Now showing items 1-6 of 6
Supervised Battery Capacity Estimation
Evaluation of capacity fade in Li-ion batteries in the ballparks of energy research has assumed significant importance in recent times extensively owing to growing demand and need for portable power supplies and electric ...
Deep Neural Networks and Model-Based Approaches for Robust Speaker Diarization in Naturalistic Audio Streams
Speaker diarization is an unsupervised task that determines "who spoke and when" within input audio stream. It consists of four sub-systems: (i) speech activity detection (SAD); (ii) speaker segmentation and modeling; ...
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps
In many pattern recognition or machine learning applications, deep learning models or deep neural networks have provided superior performance relative to feature-based classifiers. Although there exist a number of publicly ...
A Neural Network Approach for Argument Reasoning Comprehension
The dream of enabling machines to think like humans has emerged ever since the invention of computers. Over the years people have tried to build machine-based systems that can parse and understand natural languages like ...
Deep Neural Network Based Speaker Verification Under Domain Mismatched Conditions
Speaker verification (SV), which offers a natural and flexible solution for biometric authentication, has been actively studied in the past decades. Machine learning models usually achieve high performance with the ...
Neural Network Models for Text Understanding
Text understanding is a key component of Natural Language Processing (NLP) and Artificial Intelligence (AI). The traditional approaches to solve this problem are by joining the features selected from sentences and the ...