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Titlebook: Advances in Speech and Music Technology; Computational Aspect Anupam Biswas,Emile Wennekes,Rabul Hussain Laskar Book 2023 The Editor(s) (if

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发表于 2025-3-21 18:22:03 | 显示全部楼层 |阅读模式
期刊全称Advances in Speech and Music Technology
期刊简称Computational Aspect
影响因子2023Anupam Biswas,Emile Wennekes,Rabul Hussain Laskar
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发行地址Presents comprehensive coverage of the interdisciplinary aspects of speech and music processing.Offer detailed technological insights and a deep understanding of speech and music processing applicatio
学科分类Signals and Communication Technology
图书封面Titlebook: Advances in Speech and Music Technology; Computational Aspect Anupam Biswas,Emile Wennekes,Rabul Hussain Laskar Book 2023 The Editor(s) (if
影响因子This book presents advances in speech and music in the domain of audio signal processing. The book begins with introductory chapters on the basics of speech and music, and then proceeds to computational aspects of speech and music, including music information retrieval and spoken language processing. The authors discuss the intersection in the field of computer science, musicology and speech analysis, and how the multifaceted nature of speech and music information processing requires unique algorithms, systems using sophisticated signal processing, and machine learning techniques that better extract useful information. The authors discuss how a deep understanding of both speech and music in terms of perception, emotion, mood, gesture and cognition is essential for successful application. Also discussed is the overwhelming amount of data that has been generated across the world that requires efficient processing for better maintenance, retrieval, indexing and querying and how machine learning and artificial intelligence are most suited for these computational tasks. The book provides both technological knowledge and a comprehensive treatment of essential topics in speech and music p
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发表于 2025-3-21 21:03:33 | 显示全部楼层
Music Composition with Deep Learning: A Reviewying music generation models in those categories helps us to measure and understand how deep learning models deal with the complexity and hierarchy of music. We try to answer some of the most relevant open questions for this task by analyzing the ability of current deep learning models to generate m
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Comparison of Convolutional Neural Networks and K-Nearest Neighbors for Music Instrument Recognitionequency cepstral coefficient’s feature vectors are calculated to perform classification. This approach only works for monophonic music and cannot be used for polyphonic music. The model helps to label the unlabelled audio files so that manual annotation can be avoided. The model performed well with
发表于 2025-3-22 14:25:18 | 显示全部楼层
Music to Ears in Hearing Impaired: Signal Processing Advancements in Hearing Amplification Deviceslity and perception of speech sounds in the hearing-impaired population are the use of hearing aids and cochlear implants. Although these devices are primarily meant to amplify speech sounds, their utility is also advocated for music perception. Digital hearing aids employ sophisticated signal proce
发表于 2025-3-22 18:56:58 | 显示全部楼层
Music and Stress During COVID-19 Lockdown: Influence of Locus of Control and Coping Styles on Musicaere the most preferred genres. Participants with a higher internal locus of control, emotion, and problem-focused coping style demonstrated greater use of music in coping with stress. Problem-focused coping showed significant positive correlations with all the music dimensions, and emotion-focused c
发表于 2025-3-22 22:05:23 | 显示全部楼层
Biophysics of Brain Plasticity and Its Correlation to Music Learningn and learning is a correlation between sound waves and the biological changes that they induce in the brain. In this chapter, we highlight how brain plasticity is relatable to music learning by discussing the mechanisms and the experimental evidences.
发表于 2025-3-23 04:13:05 | 显示全部楼层
Analyzing Emotional Speech and Text: A Special Focus on Bengali Languageoles of language independence and the scopes of incorporating multilingual features. We included our observations in developing a bilingual TTS model in English-Bengali language and the problems that we faced in working with multiple languages. Lastly, we have discussed the roles of emotions in spee
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