A fundamental problem in auditory and speech processing is the segregation of speech from concurrent sounds. This problem has been a focus of study in computational auditory scene analysis (CASA), and it has also been recently investigated from the perspective of blind source separation. Using a standard corpus of voiced speech mixed with interfering sounds, we report a comparison between CASA ...

Paulo), Santa Casa de Miseric ordia de Santos (Santos), Santa Casa de Miseric ordia de S~ao Paulo (S~ao Paulo), Universidade Estadual de Campinas (Campinas), Universidade Estadual de Londrina (Londrina), Universidade Federal de Goi as (Goiânia), Universidade Federal de Minas Gerais (Belo Horizonte), Universidade Federal de S~ao Paulo (S~ao Paulo), Universidade Federal do Ceara (Fortaleza), Univ...

Resumen. La estrategia de una casa de empeño puede monitorearse de manera efectiva utilizando un cuadro de mando conectado en tiempo real a tableros de control. El cuadro de mando se implementa utilizando QlikView y visualiza los indicadores clave de desempeño definidos para la casa de empeño para el tema estratégico de servicio. La implementación realizada siguió la metodología de Ciclo de Vid...

Casa Siloé (Siloam House) is a Catholic support house that shelters children with human immunodeficiency virus or acquired immunodeficiency syndrome. The article presents a history of the institution and discusses its work. A qualitative approach was used, relying on oral history techniques and documental analysis. Eight key informants were interviewed: the president of the institution, two coo...

SUMMARY A public server for evaluating the accuracy of protein sequence alignment methods is presented. CASA is an implementation of the alignment accuracy benchmark presented by Sauder et al. (Proteins, 40, 6-22, 2000). The benchmark currently contains 39321 pairwise protein structure alignments produced with the CE program from SCOP domain definitions. The server produces graphical and tabula...

Computational Auditory Scene Analysis (CASA) aims to model our ability to structure our acoustical environment. In a CASA context, this paper deals with a method for time-frequency labeling based on harmonic properties. The method is based on a classical pitch extraction algorithm, termed the « zerocrossing method », which is known to be particularly sensitive to any kind of interference. This ...