Search Results - ((speech processing) OR (((image processing) OR (data processing))))
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1
A HYBRID APPROACH IN ACHIEVING ACCURACY AND ROBUSTNESS FOR BIMODAL EMOTION DETECTION THROUGH SPEECH AND FACIAL EXPRESSIONS
Published 2019“…Improper synchronisation, data correlation, and relationship between human emotions are common issues in emotion detection via facial expressions in speech processing. …”
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2
A review of audio-visual speech recognition
Published 2018“…The aim of this paper is to discuss the AVSR structures, which includes the front end processes, audio-visual data corpus used, recent works and accuracy estimation methods.…”
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3
An overview of analysis of medical images using data visualization and deep learning applications
Published 2022“…Regarding the importance of the right diagnosis in medical applications, various methods have been exploited for processing medical images. Machine Learning(ML)techniques have shown their unique capabilities in the field of medical image processing and segmentation.In recent years, efforts have been made to develop more accurate and efficient ML methodology for segmenting medical and natural images. …”
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Artificial speech detection using image-based features and random forest classifier
Published 2022“…This paper presents an approach that uses data transformation techniques to engineer image-based features together with random forest classifier to detect artificial speech. …”
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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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Neuragen- a low-resource neural network-based approach for gender classification / Shankhanil Ghosh, Chhanda Saha and Nagamani Molakatala
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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7
Voice to Sign Language Translator System
Published 2007“…The process of learning the sign language may be cumbersome to some, and therefore, this project proposes a solution to this problem by providing a voice (English Language) to sign language translator system solution using Speech and image processing. …”
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Final Year Project -
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Development of an intelligent agent for speech recognition and translation
Published 2006“…By using mobile agent technology, speech recognition server can perform their task as parallel processing. …”
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Monograph -
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Live facial expression recognition
Published 2022“…However, several issues identified in the research are the high number of queries to a paid FER service, a high amount of data transmission when sending all the camera input frames to the online FER service and the relatively long overall processing time to recognize facial expressions from the original images captured by the smartphone. …”
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Investigating white matter changes in auditory cortex and association fibres related to speech processing in noise-induced hearing loss: A diffusion tensor imaging study
Published 2024“…Conclusions The study’s findings highlight the importance of considering association fibres related to speech processing in treating NIHL, as the broader neural network beyond primary auditory structures is significantly impacted. …”
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Signal compression and enhancement using a new orthogonal-polynomial-based discrete transform
Published 2017“…DKTT was tested using speech and image signals from a well-known database under clean and noisy environments. …”
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A multimodal analysis of graphic novels used in the Malaysian English language classroom / Thusha Rani Rajendra
Published 2016“…The use of Conceptual Processes demonstrates the reliance on images that are static. …”
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13
V2S: Voice to Sign Language Translation System for Malaysian Deaf People
Published 2009“…The process of learning and understand the sign language may be cumbersome to some, and therefore, this paper proposes a solution to this problem by providing a voice (English Language) to sign language translation system using Speech and Image processing technique. …”
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14
Fusion of speech and handwritten signatures biometrics for person identification
Published 2023“…Once the best matches for both the speech and the handwritten signatures API are produced, the fusion process takes place at decision level. …”
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Convolutional neural network model in machine learning methods and computer vision for image recognition: a review
Published 2018“…This training method also allows models that are composed of multiple processing layers to learn representation of data with multiple levels of abstraction.…”
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Autonomous language processing for business solutions
Published 2021“…A speech analytics solution worked with the combination of speech recognition and Natural Language Processing (NLP). …”
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Expert system and its capabilities / Muthukkaruppan Annamalai
Published 1989“…One of the biggest areas in which this new breed of computers will be used is Artificial Intelligence (AI). Conventional data processing is solely based on information in the form of data. …”
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18
Investigating white matter changes in auditory cortex and association fibres related to speech processing in noise-induced hearing loss : A diffusion tensor imaging study
Published 2024“…Conclusions: The study's findings highlight the importance of considering association fibres related to speech processing in treating NIHL, as the broader neural network beyond primary auditory structures is significantly impacted. …”
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A new biometric template protection based on secure data hiding approach
Published 2015“…Simply the proposed hiding method are summarized by dividing the secret data into three sections according to the percentages that have been entered by a user then distribute these sections into the three chosen coefficient sets (HH,HL and LH) of the cover image which is an excellent secure locations for data hiding. …”
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Deep learning based emotion recognition for image and video signals: matlab implementation
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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