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Feature extraction using GTCC spectrogram and ResNet50 based classification for audio spoof detection
With the increasing adoption of voice-based authentication systems, the threat of audio spoofing attacks has become a significant concern. These...
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Enhancing Performance of Noise-Robust Gujarati Language ASR Utilizing the Hybrid Acoustic Model and Combined MFCC + GTCC Feature
The study introduces an enhanced method for improving the accuracy and performance of End-to-End Automatic Speech Recognition (ASR) systems. This...
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Phonocardiogram Identification Using Mel Frequency and Gammatone Cepstral Coefficients and an Ensemble Learning Classifier
The phonocardiogram, abbreviated as the PCG signal, is one of the signals that has proven to be extremely useful in identifying and diagnosing...
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Cepstral and acoustic ternary pattern based hybrid feature extraction approach for end-to-end bangla speech recognition
In the last three decades, a lot of work has been done for building Automatic Speech Recognition (ASR) systems for well-established languages such as...
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Heat Energy Recovery and Low CO2 Emission for Natural Gas Combined Cycle Power Plants Using Plasma Treatment
In a liquefied natural gas, gas turbine combined cycle (GTCC) power generation plant that has a high total power generation efficiency, zero carbon...
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Tamil Language Automatic Speech Recognition Based on Integrated Feature Extraction and Hybrid Deep Learning Model
In the case of low-resource language, there is still the requirement for develo** more efficient Automatic Speech Recognition (ASR) systems. In the...
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Topological similarity of time-dependent objects
Objects with time factor are important representations of data, such as time series, sequences generated by chaotic systems, and dynamic networks....
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Probability Enhanced Entropy (PEE) Novel Feature for Improved Bird Sound Classification
Identification of bird species from their sounds has become an important area in biodiversity-related research due to the relative ease of capturing...
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Emotion Recognition from Speech Using Multiple Features and Clusters
Speech Emotion Recognition (SER) using speech signals to detect our emotions is gaining popularity in the field of Human–Computer Interactions. The...
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Highly Accurate Gear Fault Diagnosis Based on Support Vector Machine
PurposeThe global interest of develo** monitoring system is increasing due to the continuous challenges in reliability and accuracy. Automatic...
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Significance of Acoustic Features in Vertebrate Vocalisations Related Applications
The acoustic features are important to be extracted from vertebrate vocal signals to achieve the most accurate results from the related applications...
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Performance Analysis of Speech Command Recognition Using Support Vector Machine Classifiers
Recently attention of researchers towards Automatic Speech Recognition (ASR) is tremendously increased than ever because of its applications in...
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Performance characteristics of an integrated power generation system combining gas turbine combined cycle, carbon capture and methanation
This study analyzes the performance of an integrated power generation system that combines a gas turbine combined cycle (GTCC) with a methanation...
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Research Management and Virtual Accessibility: The Case of Paraguayan Universities
The main objective of this article is to analyse how research management is carried out in some higher education institutions in Paraguay, based on...
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Voice-Based Detection of Parkinson’s Disease Using Empirical Mode Decomposition, IMFCC, MFCC, and Deep Learning
Parkinson’s disease, a chronic and progressive neurological disorder that mainly affects the elderly, has recently drawn research attention to its...
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Uncovering Latent Influential Patterns and Interests on Twitter Using Contextual Focal Structure Analysis Design
The Contextual Focal Structure Analysis (CFSA) model is a sophisticated approach enhancing the discovery and interpretability of focal structure...
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Custom-Built Deep Convolutional Neural Network for Breathing Sound Classification to Detect Respiratory Diseases
In any living being, the respiratory system plays a vital role and is responsible for taking oxygen required for body organs and blood. It has a...
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Constrained and Unconstrained Audio Classifıcation
Large amounts of audio data are available with the advent of technology. The role of audio data is decisive in analysing the data, be it activity...
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Energy and exergy analysis of gas turbine combined cycle with exhaust gas recirculation under part-load conditions
This paper presents the energy and exergy analysis of the gas turbine combined cycle during part-load operation under the exhaust gas recirculation -...
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Multi-order Replay Attack Detection Using Enhanced Feature Extraction and Deep Learning Classification
The authenticated users are identified and verified using automatic speaker verification (ASV) technologies. An automatic speaker verification (ASV)...