Md. Omar Faruqe

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Automatically recovering the musical notation for a given signal allows reproducing and modifying the original performance. Music transcription can be considered as extracting the sequence of the notes that best models our audio signal. So it is understood as the process of analyzing a music signal in order to write down the parameters of the sounds(More)
Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development and modern Human Computer Interaction. EMG signals acquired from muscles require advanced methods for detection, decomposition, processing, and classification. For properly analyze EMG signal there need good quality of decomposition so(More)
In this paper musical instrument recognition and transcription for piano, guitar, violin is discussed. The system is implementing in two stages; first stage is musical instrument recognised using spectral features after recognising instrument musical note is recognised using different frequency estimation methods. Feed forward Neural Network has been used(More)
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