Search Results - ((speech processing) OR (((((pre processing) OR (image processing))) OR (data processing))))

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  1. 1

    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language by Sutarman, .

    Published 2016
    “…In the existing work of Sign Language Recognition, most researchers divide the process in four main steps: image acquisition, pre-processing, features extraction and classification. …”
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    Thesis
  2. 2

    The effects of planning on second language (L2) learners’ narrative oral production / Guo Zhonglan by Guo, Zhonglan

    Published 2014
    “…Nevertheless, Yuan and Ellis (2003) theoretically analyzed learners’ planning process. They did not collect data to analyze how learners approached the task. …”
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    Thesis
  3. 3

    Neuragen- a low-resource neural network-based approach for gender classification / Shankhanil Ghosh, Chhanda Saha and Nagamani Molakatala by Ghosh, Shankhanil, Saha, Chhanda, Molakatala, Nagamani

    Published 2021
    “…The proposed tool used to classify gender of the speaker from the speech recordings. We have used speech recordings collected from the ELSDSR and limited TIMIT datasets, from which we extracted 8 speech features, which were pre-processed and then fed into NeuraGen to identify the gender. …”
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    Book Section
  4. 4

    Pre-processing of input features using LPC and warping process by Sudirman, Rubita, Sh-Hussain, Salleh, Ming, Ting Chee

    Published 2005
    “…This paper presents pre-processing of input features to artificial neural network (NN). …”
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    Article
  5. 5

    Evaluation of sparsifying algorithms for speech signals by Kassim, Liban A., Khalifa, Othman Omran, Gunawan, Teddy Surya

    Published 2012
    “…Sparsity is important also in speech compression and coding, where the signal can be compressed in pre-processing stages. …”
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    Proceeding Paper
  6. 6

    Gender classification based on asian faces using deep learning by Janahiraman T.V., Subramaniam P.

    Published 2023
    “…Face recognition; Human computer interaction; Image classification; Learning algorithms; Natural language processing systems; Neural networks; Speech recognition; Systems engineering; Convolutional neural network; Gender classification; Learning architectures; Learning frameworks; NAtural language processing; Recognition accuracy; Recognition process; TensorFlow; Deep learning…”
    Conference Paper
  7. 7

    Deep learning based emotion recognition for image and video signals: matlab implementation by Ashraf, Arselan, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2021
    “…Five emotions are considered for recognition: angry, happy, neutral, sad, and surprise, compared to previous algorithms. Different pre-processing steps have been carried over data samples, followed by the popular and efficient Viola-Jones algorithm for face detection. …”
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    Book
  8. 8

    Fir filter for makhraj recognition system by Aimi Nadia, Azmi

    Published 2010
    “…A particular objective of the invention is to recognize the correct makhraj pronounce for the recognition analysis using pre-processing data base Matlab. In this project, speech processing for makhraj recognition is built using Finite Impulse Response (FIR) filter. …”
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    Undergraduates Project Papers
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    Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.] by Mazani, Muhammad Naim, Abdul-Rahman, Shuzlina, Mutalib, Sofianita

    Published 2020
    “…Thus, determining the right techniques for pre-processing such data would be a challenge. The objectives of this study are to pre-process the scanned images and apply the image recognition algorithm for lane detection. …”
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    Article
  11. 11

    SPEAKER IDENTIFICATION SYSTEM FOR GENDER RECOGNITION by Madelina, Kudam

    Published 2019
    “…Gender Recognition through speech is the system to identify the gender of the speaker by analysing and processing a specific input speech signal. …”
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    Final Year Project Report / IMRAD
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    Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification by Mohd Nizom, Ahmad Nabil

    Published 2018
    “…The algorithms to be developed will consist of pre-processing, enhancement and image segmentation. …”
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    Monograph
  15. 15

    Bass Fish Measurement System (Bass) by Nadzirah Irfani, Fathi

    Published 2023
    “…The BASS was designed by using an image processing tool which consists of data acquisition, image pre-processing, and measurement in Python with OpenCV library. …”
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    Final Year Project Report / IMRAD
  16. 16

    Comprehensive design and development of time efficiency speaker recognition model from front end to back end by Ahmad, Abdul Manan, Loh, Mun Yee

    Published 2008
    “…In the front end process, we introduce some pre-processing techniques to enhance the speech signal. …”
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    Article
  17. 17

    DTWFF-pitch feature and faster neural network convergence for speech recognition by Sudirman, Rubita, Salleh, Sh. Hussain, Salleh, Shaharuddin

    Published 2007
    “…This paper presents the pre-processing of speech templates for artificial neural network (ANN). …”
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    Article
  18. 18

    Driver behaviour state recognition based on speech by Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab, Halim, Khairul Ikhwan Mohamad, Mohd Noh, Muhammad Hafiq Iqmal

    Published 2018
    “…However, the massive amount of driving speech data may hinder optimal performance of processing and analyzing the data due to the computational complexity and time constraint. …”
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    Article
  19. 19

    Voiced-unvoiced segmentation using time-domain features for improved speech recognition system / Ahmad Akmal Mohd Rosley by Mohd Rosley, Ahmad Akmal

    Published 2025
    “…This thesis explores a method for voiced-unvoiced segmentation using time-domain features to enhance speech recognition systems. Voiced unvoiced segmentation is the process of identifying both voiced and unvoiced parts of a spoken stream. …”
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    Thesis
  20. 20

    Low Resource Malay Dialect Automatic Speech Recognition Modeling Using Transfer Learning from a Standard Malay Model by Tan, Tien Ping, Lei, Qin, Sarah Flora, Samson Juan, Jasmina Khaw, Yen Min

    Published 2024
    “…The fine-tuning process is usually completed by freezing the pre-trained layers and training the remaining layers of the model on the low-resource language corpus. …”
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    Article