scholarly journals Joint Recognition of Raag and Tonic in North Indian Music

2013 ◽  
Vol 37 (3) ◽  
pp. 82-98 ◽  
Author(s):  
Parag Chordia ◽  
Sertan Şentürk

In many non-Western musical traditions, such as North Indian classical music (NICM), melodies do not conform to the major and minor modes, and they commonly use tunings that have no fixed reference (e.g., A = 440 Hz). We present a novel method for joint tonic and raag recognition in NICM from audio, based on pitch distributions. We systematically compare the accuracy of several methods using these tonal features when combined with instance-based (nearest-neighbor) and Bayesian classifiers. We find that, when compared with a standard twelve-dimensional pitch class distribution that estimates the relative frequency of each of the chromatic pitches, smoother and more continuous tonal representations offer significant performance advantages, particularly when combined with appropriate classification techniques. Best results are obtained using a kernel-density pitch distribution along with a nearest-neighbor classifier using Bhattacharyya distance, attaining a tonic error rate of 4.2 percent and raag error rate of 10.3 percent (with 21 different raag categories). These experiments suggest that tonal features based on pitch distributions are robust, reliable features that can be applied to complex melodic music.

Popular Music ◽  
2003 ◽  
Vol 22 (2) ◽  
pp. 117-142
Author(s):  
Gernot Blume

In the first forty years of his career, American pianist Keith Jarrett has established a reputation in multiple stylistic directions. Jarrett has typically incorporated influences as varied as bebop, country, rock, gospel, minimalism, baroque and classical styles into his often lengthy improvisations. Vital to his musical persona, but less obvious, is the influence North Indian classical music has had in shaping Jarrett's improvisatory strategies. Although he never formally studied Indian music, and although his instrument – the piano – is far removed from the conceptual backdrop of North Indian raga performance, Indian music was a central component in the artistic climate out of which his improvised solo recitals grew.A cultural climate of global influences was the backdrop to the development of Jarrett's solo concerts. Therein, perhaps, lies one key to understanding the spell that this music has cast on large and international audiences. With this format, Jarrett tapped into the ambiance of a particular historic moment, which combined a desire for change with the discovery of spiritual and musical traditions outside the Western world.In this paper I will demonstrate how explicit and implicit references to classical Indian principles of music making helped shape Jarrett's unique free solo concerts.


Author(s):  
S. Vijaya Rani ◽  
G. N. K. Suresh Babu

The illegal hackers  penetrate the servers and networks of corporate and financial institutions to gain money and extract vital information. The hacking varies from one computing system to many system. They gain access by sending malicious packets in the network through virus, worms, Trojan horses etc. The hackers scan a network through various tools and collect information of network and host. Hence it is very much essential to detect the attacks as they enter into a network. The methods  available for intrusion detection are Naive Bayes, Decision tree, Support Vector Machine, K-Nearest Neighbor, Artificial Neural Networks. A neural network consists of processing units in complex manner and able to store information and make it functional for use. It acts like human brain and takes knowledge from the environment through training and learning process. Many algorithms are available for learning process This work carry out research on analysis of malicious packets and predicting the error rate in detection of injured packets through artificial neural network algorithms.


Author(s):  
Jet Gabrielle Sanders ◽  
Yoshiyuki Ueda ◽  
Sakiko Yoshikawa ◽  
Rob Jenkins

Abstract Background Recent experimental work has shown that hyper-realistic face masks can pass for real faces during live viewing. However, live viewing embeds the perceptual task (mask detection) in a powerful social context that may influence respondents’ behaviour. To remove this social context, we assessed viewers’ ability to distinguish photos of hyper-realistic masks from photos of real faces in a computerised two-alternative forced choice (2AFC) procedure. Results In experiment 1 (N = 120), we observed an error rate of 33% when viewing time was restricted to 500 ms. In experiment 2 (N = 120), we observed an error rate of 20% when viewing time was unlimited. In both experiments we saw a significant performance cost for other-race comparisons relative to own-race comparisons. Conclusions We conclude that viewers could not reliably distinguish hyper-realistic face masks from real faces in photographic presentations. As well as its theoretical interest, failure to detect synthetic faces has important implications for security and crime prevention, which often rely on facial appearance and personal identity being related.


1961 ◽  
Vol 24 (2) ◽  
pp. 307-325 ◽  
Author(s):  
N. A. Jairazbhoy

In the Saṅgītaratnākara, a thirteenth-century musical text by Śārṅgadeva, listed under svaraprastāra (lit. extension of notes) is a complete enumeration of all the possible combinations of the 7 notes of the Indian musical scale. This enumeration begins with the single note (ārcika) and is followed by all the possible combinations of two notes (gāthika), three notes (sāmika), four notes (svarāntara), five notes (auḍuva), six notes (ṣāḍava), and seven notes (pūrṇa). Each of these series of kūṭatānas (series of notes in which the continuity of the sequence is broken) develop in the same logical order based on the precedence of the ascending line over the descending line. In Śārṅgadeva's arrangement the first of the 7 note series is the straight ascending line, sa ri ga ma pa dha ni, which, for easy comprehension will be rendered as l 2 3 4 5 6 7 in this paper; and the last of the 7 note series is the straight descending line, ni dha pa ma ga ri sa, rendered 7 6 5 4 3 2 1 here. The changes in the order of the notes take place from the beginning of the series, at first involving only the first two notes, then the first three notes, then the first four notes, and so on. In fact, the progression for the 7 note series includes the progressions for all the smaller series within it. Thus the 7th note of the 7 note series remains constant until the progressions of one, two, three, four, five, and six notes have been exhausted. Only then is the 7th note replaced by the 6th. The chart on p. 308 is an abbreviation showing the nature of the progression. The 2 and 3 note series involving the first 2 and 3 notes respectively are complete. Beginning from the 4 note series, the chart is abbreviated as follows. The 4 note series is divided into four groups determined by the terminal note, each involves change in the first 3 notes, and each of these groups corresponds to the previous 3 note series, which is in fact the first group of the 4 note series. Of the remaining groups only the first and last sequences are given with an indication as to the number of sequences comprising that group. Similar abbreviations are used in the longer series that follow. Commas have been placed to indicate that the preceding numbers now replace the original ascending sequence (mūlakrama) and that the progressions which follow in that group involve change in only these preceding numbers. For example, if one wishes to determine the complete series from 1 2 4,3 5 6 7 to the end of its particular group 4 2 1 3 5 6 7 the comma after 4 indicates that only the first three numbers change.


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