Search Results - (( developing speech recognition algorithm ) OR ( java implication force algorithm ))

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  1. 1

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

    Published 2011
    “…This project aims to develop automated English digits speech recognition system. …”
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    Book
  2. 2

    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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    Book Section
  3. 3

    Isolated digit speech recognition in Malay language using Neuro-Fuzzy approach by Sabah, R., Ainon, R.N.

    Published 2009
    “…In this paper we discuss the development and implementation of an automated speaker-independent isolated Malay digit speech recognition system. …”
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    Conference or Workshop Item
  4. 4

    VOICE RECOGNITION FOR SECURITY PURPOSES by NOOR ROZALI, NOOR ROHAIZAD

    Published 2007
    “…The system was built by combining a speech recognition system with a speaker recognition system. …”
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    Final Year Project
  5. 5

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

    Published 2009
    “…In this thesis, the development of an algorithm and system that is able to recognize gender and races by using the speech frequency spectrum is presented. …”
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    Learning Object
  6. 6

    An improved method in speech signal input representation based on DTW technique for NN speech recognition system by Sudirman, Rubita, Salleh, Sh. Hussain, Salleh, Shaharuddin

    Published 2007
    “…The paper also proposes the use of pitch feature derived from the recorded speech data as another input feature. The Dynamic Time Warping algorithm (DTW) is the back–bone of the newly developed algorithm called DTW fixing frame algorithm (DTW–FF) which is designed to perform template matching for the input preprocessing. …”
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    Article
  7. 7

    Malay continuous speech recognition using continuous density hidden Markov model by Ting, Chee Ming

    Published 2007
    “…This thesis describes the investigation of the use of Continuous Density Hidden Markov Model (CDHMM) for Malay Automatic Speech Recognition (ASR). The goal of this thesis is to solve the constraints of current Malay ASR that are: speaker-dependent, small vocabulary and isolated words, and provides a basis in developing speaker-independent (SI) Malay large vocabulary continuous speech recognition (LVCSR). …”
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    Thesis
  8. 8
  9. 9

    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition by Babiker, Elsadig Ahmed Mohamed

    Published 2002
    “…A vector quantization model that incorporate rough sets attribute reduction and rules generation with a modified version of the K-means clustering algorithm was developed, implemented and tested as a part of a speech recognition framework, in which the Learning Vector Quantization (LVQ) neural network model was used in the pattern matching stage. …”
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    Thesis
  10. 10

    Multinomial logistic regression probability ratio-based feature vectors for Malay vowel recognition by Atanda, Abdulwahab Funsho

    Published 2021
    “…Vowel Recognition is a part of automatic speech recognition (ASR) systems that classifies speech signals into groups of vowels. …”
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    Thesis
  11. 11

    Malay Language Speech Recognition for Preschool Children using Hidden Markov Model (HMM) System Training by Marlyn Maseri, Mazlina Mamat

    Published 2018
    “…The system is developed by implementing the architecture of HMM-based Recognizer with different feature extraction algorithm. …”
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    Article
  12. 12

    Human computer interaction using isolated-words speech recognition technology by Abu Shariah, Mohammad Abd-Alrahman Mahmoud, Ainon, Raja Noor, Zainuddin, Roziati, Khalifa, Othman Omran

    Published 2007
    “…This research paper aims to develop an isolated-word automatic speech recognition (IWASR) system based on Vector Quantization (VQ). …”
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    Proceeding Paper
  13. 13
  14. 14

    An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab by Bassam Ali Qasem, Al-Qatab

    Published 2020
    “…Automatic speech recognition (ASR) system is increasingly applied as assistive technology to aid an individual with physical disability particularly the speech impaired community such as dysarthria speakers. …”
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    Thesis
  15. 15

    A noise filtering framework in multi-channel speech enhancement system for environmental noises / Pavani Cherukuru by Pavani , Cherukuru

    Published 2023
    “…These algorithms were effective in the reduction of noisy signals and improved the quality of speech. …”
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    Thesis
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  17. 17

    Development of an Isolated Digit Speech Recognition Based on Multilayer Perceptron Model by Mohamad Hussin, Ummu Salmah

    Published 2004
    “…The automatic speech recognition (ASR) field has become one of the leading speech technology areas nowadays. …”
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    Thesis
  18. 18

    A novel lip geometry approach for audio-visual speech recognition by Mohd Zamri, Ibrahim

    Published 2014
    “…By identifying lip movements and characterizing their associations with speech sounds, the performance of speech recognition systems can be improved, particularly when operating in noisy environments. …”
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    Thesis
  19. 19

    iLukBa ver 1.1 : indoor user location system with speech recognition for mobile users by Mantoro, Teddy, Borovac, Amir

    Published 2010
    “…It works with small mobile devices such as PDAs and it is combined with the speech recognition systems on how the environment response delivered to the location of the user. …”
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    Proceeding Paper
  20. 20

    Animal voice recognition for identification (ID) detection system by Yeo, Che Yong, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Ng, Chee Kyun

    Published 2011
    “…Voice recognition systems have become the important applications for speech recognition technology. …”
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    Conference or Workshop Item