[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118534-en":3,"doc-seo-118534-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118534,962075114101,"Seraphina","https://ap-avatar.wpscdn.com/avatar/e000253a75eb197efd?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780044092746381165",8,"Research & Report","Speech Emotion Recognition Using Machine Learning Techniques - Master of Science Thesis","The thesis develops an end-to-end approach for Speech Emotion Recognition using machine learning techniques, grounded in a structured review of prior methods and ongoing challenges. It presents a research problem, motivations, and technical approach, then organizes the study through literature synthesis, feature extraction and selection, and model development. Experimental analysis evaluates the effectiveness of machine learning and deep learning strategies for recognizing emotional states from speech signals. The work concludes with limitations and recommendations to guide future improvements and more robust emotion recognition.","CALIFORNIA STATE UNIVERSITY, NORTHRIDGE  \nSPEECH EMOTION RECOGNITION USING MACHINE LEARNING TECHNIQUES  \nA thesis submitted in partial fulfilment of the requirements For the degree of Master of Science in Computer Science  \nBy  \nManvitha Kiran Singareddy  \nCopyright by Manvitha Kiran Singareddy 2024  \nThe thesis of Manvitha Kiran Singareddy is approved:  \nDr. Robert McIlhenny Date  \nDr. Katya Mkrtchyan  \nDate  \nDr. Mahdi Ebrahimi, Ph.D, Chair Date  \nCalifornia State University, Northridge  \nAcknowledgement  \nI am deeply grateful to Professor Mahdi Ebrahimi for his outstanding leadership as head of my thesis committee. I am grateful for the persistent support, excellent counsel, and thoughtful observations which have had a significant impact on the course of my thesis.  \nI would also want to express my deepest gratitude to Professor Robert McIlhenny for graciously sharing crucial thoughts on my project despite their hectic schedule with many thesis committees. Their efforts have substantially improved the quality of my work, and I really appreciate their unwavering support.  \nI am also thankful to Professor Katya Mkrtchyan for providing attentive responses and valuable suggestions to my thesis. Their adherence to academic brilliance and close attention to detail have had a significant influence on my academic experience.  \nFinally, I would want to thank my parents for their ongoing support and conviction in my skills. Their sacrifices, support, and limitless love have been the foundation of my path. I owe this triumph to their unwavering support and am grateful for their years of encouragement and affection.  \nDedication  \nThis thesis is dedicated to the amazing individuals who have supported me throughout my educational path. I would want to convey my heartfelt thanks to my peers and guides for their important advice and persistent belief in me. Your help has been like an indication of energy, helping me through difficulties and uncertainty.  \nTo my family, I am eternally grateful for your love, sacrifice, and unwavering support. Your support has given me the courage to overcome hurdles and accomplish what previously seemed unachievable.  \nI would additionally like to acknowledge my wonderful friends for bringing fulfillment into my life and offering comfort at difficult moments. Your companionship has been a beautiful contribution, reminding me of the value of life outside academic circles.  \nFinally, thank you to everyone who contributed to this intellectual endeavor, no matter the modest of their contribution. This accomplishment is the consequence of our collaborative efforts and mutual acceptance of my talents. I sincerely thank each one of you for being a part of this experience.  \nTable Of Contents  \nCopyright Page............................................................................................................................ ii  \nSignatures Page .......................................................................................................................... iii  \nAcknowledgement ......................................................................................................................iv  \nDedication ................................................................................................................................... v  \nList of Figures .......................................................................................................................... viii  \nList of Tables..............................................................................................................................ix  \nAbstract....................................................................................................................................... x  \nCHAPTER 1-Introduction ......................................................................................................... 1  \n1.1 Background and Context of the study ........................................................","cbCaiuc8G6Yw05YU","https://ap.wps.com/l/cbCaiuc8G6Yw05YU","pdf",1276354,1,92,"English","en",105,"# Chapter 1 - Introduction\n## Background and Context of the study\n## Statement of Problem\n## Aim\n## Research Objective\n## Technical Approach\n## Motivation and Significance of the Study\n# Chapter 2 - Literature Review\n## Introduction\n## Introduction to Speech Emotion Recognition\n## Progression of Methodologies: Ahistorical Overview\n## Machine Learning Techniques in Emotion Recognition\n## Deep Learning in Emotion Recognition\n## Feature Extraction and Selection\n## Existing Challenges\n## Recommendations\n## Limitations\n# Chapter 3 - Experimental Analysis","[{\"question\":\"What problem does the thesis address?\",\"answer\":\"The thesis focuses on Speech Emotion Recognition and defines the statement of problem and research aim to guide the study.\"},{\"question\":\"How does the thesis structure its research approach?\",\"answer\":\"It combines a literature review with a technical approach that includes research objectives, motivation, feature extraction and selection, and experimental analysis.\"},{\"question\":\"Which techniques are emphasized for emotion recognition?\",\"answer\":\"The thesis emphasizes both machine learning techniques and deep learning methods, along with feature extraction and selection to support recognition performance.\"}]","Speech Emotion Recognition Using Machine Learning Techniques - 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