An Effective Optimization-Based Neural Network for Musical Note Recognition Allabakash Isak Tamboli, Rajendra D. Kokate Journal of Intelligent Systems, 2019 Musical pitch estimation is used to recognize the musical note pitch or the fundamental frequency (F 0) of an audio signal, which can be applied to a preprocessing part of many applications, such as sound separation and musical note transcription. In this work, a method for musical note recognition based on the classification framework has been designed using an optimization-based neural network (OBNN). A broad range of survey and research was reviewed, and all revealed the methods to recognize the musical notes. An OBNN is used here in recognizing musical notes. Similarly, we can progress the effectiveness of musical note recognition using different methodologies. In this document, the most modern investigations related to musical note recognition are effectively analyzed and put in a nutshell to effectively furnish the traits and classifications.
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MOST CITED SCHOLAR PUBLICATIONS
An effective optimization-based neural network for musical note recognition AI Tamboli, RD Kokate Journal of Intelligent Systems 28 (1), 173-183 , 2019 2019 Citations: 12
Query based relevant music genre retrieval using adaptive artificial neural network for multimedia applications AI Tamboli, RD Kokate Multimedia Tools and Applications 81 (22), 31603-31629 , 2022 2022 Citations: 3
An affine combination of two time varying LMS adaptive filters AM Kaleem, AI Tamboli 2012 International Conference on Communication, Information & Computing … , 2012 2012 Citations: 2