Exploring Music Contents
7th International Symposium, CMMR 2010, Málaga, Spain, June 21-24, 2010. Revised Papers
Published on 15. September 2011
IX, 361 pages
978-3-642-23126-1 (ISBN)
Description
This book constitutes the thoroughly refereed post-proceedings of the 7th International Symposium on Computer Music Modeling and Retrieval, CMMR 2010, held in Málaga, Spain, in June 2010. The 22 revised full papers presented were specially reviewed and revised for inclusion in this proceedings volume. The book is divided in five main chapters which reflect the present challenges within the field of computer music modeling and retrieval. The chapters range from music interaction, composition tools and sound source separation to data mining and music libraries. One chapter is also dedicated to perceptual and cognitive aspects that are currently subject to increased interest in the MIR community.
More details
Other editions
Additional editions
Solvi Ystad | Mitsuko Aramaki | Richard Kronland-Martinet
Exploring Music Contents
7th International Symposium, CMMR 2010, Málaga, Spain, June 21-24, 2010. Revised Papers
Book
09/2011
Springer
€53.49
Shipment within 7-9 days
Content
- Title
- Preface
- Organization
- Table of Contents
- Part I: Music Production, Interaction and Composition Tools
- Probabilistic and Logic-Based Modelling of Harmony
- Introduction
- Background
- A Probabilistic Model for Chord Transcription
- Logic-Based Modelling of Harmony
- Style Characterisation
- Genre Classification
- Genre Classification Using Harmony and Low-Level Features
- Conclusion
- References
- Interactive Music Applications and Standards
- Introduction
- Applications
- Requirements
- Symbolic Information
- Audio Signal Processing
- MPEG-A IM AF
- Mixes
- File Structure
- Related Formats
- IEEE 1599
- iXMF
- Discussion
- References
- Interactive Music with Active Audio CDs
- Introduction
- Source Separation
- Time-Frequency Decomposition
- Informed Source Separation
- Watermarking Process
- Sound Spatialization
- Acoustic Cues
- Binaural Spatialization
- Multi-loudspeaker Spatialization
- Software System
- Usage
- Implementation
- Experiments
- Conclusion and Future Work
- References
- Pitch Gestures in Generative Modeling of Music
- Introduction
- Cognitive and Perceptual Aspects of Rhythm
- Model of Pitch Gestures
- Recreating Pitch Contours in Meter
- Conclusion
- References
- Part II: Music Structure Analysis - Sound Source Separation
- An Entropy Based Method for Local Time-Adaptation of the Spectrogram
- Introduction
- Frame Theory in Sound Analysis and Synthesis
- Basic Definitions and Results
- Multiple Gabor Frames
- Rényi Entropy of Spectrograms
- Best Window for Sinusoids
- The a Parameter
- Time and Frequency Steps
- Algorithm and Examples
- Re-synthesis Method
- Conclusions
- References
- Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC
- Introduction
- Models and Algorithms
- The Poisson Likelihood Model
- Prior Distributions and Sequential MCMC Inference
- Results
- Conclusions and Future Work
- References
- Single Channel Music Sound Separation Based on Spectrogram Decomposition and Note Classification
- Introduction
- The Proposed Separation System
- Music Decomposition by NMF
- Feature Extraction
- Classification of Musical Notes
- K-NN Classifier
- Parameter Selection
- Data Preparation
- Phase Generation and Source Reconstruction
- Evaluations
- Discussions
- Conclusions
- References
- Notes on Nonnegative Tensor Factorization of the Spectrogram for Audio Source Separation: Statistical Insights and Towards Self-Clustering of the Spatial Cues
- Introduction
- Statistical Models to NTF
- Models of Multichannel Audio
- A Statistical Interpretation of KL-NTF
- A Statistical Interpretation of IS-NTF
- Algorithms for NTF
- Standard NTF
- Cluster NTF
- Results
- Conclusions
- References
- Part III: Auditory Perception, Artificial Intelligence and Cognition
- What Signal Processing Can Do for the Music
- Introduction
- Music Content Management
- 3D Environment for Music Content Exploration
- Evaluation of Music Similarity Based on Tonal Behavior
- Cultural Heritage Preservation and Diffusion
- A Prototype for an OMR System
- Tools for Technology-Enhanced Learning and Revolutionary Learning Appliances
- Tool for Piano Learning
- Tool for Violin Learning
- Tool for String and Fret Estimation in Guitar
- Lightweight Pitch Detector for Embedded Systems Using Neural Networks
- Conclusions
- References
- Speech/Music Discrimination in Audio Podcast Using Structural Segmentation and Timbre Recognition
- Introduction
- Related Work
- Classification Frameworks
- Acoustical Correlates of Timbre
- Classification Based on Automatic Timbre Recognition (ATR)
- Classification Based on Automatic Structural Segmentation and Timbre Recognition (ASS/ATR)
- Experiments
- Protocols
- Database
- Evaluation Measures
- Results and Discussion
- Influence of the Training Class Taxonomies in the ATR Model
- Comparison between ATR and ASS/ATR
- Summary and Conclusions
- References
- Computer Music Cloud
- Computer Aided Composition
- Cloud Computing
- EvMusic Representation
- Composing in the Cloud: A New Paradigm
- Computer Music Cloud (CMC)
- Music Web Services
- User Interface: A Music Web Application
- EvEditor Client
- Server Side
- MusicJSON Music Format
- Database Object Storage
- MusicJSON Object Description
- MusicJSON File
- Conclusion
- References
- Abstract Sounds and Their Applications in Audio and Perception Research
- Introduction
- The Acousmatic Approach
- Design of Listening Tests Using Abstract Sounds
- Stimuli
- Procedure
- Type of Listening
- Potentials of Abstract Sounds
- Bizarre and Familiar Sounds
- Reduction of Linguistic Mediation and Access to Different Meanings
- Sound Synthesis
- Conclusion
- References
- Part IV: Analysis and Data Mining
- Pattern Induction and Matching in Music Signals
- Introduction
- Extracting the Object of Interest from Music
- Time-Frequency and Spatial Analysis
- Separating Percussive Sounds from the Harmonic Part
- Extracting Melody and Bass Line
- Instrument Separation from Polyphonic Music
- Pattern Induction
- Pattern Segmentation and Clustering
- Self-distance Matrix
- Lempel-Ziv-Welch Family of Algorithms
- Markov Models for Sequence Prediction
- Interaction between Pattern Induction and Source Separation
- Pattern Matching
- Temporal Alignment Problem in Pattern Comparison
- Melodic Pattern Matching
- Patterns in Polyphonic Pitch Data
- Chord Sequences
- Drum Patterns and Rhythms
- Conclusions
- References
- Unsupervised Analysis and Generation of Audio Percussion Sequences
- Introduction
- Unsupervised Sound Analysis
- Segmentation
- Symbolization
- Level Selection
- Beat Alignment
- Statistical Model Learning
- Generation Strategies
- Evaluation and Examples
- Discussion
- References
- Identifying Attack Articulations in Classical Guitar
- Introduction
- Related Work
- Methodology
- Extraction
- Classification
- Experiments
- Recordings
- Experiments with Extraction Module
- Experiments with Classification Module
- Experiments with the whole system
- Conclusions
- References
- Comparing Approaches to the Similarity of Musical Chord Sequences
- Introduction
- Background: Similarity Measures for Chord Sequences
- Tonal Pitch Step Distance
- Chord Sequence Alignment System
- Other Methods for Harmonic Similarity
- A Chord Sequence Corpus
- Experiment: Comparing Retrieval Performance
- Tasks
- Results
- Concluding Remarks
- References
- Part V: MIR - Music Libraries
- Songs2See and GlobalMusic2One: Two Applied Research Projects in Music Information Retrieval at Fraunhofer IDMT
- Introduction
- Songs2See
- Research Results
- Development Results
- GlobalMusic2One
- Research Results
- Development Results
- Conclusions and Outlook
- References
- MusicGalaxy: A Multi-focus Zoomable Interface for Multi-facet Exploration of Music Collections
- Introduction
- Related Work
- Outline
- Underlying Techniques
- Features and Facets
- Projection
- Lens Distortion
- Visualization Metaphor
- Filtering
- Interaction
- Panning and Zooming
- Focusing
- Adapting the Aggregation Functions
- Evaluation
- Experimental Setup
- Results
- Conclusion
- References
- A Database Approach to Symbolic Music Content Management
- Introduction
- Related Work
- Architecture
- Approach Overview
- Description of the Neuma Platform
- The Data Model
- Preliminaries
- The Relational Algebra Alg$_(R)$
- The Time Series Algebra Alg(TS)
- Example: Pattern Matching Using the DTW Distance
- User Query Language
- Overview
- Query Structure
- Query Syntax
- Query Evaluation
- Algebraic Equivalences
- Conclusion and Ongoing Work
- References
- Error-Tolerant Content-Based Music-Retrieval with Mathematical Morphology
- Introduction
- Representation and Problem Specifications
- Background
- Related Work
- Mathematical Morphology
- Algorithms
- Allowing Partial Matches
- Tolerating Jittering
- Combining the Two
- Line Segment Representation
- Applying Hit-Miss Transform
- Experiments
- Adjusting the Time Resolution
- Pointset Representation
- Line Segment Representation
- Finding Fugue Theme Entries
- Conclusions
- References
- Melodic Similarity through Shape Similarity
- Introduction
- Melodic Similarity Requirements
- Vertical Requirements
- Horizontal Requirements
- General Solutions to the Requirements
- Vertical Requirements
- Horizontal Requirements
- A Model Based on Interpolation
- Measuring Dissimilarity with the Change in Shape
- Interpolation with Splines
- Implementation
- Melody Representation
- Melody Alignment
- Experimental Results
- Normalization Factor ?
- Evaluation with the Train05 Test Collection, Any-1 Ground Truth Lists
- Evaluation with the Eval05 Test Collection, Any-1 Ground Truth Lists
- Conclusions and Future Work
- References
- Content-Based Music Discovery
- Introduction
- Automatic Music Recommendation
- Mufin's Hybrid Approach
- Mufin Vision
- Further Work
- References
- Author Index
