Search
Search Results
-
End-to-end emotional speech recognition using acoustic model adaptation based on knowledge distillation
The end-to-end approach provides better performance in speech recognition compared to the traditional hidden Markov model-deep neural network...
-
A Stochastic Approach Based on Rational Decision-Making for Analyzing Software Engineering Project Status
This study presents a novel approach to project status prediction in software engineering, based on unobservable states of decision-making processes,...
-
Improving Protein Backbone Angle Prediction Using Hidden Markov Models in Deep Learning
Protein Structure Prediction (PSP) is one of the most challenging problems in bioinformatics and biomedicine. PSP has obtained significant...
-
Markov Modeling via Spectral Analysis: Application to Detecting Combustion Instabilities
Effective representation of temporal patterns to infer generative models from measurement data is critical for dynamic data-driven application...
-
Chord-based music generation using long short-term memory neural networks in the context of artificial intelligence
With the rapid development of artificial intelligence (AI), music generation has gained widespread attention. Long short-term memory (LSTM) has...
-
Proactive eviction of flow entry for SDN based on hidden Markov model
With the fast development of software defined network (SDN), numerous researches have been conducted for maximizing the performance of SDN....
-
Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach
Sentiment analysis aims to empower automated methods with the capacity to recognize sentiments, opinions and emotions in text. This recognition...
-
Active multiview recognition with hidden Markov temporal support
Our paper deals with active multiview object recognition focusing on the directional support of sequential multiple shots. Since inertial sensors are...
-
Precise Localization Within the GI Tract by Combining Classification of CNNs and Time-Series Analysis of HMMs
This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by...
-
Unveiling hidden factors: explainable AI for feature boosting in speech emotion recognition
Speech emotion recognition (SER) has gained significant attention due to its several application fields, such as mental health, education, and...
-
GMM-Based Speaker Verification System with Hardware MFCC in SoC Design
In recent years, speaker verification has been extensively explored and has significantly improved its effectiveness. It analyzes the voiceprint...
-
Generating Walking Bass Lines with HMM
In this paper, we propose a method of generating walking bass lines for jazz with a hidden Markov model (HMM). Although automatic harmonization has...
-
A novel technology life cycle analysis method based on LSTM and CRF
Technology life cycle (TLC) analysis provides essential support for investment-related strategies and helps to technology trajectory tracing,...
-
A risk assessment model for similar attack scenarios in industrial control system
Although the expansion of attack types against industrial control systems is limited, the available means that violate the same security strategy...
-
Analyzing Intracranial EEG in Pharmacoresistant Epilepsy Patients Using Hidden Markov Models and Time Series Forecasting Methods
Various brain activities can be captured by electroencephalographic signals, which can then be used to detect epilepsy considering that the epileptic...
-
Children age group detection based on human–computer interaction and time series analysis
This article proposes a novel children–computer interaction (CCI) approach for the task of age group detection. This approach focuses on the...
-
Dynamic and robust Bayesian graphical models
Gaussian graphical models are widely popular for studying the conditional dependence among random variables. By encoding conditional dependence as an...
-
Face Recognition in Databases of Images with Hidden Markov’s Models
In this paper, we present a new approach to Facial Recognition (FR) that uses Hidden Markov Models. The method we propose enhances the HMMs by...
-
DPPS: A novel dual privacy-preserving scheme for enhancing query privacy in continuous location-based services
Since smartphones embedded with positioning systems and digital maps are widely used, location-based services (LBSs) are rapidly growing in...
-
Modeling and predicting students’ engagement behaviors using mixture Markov models
Students’ engagements reflect their level of involvement in an ongoing learning process which can be estimated through their interactions with a...
