Automatic Tonic Identification in Indian Art Music: Approaches and Evaluation

The tonic is a fundamental concept in Indian art music. It is the base pitch, which an artist chooses in order to construct the melodies during a rg(a) rendition, and all accompanying instruments are tuned using the tonic pitch. Consequently, tonic identification is a fundamental task for most computational analyses of Indian art music, such as intonation analysis, melodic motif analysis and rg recognition. In this paper we review existing approaches for tonic identification in Indian art music and evaluate them on six diverse datasets for a thorough comparison and analysis. We study the performance of each method in different contexts such as the presence/absence of additional metadata, the quality of audio data, the duration of audio data, music tradition (Hindustani/Carnatic) and the gender of the singer (male/female). We show that the approaches that combine multi-pitch analysis with machine learning provide the best performance in most cases (90% identification accuracy on average), and are robust across the aforementioned contexts compared to the approaches based on expert knowledge. In addition, we also show that the performance of the latter can be improved when additional metadata is available to further constrain the problem. Finally, we present a detailed error analysis of each method, providing further insights into the advantages and limitations of the methods.

MULTI-INSTRUMENT DETECTION IN POLYPHONIC MUSIC USING GAUSSIAN MIXTURE BASED FACTORIAL HMM

We formulate the problem of detecting the constituent instruments in a polyphonic music piece as a joint decoding problem. From monophonic data, parametric Gaussian Mixture Hidden Markov Models (GM-HMM) are obtained for each instrument. We propose a method to use the above models in a factorial framework, termed as Factorial GM-HMM (F-GM-HMM). The states are jointly inferred to explain the evolution of each instrument in the mixture observation sequence. The dependencies are decoupled using variational inference technique. We show that the joint time evolution of all instruments' states can be captured using F-GM-HMM. We compare performance of proposed method with that of Student's-t mixture model (tMM) and GM-HMM in an existing latent variable framework. Experiments on two to five polyphony with 8 instrument models trained on the RWC dataset, tested on RWC and TRIOS datasets show that F-GM-HMM gives an advantage over the other considered models in segments containing co-occurring instruments.

Some Key Technics of Drop Tower Experiment Device of National Microgravity Laboratory (China) (NMLC)

Drop tower is an important ground based facility for microgravity science experiment. The technical performances of the drop tower NMLC are advanced compared with similar facilities in the US, Germany and Japan. The main components such as drop capsule, deceleration devices, release mechanism present its advantages and creativities.

Don Ramón Vega, enigmático rebelde de la ópera mexicana

Resumen: Un fortuito hallazgo del libreto manuscrito de la ópera El grito de Dolores, de Ramón Vega, compositor mexicano del siglo XIX, protagonizado por esta autora, desencadenó una serie de preguntas que hasta el presente no han sido respondidas a cabalidad por los estudios dedicados a la historia de la música en México. La investigación desarrollada con el propósito de situar el manuscrito encontrado en el contexto social y cultural del siglo de la Independencia y la exhaustiva pesquisa realizada en diferentes archivos históricos fructificaron en el descubrimiento de un vasto corpus de fuentes documentales actualmente desconocidas. La información que arrojó el análisis de estos documentos completó el conocimiento existente sobre la vida de Ramón Vega, permitió enderezar algunas ideas falibles en torno a su producción operística, así como construir y sustentar la hipótesis de que El grito de Dolores puede calificarse como el primer intento de creación de una ópera mexicana “enteramente nacional”.

Brazil’s patent reform : innovation towards national competitiveness

Adaptação para a língua inglesa da obra “A revisão da lei de patentes: inovação em prol da competitividade nacional