Search Results - ((((speech processing) OR (((pre processing) OR (data processing))))) OR (_ processing))
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The effects of planning on second language (L2) learners’ narrative oral production / 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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Pre-processing of input features using LPC and warping process
Published 2005“…This paper presents pre-processing of input features to artificial neural network (NN). …”
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Fir filter for makhraj recognition system
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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SPEAKER IDENTIFICATION SYSTEM FOR GENDER RECOGNITION
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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Comprehensive design and development of time efficiency speaker recognition model from front end to back end
Published 2008“…In the front end process, we introduce some pre-processing techniques to enhance the speech signal. …”
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DTWFF-pitch feature and faster neural network convergence for speech recognition
Published 2007“…This paper presents the pre-processing of speech templates for artificial neural network (ANN). …”
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Malay part of speech tagging using ruled-based approach
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. …”
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Driver behaviour state recognition based on speech
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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Voiced-unvoiced segmentation using time-domain features for improved speech recognition system / Ahmad Akmal Mohd Rosley
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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10
Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language
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. …”
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Cross-platform hate speech detection using an attention-enhanced BiLSTM model
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. …”
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Low Resource Malay Dialect Automatic Speech Recognition Modeling Using Transfer Learning from a Standard Malay Model
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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Variance based time-frequency mask estimation for unsupervised speech enhancement
Published 2019“…The estimated mask is then applied to the pre-processed speech from the first stage to suppress the annoying residual noise distortion. …”
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Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm
Published 2023Conference Paper -
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Time normalization of LPC feature using warping method
Published 2005“…This paper presents pre-processing of input features to artificial neural network (NN). …”
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Semantic mapping : a visual and structured pre-writing strategy in the process of essay writing / 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. …”
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Adaptive model for semantic question answering disambiguation over linked data
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Lexical based sentiment analysis–verb, adverb & negation
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.…”
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Child directed speech: Analysis of teacher-preschool children discourse / 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. …”
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