 1918, and 1965. Similarly, the deadly hydrological droughts occurred in 1899, 2000, 1876, 1965, and 1918 during 1870�2018. All the five deadly droughts were associated with the positive phase of El Nino Southern Oscillations (ENSO). Results show that the relationship between ENSO and monsoon (June to September) precipitation in India has weakened while the role of Indian and Atlantic Oceans have strengthened during the recent decades. Notwithstanding the longest (41?months) duration, the 2015�2018 drought did not feature among the deadly droughts. The 2015�2018 drought affected surface (reservoir storage) and groundwater availability in both southern and northern parts of India and was linked to El-Nino and Indian Ocean Dipole. Droughts and rapidly declining groundwater together can pose serious challenges to water security in India.by Vimal Mishr

    Simultaneous detection and removal of dynamic objects in multi-view images

    No full text
    by Gagan Kanojia and Shanmuganathan Rama

    A generalized maximum correntropy criterion based robust sparse adaptive room equalization

    No full text
    An adaptive room equalization scheme is usually employed to compensate for the distortion of sound produced by the room impulse response, thereby offering an improved listening experience. In a conventional adaptive room equalizer, an adaptive filter updated using a filtered-x least mean square (FxLMS) algorithm is used to achieve room equalization. Conventional FxLMS algorithm based room equalizers are not robust to strong disturbances picked up by the reference microphone. A robust adaptive room equalization scheme based on a generalized maximum correntropy criteria has been developed in this paper. The performance has been further enhanced by using a proportionate learning strategy to take advantage of the sparse nature of the room impulse response. The proposed algorithm has been shown to provide enhanced room equalization performance over other methods compared, for various types of noise distributions.by KrishnaKumar and Nithin V.Georg

    Microstructures and mechanical properties of ternary Ti�Si�Sn alloys

    No full text
    Titanium based alloys are one of the important structural materials with applications ranging from aerospace to biomedical industries. Several ternary Ti�Si�Sn alloys were explored in this study to design the microstructure comprising of binary and ternary eutectics corresponding to Ti�Si, Ti�Sn and Ti�Si�Sn system. The microstructural evolution in these alloys was studied using a combination of characterization techniques and thermodynamic calculations. The predicted solidification path from thermodynamic calculations well supported the experimental microstructural data. In addition, mechanical property and microstructure relationship were determined by performing hardness measurements and evaluating stress-strain curves under compression.by Chandra Sekhar Tiwary, Manas Paliwal, Sanjay Kashyap, Praful Pandey, Suman Sarkar, Ipshita Kundu, Shakti Bhaskar, In-Ho Jung, K.Chattopadhyay and Dipankar Banerje

    NLPExplorer: exploring the universe of NLP papers

    No full text
    Understanding the current research trends, problems, and their innovative solutions remains a bottleneck due to the ever-increasing volume of scientific articles. In this paper, we propose NLPExplorer, a completely automatic portal for indexing, searching, and visualizing Natural Language Processing (NLP) research volume. NLPExplorer presents interesting insights from papers, authors, venues, and topics. In contrast to previous topic modelling based approaches, we manually curate five course-grained non-exclusive topical categories namely Linguistic Target (Syntax, Discourse, etc.), Tasks (Tagging, Summarization, etc.), Approaches (unsupervised, supervised, etc.), Languages (English, Chinese,etc.) and Dataset types (news, clinical notes, etc.). Some of the novel features include a list of young popular authors, popular URLs, and datasets, a list of topically diverse papers and recent popular papers. Also, it provides temporal statistics such as yearwise popularity of topics, datasets, and seminal papers. To facilitate future research and system development, we make all the processed datasets accessible through API calls.by Monarch Parmar, Naman Jain, Pranjali Jain, P Jayakrishna Sahit, Soham Pachpande, Shruti Singh and Mayank Sing

    The Cue-integrated sense of agency as operationalized in experiments is not a (Multisensory) perceptual effect, but is a judgment effectReddy

    No full text
    According to the Cue integration theory, the Sense of agency (SoA) is a resultant of both motor as well as non-motor cues, and these multiple cues are integrated based on their reliability or invariance estimate. However, the cue integration theory fails to make a distinction between perception and judgment, when it attributes (multisensory) perceptual character to non-motor cues like affect, effort, competition, fluency, familiarity, expertise, sleep, meditation, primes, and previews of actions, etc. Thus, my paper criticizes the experimentally operationalized cue-integrated SoA by arguing that: (a) there is uncertainty in the cue-integrated SoA experimental operationalization (making the participants prone to judgment effects); (b) the cue integration theory faces a problem of explaining how non-motor cues acquire interface, intentionality, and accuracy about agency; (c) the SoA reports are influenced by heuristic responding pattern (under uncertainty); (d) the cue-integrated SoA operationalizations had �inaccuracy standard� for measuring perception of agency; (e) under certainty, the (nonveridical) SoA reports might not have occurred at all. This paper concludes that the reported heuristic responses (under uncertainty) of SoA can be parsimoniously accounted by compositionality nature of thought/judgment rather than the cue-integrated perception, and thus, the cue-integrated SoA reports are not instances of perceptions but are judgments.by Nagireddy Neelakanteswar Redd

    Somatosensory cortex participates in the consolidation of human motor memory

    No full text
    Newly learned motor skills are initially labile and then consolidated to permit retention. The circuits that enable the consolidation of motor memories remain uncertain. Most work to date has focused on primary motor cortex, and although there is ample evidence of learning-related plasticity in motor cortex, direct evidence for its involvement in memory consolidation is limited. Learning-related plasticity is also observed in somatosensory cortex, and accordingly, it may also be involved in memory consolidation. Here, by using transcranial magnetic stimulation (TMS) to block consolidation, we report the first direct evidence that plasticity in somatosensory cortex participates in the consolidation of motor memory. Participants made movements to targets while a robot applied forces to the hand to alter somatosensory feedback. Immediately following adaptation, continuous theta-burst transcranial magnetic stimulation (cTBS) was delivered to block retention; then, following a 24-hour delay, which would normally permit consolidation, we assessed whether there was an impairment. It was found that when mechanical loads were introduced gradually to engage implicit learning processes, suppression of somatosensory cortex following training almost entirely eliminated retention. In contrast, cTBS to motor cortex following learning had little effect on retention at all; retention following cTBS to motor cortex was not different than following sham TMS stimulation. We confirmed that cTBS to somatosensory cortex interfered with normal sensory function and that it blocked motor memory consolidation and not the ability to retrieve a consolidated motor memory. In conclusion, the findings are consistent with the hypothesis that in adaptation learning, somatosensory cortex rather than motor cortex is involved in the consolidation of motor memory.by Neeraj Kumar, Timothy F. Manning and David J. Ostr

    Kinetics of protein microbubble dissolution in aqueous medium

    No full text
    by Aaqib H. KhanM.Tech

    57

    full texts

    3,989

    metadata records
    Updated in last 30 days.
    IIT Gandhinagar
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇