Advances in Speech and Music Technology Proceedings of FRSM 2020 Advances in Intelligent Systems and Computing Anupam Biswas Editor Emile Wennekes Editor Tzung Pei Hong Editor Alicja Wieczorkowska Editor

Advances in Speech and Music Technology Proceedings of FRSM 2020 Advances in Intelligent Systems and Computing Anupam Biswas Editor Emile Wennekes Editor Tzung Pei Hong Editor Alicja Wieczorkowska Editor – Ebook PDF Instant Download/Delivery ISBN: 9789813368804, 9813368802

Product details:

• ISBN 10:9813368802
• ISBN 13:9789813368804
• Author(s): Anupam Biswas, Emile Wennekes, Tzung Pei Hong, Alicja Wieczorkowska 

Table contents:

• Cover
• Front Matter
• Vocal and Instrumental Music Processing
• Music Signal Processing: A Literature Survey
• Effects of Vocal Loading on Singing Power Ratio and Singer’s Formant with Indian Heavy Metal Vocalists
• Audio Quality Control Method Based on ASS (Audio Secret Sharing)
• Noise Removal from Audio Using CNN and Denoiser
• Sine-Wave Speech as Preprocessing for Downstream Tasks
• Style of Vocal Singers in Indian Classical Music: Timbre Approach
• Style Identification of Vocal Singers in Indian Classical Music Using Meend and Andolan
• Computational Music and Speech
• Speech Based Emotion Detection Using R
• Vocalist Identification in Audio Songs Using Convolutional Neural Network
• Swaragram: Shruti-Based Chromagram for Indian Classical Music
• Machine Learning Approach for Audio Surveillance Using R
• An Artificial Intelligence-Based Approach Towards Segregation of Folk Songs
• Shruti Detection Using Machine Learning and Sargam Identification for Instrumental Audio
• Addressing the Recitative Problem in Real-Time Opera Tracking
• Music Information Retrieval
• IFSC: A Database for Indian Folk Songs Classification
• North Indian Classical Music Tabla Tala (Rhythm) Prediction System Using Machine Learning
• Perception of Similarity and Dissimilarity in Hindustani Classical Music
• Analytical Comparison of Classification Models for Raga Identification in Carnatic Classical Audio
• Multimodal Sentiment Analysis of Rabindra Sangeet Through Machine Learning Techniques
• Music Genre Classification with Convolutional Neural Networks and Comparison with F, Q, and Mel Spectrogram-Based Images
• A Simple Statistical Comparison of Bageshree and Bhimpalasi
• Sound Analysis and Cognition
• Effects of Musical Training on Auditory Spatial Processing Abilities: A Psychoacoustical and Perceptual Study
• Effect of Transformation of Vowel Duration on Speech Intelligibility in Children with Hearing Loss
• The Influence of Music on Image Making: An Exploration of Intermediality Between Music Interpretation and Figurative Representation
• Comparison of Neural Network Architectures for Speech Emotion Recognition
• A Comprehensive Review on Analysis Methods, Software, and Application of fMRI for Classification of Alzheimer’s Disease
• A Pilot Study of Indian Ragas-Based Music Therapy for Enhancement of Chronic Patient Health Condition
• Scottish Education: A Model for Strengthening Mental Health—A Case Study in Inclusive Scottish Primary Schools
• Spoken Language Processing
• Language Model Fine-Tuning with Second-Order Optimizer
• Human-to-Robotic Voice Conversion by Employing Wave Patterns Based on Gender and Emotions
• Classifying Hate Speeches Shared in Twitter
• Impact of Visual Representation of Audio Signals for Indian Language Identification
• Bi-Lingual TDNN-LSTM Acoustic Modeling for Limited Resource Hindi and Marathi Language ASR
• Vowel-Based Acoustic and Prosodic Study of Three Manipuri Dialects
• A Continuous Speech Recognition System for Bangla Language
• Indian Language Speech Label (ILSL): A De Facto National Standard
• Back Matter

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