Signal Processing Methods for Music Transcription
Signal Processing Methods for Music Transcription is the first book dedicated to uniting research related to signal processing algorithms and models for various aspects of music transcription such as pitch analysis, rhythm analysis, percussion transcription, source separation, instrument recognition...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
2006, 2006
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| Edition: | 1st ed. 2006 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Foundations
- to Music Transcription
- An Introduction to Statistical Signal Processing and Spectrum Estimation
- Sparse Adaptive Representations for Musical Signals
- Rhythm and Timbre Analysis
- Beat Tracking and Musical Metre Analysis
- Unpitched Percussion Transcription
- Automatic Classification of Pitched Musical Instrument Sounds
- Multiple Fundamental Frequency Analysis
- Multiple Fundamental Frequency Estimation Based on Generative Models
- Auditory Model-Based Methods for Multiple Fundamental Frequency Estimation
- Unsupervised Learning Methods for Source Separation in Monaural Music Signals
- Entire Systems, Acoustic and Musicological Modelling
- Auditory Scene Analysis in Music Signals
- Music Scene Description
- Singing Transcription