10 research outputs found

    Natural language processing of lyrics

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    We report experiments on the use of standard natural language processing (NLP) tools for the analysis of music lyrics. A significant amount of music audio has lyrics. Lyrics encode an important part of the semantics of a song, therefore their analysis complements that of acoustic and cultural metadata and is fundamental for the development of complete music information retrieval systems. Moreover, a textual analysis of a song can generate ground truth data that can be used to validate results from purely acoustic methods. Preliminary results on language identification, structure extraction, categorization and similarity searches suggests that a lot of profit can be gained from the analysis of lyrics

    Grouping Students by Skill Level in Mini-Volleyball: Effect on Game Performance and Knowledge in Sport Education

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    ©2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Accepted, version of a Published Work that appeared in final form in Perceptual and Motor Skills. To access the final edited and published work see https://doi.org/10.1177/00315125211021812The purpose of this study was to explore any differences in game performance variables and knowledge among a cohort of high school students who participated in either homogeneous or heterogeneous skill level groups (N¼126) across a 12-lesson mini-volleyball sport education unit of study. This study followed a mixed-methods approach using a quasi-experimental pre-test/post-test design. The quantitative variables analyzed were decision making, skill execution, game performance, game involvement, and game knowledge. We also evaluated students’ performance qualitatively, employing two methods: (a) experts’ analysis of students’ game performance, and (b) students’ and teachers’ perceptions of students’ performance. We analyzed quantitative data through a series of paired samples t-tests comparing pre- and post-test scores according to the grouping strategy. Students became more competent in their game play and more knowledgeable in their technique, the sport’s rules, tactical awareness, and general game knowledge. However, grouping students by skill level had no impact on gains in game performance variable

    INDUSTRIAL AUDIO FINGERPRINTING DISTRIBUTED SYSTEM WITH CORBA AND WEB SERVICES

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    With digital technologies, music content providers face serious challenges to protect their rights. Due to the widespread nature of music sources, it is very difficult to centralize the audio management. Audio fingerprinting allows the identification of audio content regardless of the audio format and without the need of additional metadata. Monitoring the audio being broadcasted by the TV and radio stations of a country requires the design and implementation of a scalable, robust and modular framework. We have chosen CORBA as distributed environment. The whole functionality needs to be decoupled from clients. To do so, Web services have been deployed. The audio identification core uses a Hidden Markov Model-based audio fingerprinting technology. The paper discusses the design and implementation issues of a complete distributing system that automatically monitors audio content, specifically music and commercials.Today, a working prototype of such a system already exists, and is dedicated to monitoring several radio and tv stations in Spain. 1
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