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  1. 1
    A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm

    A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm by Tahereh Hassanzadeh, Karim Faez, Golnaz Seyfi

    Published 2012
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  2. 2
    Speech Signal Endpoint Detection Using Hidden Markov Models

    Speech Signal Endpoint Detection Using Hidden Markov Models by Ahmed, M. Masroor, Ahmed, Abdul Manan, Othman, Muhamad Razib, Khan, Sheraz

    Published 2006
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  3. 3
    Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman

    Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman by Seman, Noraini

    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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  4. 4
    Evaluation of automated phonetic labeling and segmentation for dyslexic children’s speech

    Evaluation of automated phonetic labeling and segmentation for dyslexic children’s speech by Husni, Husniza, Yusof, Yuhanis, Kamaruddin, Siti Sakira

    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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  5. 5
    Speaker verification based on speech signal

    Speaker verification based on speech signal by Shariffah Fauziah, Jap, Chekima, Ali, Mazlina, Mamat, Wan Mahani, Abdullah

    Published 2009
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  6. 6
    Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA

    Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA by Phak Len, Eh Kan, Rafikha Aliana, Raof, Ahmad Nasir, Che Rosli, Razaidi, Hussin

    Published 2009
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  7. 7
    Speech recognition system using MATLAB : design, implementation, and samples codes

    Speech recognition system using MATLAB : design, implementation, and samples codes by Abushariah, Ahmad A. M., Gunawan, Teddy Surya

    Published 2011
    “…Research in automatic speech recognition has been done for almost four decades. …”
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  8. 8
    Segmentation of Malay syllables in connected digit speech using statistical approach

    Segmentation of Malay syllables in connected digit speech using statistical approach by Salam, M.S., Mohamad, Dzulkifli, Saleh, S.H.

    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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  9. 9
    Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani

    Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani by Mirhassani, Seyedmostafa

    Published 2015
    “…Automatic recognition of children’s speech is essential in computer-based speech therapy system. …”
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  10. 10
    Evaluation of intonation features on emphasized Malay words / Syazwani Nasaruddin

    Evaluation of intonation features on emphasized Malay words / Syazwani Nasaruddin by Nasaruddin, Syazwani

    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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  11. 11
    Optimization of turning parameters using genetic algorithm method

    Optimization of turning parameters using genetic algorithm method by Shah Izwandi, Mohd Zawawi

    Published 2008
    “…This study about development of optimization for turning parameters based on the Genetic Algorithm (GA). …”
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  12. 12
    Development of gender and race recognition system using speech and recognition by using frequency spectrum

    Development of gender and race recognition system using speech and recognition by using frequency spectrum by Ng Siew Fong

    Published 2009
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  13. 13
    Parameters optimization of surface grinding process with particles swarm optimization, gravitational search, and sine cosine algorithms: a comparative analysis

    Parameters optimization of surface grinding process with particles swarm optimization, gravitational search, and sine cosine algorithms: a comparative analysis by Asrul, Adam

    Published 2018
    “…The efficiency of the three algorithms are evaluated and compared with previous results obtained by other optimization methods on similar studies. …”
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  14. 14
    Optimization of PID parameters for hydraulic positioning system utilizing variable weight Grey-Taguchi and particle swarm optimization

    Optimization of PID parameters for hydraulic positioning system utilizing variable weight Grey-Taguchi and particle swarm optimization by Nur Iffah, Mohamed Azmi

    Published 2014
    “…Particle swarm optimization algorithm (PSO) is one of the artificial intelligence methods. …”
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  15. 15
    JTAGGER

    JTAGGER by YAACOB, NORHANA

    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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  16. 16
    Optimization of turning parameters using ant colony optimization

    Optimization of turning parameters using ant colony optimization by Mohamad Nazri, Semoin

    Published 2008
    “…The project objectives are to develop Ant Colony Optimization (ACO) algorithm for CNC turning process and to optimize turning parameters for minimized production cost per unit. …”
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  17. 17
    Parameter estimation in double exponential smoothing using genetic algorithm / Foo Fong Yeng, Lau Gee Choon and Zuhaimy Ismail

    Parameter estimation in double exponential smoothing using genetic algorithm / Foo Fong Yeng, Lau Gee Choon and Zuhaimy Ismail by Foo, Fong Yeng, Lau, Gee Choon, Ismail, Zuhaimy

    Published 2014
    “…Trial and error often serves as the best method to determine the parameter. Therefore, a good optimization technique is required for identify the best parameter in minimizing the forecast errors. …”
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  18. 18
    Metadata network visualizer

    Metadata network visualizer by Abdul Hamid, Jamaliah, Ibrahim, Hamidah, Selamat, Mohd Hasan, Abdullah, Rusli, Abdullah, Muhamad Taufiq, Nasharuddin, Nurul Amelina, Wan Isa, Wan Malini

    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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  19. 19
    Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation

    Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation by Premkumar M., Ravichandran S., Hashim T.J.T., Sin T.C., Abbassi R.

    Published 2025
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  20. 20
    Application Of Genetic Algorithms For Robust Parameter Optimization

    Application Of Genetic Algorithms For Robust Parameter Optimization by Belavendram, N.

    Published 2010
    “…Genetic algorithms (GA) are fairly recent in this respect but afford a novel method of parameter optimization. …”
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