Search Results - "G, Ramakrishnan A"

Modality-Specific Feature Selection, Data Augmentation and Temporal Context for Improved Performance in Sleep Staging by Jain, Ritika, G., Ramakrishnan A.

“…This work attempts to design an effective sleep staging system, making the best use of the available signals, strategies, and features in the literature. It…”
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Epoch Extraction Based on Integrated Linear Prediction Residual Using Plosion Index by Prathosh, A. P., Ananthapadmanabha, T. V., Ramakrishnan, A. G.

“…Epoch is defined as the instant of significant excitation within a pitch period of voiced speech. Epoch extraction continues to attract the interest of…”
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Meta-Learning for Indian Languages: Performance Analysis and Improvements With Linguistic Similarity Measures by Anoop, C. S., Ramakrishnan, A. G.

“…Indian languages share a lot of overlap in acoustic and linguistic content. Though different languages use different writing systems, the phoneme sets…”
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Threshold-Independent QRS Detection Using the Dynamic Plosion Index by Ramakrishnan, A. G., Prathosh, A. P., Ananthapadmanabha, T. V.

“…Detection of QRS serves as a first step in many automated ECG analysis techniques. Motivated by the strong similarities between the signal structures of an ECG…”
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Variational mode decomposition-based EEG analysis for the classification of disorders of consciousness by Raveendran, Sreelakshmi, Kenchaiah, Raghavendra, Kumar, Santhos, Sahoo, Jayakrushna, Farsana, M K, Chowdary Mundlamuri, Ravindranadh, Bansal, Sonia, Binu, V S, Ramakrishnan, A G, Ramakrishnan, Subasree, Kala, S

“…Aberrant alterations in any of the two dimensions of consciousness, namely awareness and arousal, can lead to the emergence of disorders of consciousness…”
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Intrinsic-cum-extrinsic normalization of formant data of vowels by T V, Ananthapadmanabha, A G, Ramakrishnan

“…Using a known speaker-intrinsic normalization procedure, formant data are scaled by the reciprocal of the geometric mean of the first three formant…”
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An Exploration of Log-Mel Spectrogram and MFCC Features for Alzheimer's Dementia Recognition from Spontaneous Speech by Meghanani, Amit, C. S., Anoop, Ramakrishnan, A. G.

“…In this work, we explore the effectiveness of log-Mel spectrogram and MFCC features for Alzheimer's dementia (AD) recognition on ADReSS challenge dataset. We…”
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ECG coding by wavelet-based linear prediction by Ramakrishnan, A.G., Saha, S.

“…Presents a novel coding scheme for the electrocardiogram (ECG). Following beat delineation, the periods of the beats are normalized by multirate processing…”
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Word level multi-script identification by Pati, Peeta Basa, Ramakrishnan, A.G.

“…We report an algorithm to identify the script of each word in a document image. We start with a bi-script scenario which is later extended to tri-script and…”
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Contextual encoding in uniform and adaptive mesh-based lossless compression of MR images by Srikanth, R., Ramakrishnan, A.G.

“…We propose and evaluate a number of novel improvements to the mesh-based coding scheme for 3-D brain magnetic resonance images. This includes: 1) elimination…”
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Efficient document-image super-resolution using convolutional neural network by Pandey, Ram Krishna, Ramakrishnan, A G

“…Experiments performed by us using optical character recognizers (OCRs) show that the character level accuracy of the OCR reduces significantly with decrease in…”
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Detection of the closure-burst transitions of stops and affricates in continuous speech using the plosion index by Ananthapadmanabha, T V, Prathosh, A P, Ramakrishnan, A G

“…Automatic and accurate detection of the closure-burst transition events of stops and affricates serves many applications in speech processing. A temporal…”
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Spectral analysis of noise in the neonatal intensive care unit by Livera, M. D., Priya, B., Ramesh, A., Suman Rao, P. N., Srilakshmi, V., Nagapoornima, M., Ramakrishnan, A. G., Dominic, M., Swarnarekha

“…Objective To perform spectral analysis of noise generated by equipments and activities in a level III neonatal intensive care unit (NICU) and measure the real…”
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Brain Functional Connectivity as Biomarker for Propofol-Induced Alterations of Consciousness by S., Anusha A., Ramakrishnan, A. G.

“…Understanding neural correlates of consciousness and its alterations poses a grand challenge for modern neuroscience. Even though recent years of research have…”
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Voice source characterization using pitch synchronous discrete cosine transform for speaker identification by Ramakrishnan, A G, Abhiram, B, Prasanna, S R Mahadeva

“…A characterization of the voice source (VS) signal by the pitch synchronous (PS) discrete cosine transform (DCT) is proposed. With the integrated linear…”
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R-wave Amplitude Changes and Atypical Heart Rate Changes Accompanying Breath Hold During Low Breathing Rates by Ramakrishnan, A. G, Adarsh, A.

“…This paper reports an interesting phenomenon that the amplitude of the QRS complex reduces during inhalation and increases during exhalation and the variation…”
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Midline EEG Functional Connectivity As Biomarker for Conscious States in Sleep and Wakefulness by S., Anusha A., Ramakrishnan, A. G.

“…Functional connectivity (FC) between different cortical regions of the brain has long been hypothesized to be necessary for conscious states in several…”
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Increased Entropy of Gamma Oscillations in the Frontal Region during Meditation by Kumar, G. Pradeep, Sharma, Kanishka, Ramakrishnan, A. G., Adarsh, A.

“…Meditation practices are considered mental training and have increasingly received attention from the scientific community due to their potential psychological…”
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Estimation of voice-onset time in continuous speech using temporal measures by Prathosh, A P, Ramakrishnan, A G, Ananthapadmanabha, T V

“…This paper proposes an automatic acoustic-phonetic method for estimating voice-onset time of stops. This method requires neither transcription of the utterance…”
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Cumulative Impulse Strength for Epoch Extraction by Prathosh, A.P., Sujith, P., Ramakrishnan, A.G., Ghosh, Prasanta Kumar

“…Algorithms for extracting epochs or glottal closure instants (GCIs) from voiced speech typically fall into two categories: i) ones which operate on linear…”
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