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

Search alternatives:

Refine Results
  1. 1
    The effects of planning on second language (L2) learners’ narrative oral production / Guo Zhonglan

    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. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Pre-processing of input features using LPC and warping process

    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
    Save to List
    Saved in:
  3. 3
    Fir filter for makhraj recognition system

    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
    Save to List
    Saved in:
  4. 4
    SPEAKER IDENTIFICATION SYSTEM FOR GENDER RECOGNITION

    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
    Save to List
    Saved in:
  5. 5
    Comprehensive design and development of time efficiency speaker recognition model from front end to back end

    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
    Save to List
    Saved in:
  6. 6
    DTWFF-pitch feature and faster neural network convergence for speech recognition

    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
    Save to List
    Saved in:
  7. 7
    Malay part of speech tagging using ruled-based approach

    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
    Save to List
    Saved in:
  8. 8
    Driver behaviour state recognition based on speech

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Voiced-unvoiced segmentation using time-domain features for improved speech recognition system / Ahmad Akmal Mohd Rosley

    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
    Save to List
    Saved in:
  10. 10
    Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language

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

    Published 2016
    “…The process of data model extraction will be more difficult if the information held is irrelevant or contains redundancies, or if the data obtained contains high noise. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Cross-platform hate speech detection using an attention-enhanced BiLSTM model

    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
    “…The approach combines a Bidirectional Long Short-Term Memory (BiLSTM) model with a self-attention mechanism to capture contextual depth. Various data embedding techniques were used to assess their impact, along with data resampling and standard Natural Language Processing (NLP) pre-processing steps. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Low Resource Malay Dialect Automatic Speech Recognition Modeling Using Transfer Learning from a Standard Malay Model

    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
    Save to List
    Saved in:
  13. 13
    Variance based time-frequency mask estimation for unsupervised speech enhancement

    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
    Save to List
    Saved in:
  14. 14
    Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm

    Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm by Abdulwahid S., Mahmoud M.A., Abdulwahid N.

    Published 2023
    Conference Paper
    Save to List
    Saved in:
  15. 15
    Time normalization of LPC feature using warping method

    Time normalization of LPC feature using warping method by Sudirman, Rubita, Salleh, Sh. Hussain, Khalid, Puspa Inayat, Ahmad, Abd. Hamid

    Published 2005
    “…This paper presents pre-processing of input features to artificial neural network (NN). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Semantic mapping : a visual and structured pre-writing strategy in the process of essay writing / Mah Boon Yih

    Semantic mapping : a visual and structured pre-writing strategy in the process of essay writing / Mah Boon Yih by Mah, Boon Yih

    Published 2011
    “…The objective of this study is to exemplify the students' feedback during and after the implementation of semantic mapping in the essay writing process. The data was collected via observation and interview. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Adaptive model for semantic question answering disambiguation over linked data

    Adaptive model for semantic question answering disambiguation over linked data by Sofian, Hazrina

    Published 2018
    Subjects: Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    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
    Subjects: Get full text
    Working Paper
    Save to List
    Saved in:
  19. 19
    Lexical based sentiment analysis–verb, adverb & negation

    Lexical based sentiment analysis–verb, adverb & negation by Basiron, Halizah, Shamsudin, Nurul Fathiyah, Sa'aya, Zurina

    Published 2016
    “…Sentiment analysis becomes challenging when dealing with noisy data.The objective of this paper is to introduce a lexical based method in classifying sentiment of Facebook comments in Malay language.Two types of lexical based techniques namely Term Counting and Term Counting Average are implemented in order to classify the sentiment of Facebook comments.Several parts of speech tags are being taken into account.Pre-processing process is involved in dealing noisy texts in data.Term Counting works better for adjectives and adverbs while Term Counting Average performs better for verbs and negation words.…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Child directed speech: Analysis of teacher-preschool children discourse / Nasimah Abdul Wahab

    Child directed speech: Analysis of teacher-preschool children discourse / Nasimah Abdul Wahab by Nasimah, Abdul Wahab

    Published 2015
    “…Pilot study was done pre-recording to anticipate difficulties that might be encountered in the course of conducting the study and in the process of video-recording the discourse happening between the teacher and the preschool children. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: