Advances in speech and music technology : computational aspects and applications / Anupam Biswas, Emile Wennekes, Alicja Wieczorkowska, Rabul Hussain Laskar, editors.
Biswas, Anupam, editor.; Wennekes, Emile, 1963- editor.; Wieczorkowska, Alicja A., editor.; Laskar, Rabul Hussain, editor.
2022
TK7882.S65 A38 2022
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Advances in speech and music technology : computational aspects and applications / Anupam Biswas, Emile Wennekes, Alicja Wieczorkowska, Rabul Hussain Laskar, editors.
ISBN 9783031184444 electronic book
3031184440 electronic book
9783031184437
3031184432
DOI https://doi.org/10.1007/978-3-031-18444-4
Published Cham : Springer, 2022.
Language English
Description 1 online resource (1 volume) : illustrations
Item Number 10.1007/978-3-031-18444-4 doi
Call Number TK7882.S65 A38 2022
Dewey Decimal Classification 006.4/54
Summary 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 processing. 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 applications by considering both theory and practice in the relevant topics; Topics include music information retrieval and spoken language processing that takes into account perception, emotion, mood, and cognition.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Added Author Biswas, Anupam, editor.
Wennekes, Emile, 1963- editor.
Wieczorkowska, Alicja A., editor.
Laskar, Rabul Hussain, editor.
Series Signals and communication technology.
Available in Other Form Advances in speech and music technology.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
State-of-the-Art
A comprehensive review on Speaker Recognition
Music Composition with Deep Learning: A Review
Music Recommendation Systems: Overview and Challenges
Music Recommender Systems: A Review Centered on Biases
Computational Approaches for Indian Classical Music: A Comprehensive Review
Machine Learning
A Study on Effectiveness of Deep Neural Networks for Speech Signal Enhancement in Comparison with Wiener Filtering Technique
Video Soundtrack Evaluation with Machine Learning: Data Availability, Feature Extraction and Classification
Deep Learning Approach to Joint Identification of Instrument, Shruthi and Raga for Indian Classical Music
Comparison of Convolutional Neural Networks and K-Nearest Neighbours for Music Instrument Recognition
Emotion Recognition in Music using Deep Neural Networks
Perception, Health and Emotion
Music to Ears in Hearing Impaired-Signal Processing Advancements in Hearing Amplification Devices
Music Therapy - A Best Way to Solve Anxiety and Depression in Diabetes Mellitus Patients
Music and Stress During Covid-19 Lockdown: Influence of Locus of Control and Coping Styles on Musical Preferences
Biophysics of Brain Plasticity and Its Correlation to Music Learning
Dealing with Emotional Speech and Text: A Special Focus on Bengali Language
Case Studies
Duplicate Detection for Digital Audio Archive Management: Two Case Studies
Section Order, Refrain Perception, and the Interpretation of a Songs Meaning
Musical Influence on Visual Aesthetics: An Exploration on Intermediality using Audience Response, Feature and Fractal Analysis
Influence of Musical Acoustics on Graphic Design: An Exploration with Indian Classical Music Album Cover Design
A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
Inharmonic Frequency Analysis of Tabla Strokes in North Indian Classical Music.

Browse Subjects

Show more subjects...

Statistics

from
to
Export