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Found 6 papers, 1 papers with code
Enhancing COVID-19 Severity Analysis through Ensemble Methods
Computed Tomography (CT) scans provide a detailed image of the lungs, allowing clinicians to observe the extent of damage caused by COVID-19.
Structural Segmentation and Labeling of Tabla Solo Performances
We present a diverse collection of over 38 hours of solo tabla recordings for the task.
Using Signal Processing in Tandem With Adapted Mixture Models for Classifying Genomic Signals
Genomic signal processing has been used successfully in bioinformatics to analyze biomolecular sequences and gain varied insights into DNA structure, gene organization, protein binding, sequence evolution, etc.
The Importance of Accurate Alignments in End-to-End Speech Synthesis
With the arrival of end-to-end (E2E) systems, it was observed that very good quality speech could be synthesised with large amounts of data.
Correlation based Multi-phasal models for improved imagined speech EEG recognition
A bi-phase common representation learning module using neural networks is designed to model the correlation and reproducibility between an analysis phase and a support phase.
The "Sound of Silence" in EEG -- Cognitive voice activity detection
Firstly, speech perception is studied to inspect the existence of such a state, followed by its identification in speech imagination.
