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Extraction of predominant melody from the musical performances containing various instruments is one of the most challenging task in the field of music information retrieval and computational musicology. This paper presents a novel framework which estimates predominant vocal melody in real-time by tracking various sources with the help of harmonic clusters(More)
For music transcription or musical source separation, apart from knowing the multi-F0 contours, it is also important to know which F0 has been played by which instrument. This paper focuses on this aspect, i.e. given the polyphonic audio along with its multiple F0 contours, the proposed system clusters them so as to decide 'which instrument played when.'(More)
This work aims at searching for discriminatively learned features that characterize an audio source and make it identifiable even in polyphonic audio. Probabilistic latent component analysis (PLCA) is an effective method for decomposing a polyphonic signal into individual sources using source specific dictionaries. This work proposes a novel discriminative(More)
Source transcription of pitched polyphonic music entails providing the pitch (F0) values corresponding to each source in a separate channel. This problem is an important step towards many important problems in music and speech processing. It involves 1) estimating the multiple F0 values in each short time frame, and 2) clustering the F0 values into streams(More)
Probabilistic latent component analysis (PLCA) is a popular tool for decomposing the spectra of polyphonic music for identifying the constituting musical instruments. Supervised PLCA reconstructs the observed polyphonic spectra using instrument specific spectral parts. However, the distance metrics between two instrument classes in the spectral space may(More)
Brain-computer interface (BCI) technology is a means of communication that allows individuals with severe movement disability to communicate with external assistive devices using the electroencephalogram (EEG) or other brain signals. This paper presents an alternative neural information processing architecture using the Schrödinger wave equation(More)
In this paper, we are presenting our work towards building a dependency parser for Sanskrit language that uses deterministic finite automata(DFA) for morphological analysis and ’utsarga apavaada’ approach for relation analysis. A computational grammar based on the framework of Panini is being developed. A linguistic generalization for Verbal and Nominal(More)
For identifying instruments or singers in the polyphonic audio, supervised probabilistic latent component analysis (PLCA) is a popular tool. But in many cases individual source audio is not available for training. To address this problem, this paper proposes a novel scheme using semisupervised PLCAwith probabilistic graph clustering, which does not require(More)
Melody is the pitch perceived from the most dominant source in the polyphonic music. This paper describes our algorithm for melody extraction submitted for the audio melody extraction task of the Music Information Retrieval Evaluation eXchange (MIREX) 2012. The task consists of two parts: melody estimation and voicing detection. The presented algorithm(More)