Search Results - ((speech processing) OR (((pre processing) OR (_ processing))))

Search alternatives:

Refine Results
  1. 1

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

    Published 2014
    “…To understand the learners’ planning process, information from post-task questionnaire was elicited and analyzed qualitatively based on Levelt’s (1989) speech production model. …”
    Get full text
    Get full text
    Thesis
  2. 2

    Variance based time-frequency mask estimation for unsupervised speech enhancement by Saleem, N., Khattak, M.I., Witjaksono, G., Ahmad, G.

    Published 2019
    “…The estimated mask is then applied to the pre-processed speech from the first stage to suppress the annoying residual noise distortion. …”
    Get full text
    Get full text
    Article
  3. 3
  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). …”
    Get full text
    Get full text
    Article
  5. 5

    SMaTTS: standard malay text to speech system by Khalifa, Othman Omran, Ahmad, Zakiah Hanim, Gunawan, Teddy Surya

    Published 2007
    “…The second phase is the Digital Signal Processing (DSP) which operated on the low-level process of the speech waveform generation. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Undergraduates Project Papers
  7. 7

    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. …”
    Get full text
    Get full text
    Final Year Project Report / IMRAD
  8. 8

    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. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  9. 9

    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. …”
    Get full text
    Get full text
    Article
  10. 10

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

    Published 2023
    “…It has proven that the proposed pre-processing and deep learning algorithms performed well at low SNR’s for MCSE under noisy environments. …”
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11

    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). …”
    Get full text
    Get full text
    Get full text
    Article
  12. 12

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    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
    “…This paper presents a silence removal approach using Short Term Energy (STE) and Zero Crossing Rate (ZCR) in the pre-processing phase to reduce the unnecessary processing. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Malay word pronunciation test application for pre-school children by Mohd Yusof, Shahrul Azmi

    Published 2016
    “…Accuracy, noise robustness and processing time are concerns when developing speech therapy systems especially for children. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    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. …”
    Get full text
    Get full text
    Thesis
  16. 16

    Malay part of speech tagging using ruled-based approach by Nur Ashikin Halid, Nazlia Omar

    Published 2017
    “…Next, the corpus has gone through the process of pre-processing in raw text of article form which include sentence splitter and tokenization process to generate an unlabeled corpus. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    An intelligent categorization tool for malay research articles by Mohd Norhisham Razali, Rayner Alfred, Chin, Kim On

    Published 2015
    “…These pre-processing processes include stemming, part-of-speech tagging and named-entity recognition. …”
    Get full text
    Get full text
    Research Report
  18. 18
  19. 19

    Self-regulating functions of L1 private speech during pre-university collaborative L2 reading / Farideh Yaghobian, Moses Samuel and Marzieh Mahmoudi by Yaghobian, Farideh, Samuel, Moses, Mahmoudi, Marzieh

    Published 2017
    “…This article reports on a study of how L1 was used by Persian speaking Pre-university learners of English in their private speech while interacting as they were engaged in L2 reading. …”
    Get full text
    Get full text
    Article
  20. 20

    Cross-platform hate speech detection using an attention-enhanced BiLSTM model by Hussain, Muzammil, Sharif, Waqas, Faheem, Muhammad Rehan, Alsarhan, Yazeed, Elsalamony, Hany A.

    Published 2025
    “…Various data embedding techniques were used to assess their impact, along with data resampling and standard Natural Language Processing (NLP) pre-processing steps. The proposed model achieved 0.93 accuracy with an F1-score of 0.92, outperforming several baseline and state-of-the-art models. …”
    Get full text
    Get full text
    Get full text
    Article