Toward Evolution Strategies Application in Automatic Polyphonic Music Transcription using Electronic Synthesis
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 3
Abstract
We present in this paper a new approach for polyphonic music transcription using evolution strategies (ES). Automatic music transcription is a complex process that still remains an open challenge. Using an audio signal to be transcribed as target for our ES, information needed to generate a MIDI file can be extracted from this latter one. Many techniques presented in the literature at present exist and a few of them have applied evolutionary algorithms to address this problem in the context of considering it as a search space problem. However, ES have never been applied until now. The experiments showed that by using these machines learning tools, some shortcomings presented by other evolutionary algorithms based approaches for transcription can be solved. They include the computation cost and the time for convergence. As evolution strategies use self-adapting parameters, we show in this paper that by correctly tuning the value of its strategy parameter that controls the standard deviation, a fast convergence can be triggered toward the optima, which from the results performs the transcription of the music with good accuracy and in a short time. In the same context, the computation task is tackled using parallelization techniques thus reducing the computation time and the transcription time in the overall.
Authors and Affiliations
Herve Kabamba Mbikayi
Keywords
Related Articles
- EP ID EP135724
- DOI 10.14569/IJACSA.2013.040337
- Views 121
- Downloads 0
Prediction of Stroke using Data Mining Classification Techniques
Stroke is a neurological disease that occurs when a brain cells die as a result of oxygen and nutrient deficiency. Stroke detection within the first few hours improves the chances to prevent complications and improve hea...
Diabetes Disease Diagnosis Method based on Feature Extraction using K-SVM
Nowadays, diabetes disease is considered one of the key reasons of death among the people in the world. The availability of extensive medical information leads to the search for proper tools to support physicians to diag...
Improved-Node-Probability Method for Decision Making in Priority Determination of Village Development Proposed Program
This research proposes a new method, the probability of nodes (NP) and the cumulative frequency of indicators within the framework of Bayesian networks to calculate the weight of participation. This method uses the PLS-P...
A Constraint-based Approach to Deal with Self-Adaptation: The Case of Smart Irrigation Systems
Smart irrigation is a specific application of the IoT, where devices composed of sensors and actuators, collect environmental data, like soil humidity, air temperature and brightness, in order to lunch or plan irrigation...
Method for Texture Mapping of In-Vehicle Camera Image in 3D Map Creation
Method for texture mapping of in-vehicle camera image in 3D map creation is proposed. Top view of ground cover targets can be mapped easily. For instance, aerial photos, high spatial resolution of satellite imagery data...