Speech, Sound and Music Processing: Embracing Research in India

Name: Speech, Sound and Music Processing: Embracing Research in India | 8th International Symposium, CMMR 2011 and 20th International Symposium, FRSM 2011, Bhubaneswar, India, March 9-12, 2011, Revised Selected Papers
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8th International Symposium, CMMR 2011 and 20th International Symposium, FRSM 2011, Bhubaneswar, India, March 9-12, 2011, Revised Selected Papers

Sølvi Ystad Mitsuko Aramaki Richard Kronland-Martinet Kristoffer Jensen Sanghamitra Mohanty(Herausgeber*in)

Springer (Verlag)

Erschienen am 2. Juli 2012

X, 238 Seiten

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Beschreibung

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Inhalt

Intro
Title
Preface
Organization
Table of Contents
Part I: Indian Music
Objective Assessment of Ornamentation in Indian Classical Singing
Introduction
Related Work
Methodology
Reference and Test Datasets
Subjective Assessment
Procedure for Computational Modeling and Validation
Subjective Relevance of Pitch Contour
Glide Assessment
Database
Objective Measures
Validation Results and Discussion
Assessment of Oscillations-on-Glide
Database
Modeling Parameters
Implementation of Objective Measures
Results and Discussion
Conclusion
References
Optimized Neural Architecture for Time Series Prediction Using Raga Notes
Introduction
Neural Network and Music
Artificial Neural Network Approach to Time Series Modeling
Prediction Model
Prediction Algorithm
Preliminary Data Analysis
Data Preprocessing
Network Architecture
Result and Discussions
Mean Square Error of the Predicted Output
Conclusion
References
Meter Detection from Audio for Indian Music
Introduction
Previous Work on Meter Detection
Meter in Indian Music
System Implementation
Pre-processing
Tatum Extraction
Meter Extraction
Experimental Evaluation
Database
Evaluation and Results
Discussion
Conclusion and Future Work
References
Assessment of Level of Recovery of Cognitive Impairment in the Cerebrovascular Accident and Head Injuries Cases: Therapeutic Impact of North Indian Ragas
Introduction
Literature Review
Experiment
Participants
Stimuli
Procedure
Results (Interim Analysis)-Based on MMSE and PGIBBD-MS Score
Conclusion
References
On Tanpura Drone and Brain Electrical Correlates
Introduction
Method
Global Descriptors
Results
Acoustical Analysis of EST Drones
EEG Correlates
Peripheral Physiology
Discussion
Concluding Remarks
References
Part II: Music Information Retrieval
Musical Instrument Identification Based on New Boosting Algorithm with Probabilistic Decisions
Introduction
Feature Extraction
New Boosting Algorithm for Instrument Identification
Experiments
Conclusion
References
Music Genre Classification Using an Auditory Memory Model
Introduction
Memory Models
Encoding in Memory Models
Chunks in the Auditory Memory
Auditory Memory Content
Sensory Dissonance
Experiment
Conclusion
References
Interactive Music 3.0: Empowering People to Participate Musically Inside Nightclubs
Introduction
Background
Interactive Nightclub
Motion Capture
Music Information Retrieval
Body-Music Mapping
Works
Interactive Nightclub
Dance Jockey
Conclusions
Discussion
Future Work
References
Hierarchical Clustering of Music Database Based on HMM and Markov Chain for Search Efficiency
Introduction
Data Organization and Clustering
Chord Transition Modeling with HMM
Notes Transition Modeling with Markov Chain
Pattern Matching
Scale Shifting and Search Diversion
Conclusion
References
Part III: Sound Analysis-Synthesis and Perception
Fundamental Frequency Modulation in Singing Voice Synthesis
Background
f0 Modulation in Speech and Singing
Terminology
Approaches to Synthetic Drift
Experimental Measurement of Drift in Singing Drift in Singing
Compiling a Dataset
Feature Extraction
Findings
Comparison of Models
Modelling Drift in Singing Voice Synthesis
Model Parameters
Probabilistic Model
Proposed Explanation
Subjective Evaluation of Models
Conclusion
Future Work
References
Auditory Time-Frequency Masking: Psychoacoustical Data and Application to Audio Representations
Introduction
Representations of Sound Signals in Audio Signal Processing
State-of-the-Art on Auditory Masking
Models of Auditory Masking
Outline of the Present Study
Psychoacoustical Measurements of Masking Using Gaussian Stimuli
General Methods
Results
Accuracy of Simple Time-Frequency Masking Models Used in Perceptual Audio Codecs
Interim Summary
Exploiting Time-Frequency Masking in a Time-Frequency Transform: Improvement of the Irrelevance Filter Algorithm
Choice of the Signal Representation: Wavelet Transform
Implementation of the Irrelevance Filter
Results
Discussion
Summary and Conclusions
References
Perceptual Control of Environmental Sound Synthesis
Introduction
Impact Sound Synthesizer
Invariant Sound Structures Characterizing Impact Sounds
Control of the Impact Sound Synthesizer
Immersive Environmental Sound Synthesizer
Invariant Sound Structures Characterizing Environmental Sounds
Control of the Environmental Sound Synthesizer
Synthesis of Evoked Motion
Invariant Structures of Evoked Motion
Control of Evoked Motion
Conclusion and Discussion
References
Part IV: Speech Processing of Indian Languages
Recognition of Assamese Phonemes Using RNN Based Recognizer
Introduction
Assamese Language and Its Phonological Features
System Description
The Feature Extractor
MLP Based Phoneme Segmenter
Recurrent Neural Network Based Phoneme Recognizer
Database Description
Experiment
The All-in-One Phoneme Recognizer
The Class Based Phoneme Recognizer
Experiment with Speaker Variability
Experiment with Channel Variability
Cepstral Mean Normalization
Conclusion
References
A System for Analysis of Large Scale Speech Data for the Development of Rules of Intonation for Speech Synthesis
Introduction
Methodology
Experimental Procedures
Results
Conclusion
References
Adaptive and Iterative Wiener Filter for Oriya Speech Processing Applications
Introduction
The Proposed Adaptive and Iterative Wiener Filter
Experiment and Result
Conclusions
References
On the Role of Formants in Cognition of Vowels and Place of Articulation of Plosives
Introduction
Machine Identification of Place of Articulation of Plosives
Experimental Procedure
Results
Cognitive Study
Manipulation of the Signals
Preparation of the Listening Set
Results and Discussions
Conclusion
References
Author Index

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