Title :
Vocal pitch detection for musical transcription
Author :
Bharathi, V. ; Asaph, Abraham A. ; Ramya, R.
Abstract :
In this paper, an improved method for the detection of vocal pitch for musical transcription is considered and detected pitch is used as a technique for the extraction of musical data from the given audio input. Harmonics present in the voice signal are eliminated by filtering techniques and the resulting signal is divided into a number of segments based on the input sequence given by a metronome input. Pitch of each segment is calculated and compared with a stored frequency table to assign the necessary musical note. The assigned musical note is used for automatic annotation of singing voice in monophonic audio.
Keywords :
audio signal processing; filtering theory; harmonics; music; speech processing; automatic singing voice annotation; filtering technique; harmonics; metronome input; monophonic audio; musical data extraction; musical transcription; vocal pitch detection; Detection algorithms; Mathematical model; Predictive models; Signal processing algorithms; Speech; Speech processing; Linear predictive coding; Pitch Detection; Vocal signals; musical transcription;
Conference_Titel :
Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on
Conference_Location :
Thuckafay
Print_ISBN :
978-1-61284-654-5
DOI :
10.1109/ICSCCN.2011.6024645