Search Results - (( using automatic speech algorithm ) OR ( parameter optimization based algorithm ))
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A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
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Working Paper -
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Speech Signal Endpoint Detection Using Hidden Markov Models
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Article -
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Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman
Published 2012“…The automatic speech recognition (ASR) field has become one of the leading speech technology areas using artificial intelligence (AI) approaches. …”
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Book Section -
4
Evaluation of automated phonetic labeling and segmentation for dyslexic children’s speech
Published 2013“…This is due to the highly phonetically similar reading errors produced when they read that have affected automatic speech recognition (ASR).In this work, experiments were performed using a specifically designed ASR to force-align the read speech and produce the labels and segmentations automatically.The CSLU toolkit’s force alignment algorithm has been employed to measure their performances.Selected speech data of dyslexic children’s reading in Malay were fed to the algorithm as input and the evaluation resulted in 95% agreement on phonetic labeling and only 65% on segmentation with respect to the manual ones.…”
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Conference or Workshop Item -
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Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA
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Working Paper -
7
Speech recognition system using MATLAB : design, implementation, and samples codes
Published 2011“…Research in automatic speech recognition has been done for almost four decades. …”
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Book -
8
Segmentation of Malay syllables in connected digit speech using statistical approach
Published 2008“…This study present segmentation of syllables in Malay connected digit speech. Segmentation was done in time domain signal using statistical approaches namely the Brandt’s Generalized Likelihood Ratio (GLR) algorithm and Divergence algorithm. …”
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Article -
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…The main idea is the integration of optimal control and parameter estimation. In this work, a simplified model-based optimal control model with adjustable parameters is constructed. …”
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Thesis -
10
Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani
Published 2015“…Automatic recognition of children’s speech is essential in computer-based speech therapy system. …”
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Thesis -
11
On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing
Published 2015“…In doing so, this paper reviews two existing parameter free optimization algorithms involving Teaching Learning Based Optimization (TLBO) and Fruitfly Optimization Algorithm (FOA) in an effort to promote their adoption for CIT.…”
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Article -
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Finite impulse response optimizers for solving optimization problems
Published 2019“…Selecting optimal parameters’ values may improve an algorithm’s performance. …”
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Thesis -
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Finite impulse response optimizers for solving optimization problems
Published 2019“…Selecting optimal parameters’ values may improve an algorithm’s performance. …”
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Thesis -
14
Evaluation of intonation features on emphasized Malay words / Syazwani Nasaruddin
Published 2017“…Detection of emphasized has become one active research in speech processing. Nowadays, in automatic speech recognition, listeners not only want to be able automatically understand which words the speakers have said but also how the speakers deliver the speech. …”
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Thesis -
15
Development of gender and race recognition system using speech and recognition by using frequency spectrum
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Learning Object -
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JTAGGER
Published 2006“…In this project, rule-based tagging algorithm is used as the mechanism to develop the system which named JTagger. …”
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Final Year Project -
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LS-SVM Hyper-parameters Optimization Based on GWO Algorithm for Time Series Forecasting
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Conference or Workshop Item -
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Metadata network visualizer
Published 2009“…The new metadata extraction algorithm is essentially hand-crafted rules. These rules perform extraction based on combination of parts of speech, publication metadata types, line position, relative position and symbols.…”
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Patent -
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Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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Thesis -
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