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An Innovative Method for Speech Signal Emotion Recognition Based on Spectral Features Using GMM and HMM Techniques
Speech is one of the communication processes of humans. One of the important features of speech is to convey the inner feelings of the person to the...
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Automatic lipreading based on optimized OLSDA and HMM
Automatic visual lipreading, an efficient and convenient way of human–machine interaction, recognizes the content of the conversation from dynamic...
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Automatic Classification of Disordered Voices Based on a Hybrid HMM-SVM Model
AbstractThe main concern of this paper is the clinical assessment of disordered voices using an automatic classification method based on a hybrid...
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A recommender system based on collaborative filtering, graph theory using HMM based similarity measures
Collaborative filtering (CF) is a widely used method in recommendation systems (RS). In the CF, similar users' interests and preferences are analyzed...
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Energy Efficient Service Selection from IoT Based on QoS Using HMM with KNN and XGBoost
The data gathering and composite the services through the IoT devices are the significant need in current scenario. There are many existing systems...
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Cell Outage Detection in 5G Self-organizing Networks Based on FDA-HMM
The 5G network is anticipated to be more densified in the future, containing numerous heterogeneous cells. Managing the heterogeneous networks...
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A Novel Text-to-Speech Synthesis System Using Syllable-Based HMM for Tamil Language
A text-to-speech (TTS) is an intellectual system that converts the given language text into speech output. TTS system synthesizer can be evaluated...
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DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features
Speech emotion recognition (SER) systems are often evaluated in a speaker-independent manner. However, the variation in the acoustic features of...
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Speech Recognition Using HMM-CNN
Nowadays, the largest part of speech recognition systems is based on statistical modeling, being Hidden Markov Model (HMM) the most popular among...
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Deep Learning’s Impact on Speech Synthesis for Mobile Devices
In recent years, speech synthesis has become an integral part-of-speech-based human–machine interfaces on mobile devices, sparking significant...
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A Hidden Markov Model-based fuzzy modeling of multivariate time series
This study elaborates on a novel Hidden Markov Model (HMM)-based fuzzy model for time series prediction. Fuzzy rules (rule-based models) are employed...
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Intelligent fuzzy logic based intrusion detection system for effective detection of black hole attack in WSN
A wireless sensor network (WSN) is a distributed collection of tiny, low-power, wireless devices which are deployed in a physical environment to...
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Persistent Schedule Evaluation and Adaptive Re-planning for Maritime Search Tasks
Search operations performed by adaptive autonomous maritime vehicles have been a topic of considerable interest for many years. Such operations...
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A speech enhancement algorithm based on a non-negative hidden Markov model and Kullback-Leibler divergence
In this paper, we propose a supervised single-channel speech enhancement method that combines Kullback-Leibler (KL) divergence-based non-negative...
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An experiment of Moroccan dialect speech recognition in noisy environments using PocketSphinx
In this study, we introduce an experimental framework for Moroccan dialect speech recognition under various additive noise conditions using the...
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A Hybrid Hidden Markov Model and Time-Frequency Approach to Impact Echo Signal Classification
Impact echo (IE) is a popular nondestructive evaluation technique, which can detect and locate delaminations and subsurface defects within concrete...
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D-shape Fiber Structure-Based SPR Sensor
This chapter presents finite element models of D-type photonic crystal fiber performance for SPR-based refractive index sensing. Hyperbolic...
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Usefulness of glottal excitation source information for audio-visual speech recognition system
In this work, the excitation source based glottal information is explored as a supplementary evidence for develo** robust audio-visual speech...
