Senti-NSetPSO: large-sized document-level sentiment analysis using Neutrosophic Set and particle swarm optimization
In the last decade, opinion mining has been explored by using various machine learning
methods. In the literature, document-level sentiment analysis has been majorly dealt with …
methods. In the literature, document-level sentiment analysis has been majorly dealt with …
Time–frequency masking based supervised speech enhancement framework using fuzzy deep belief network
In recent years, deep learning based supervised speech enhancement methods have
gained a considerable amount of research attention over the statistical signal processing …
gained a considerable amount of research attention over the statistical signal processing …
Exploring TinyML Frameworks for Small-Footprint Keyword Spotting: A Concise Overview
Keyword spotting with a Small Footprint (SF-KWS) has gained popularity in today's
landscape of smart voice-activated devices, smartphones, and IoT applications. This surge …
landscape of smart voice-activated devices, smartphones, and IoT applications. This surge …
Speech segregation in background noise based on deep learning
The most important way several people communicate is through speech. Speech is used to
convey other information such as speaker communication, emotion, and attitude. Therefore …
convey other information such as speaker communication, emotion, and attitude. Therefore …
A hybrid technique for speech segregation and classification using a sophisticated deep neural network
Recent research on speech segregation and music fingerprinting has led to improvements
in speech segregation and music identification algorithms. Speech and music segregation …
in speech segregation and music identification algorithms. Speech and music segregation …
A hybrid framework based on PSO and neutrosophic set for document level sentiment analysis
Opinion mining for document level has undergone different testing process in the last few
years. A lot of research work has contributed for analysis of such reviews to extract the …
years. A lot of research work has contributed for analysis of such reviews to extract the …