Perceptually Based Phoneme Recognition in Popular Music
| Autor: | Matthias Gruhne, Frank Klefenz, Christian Dittmar, Gero Szepannek, Claus Weihs, Tamas Harczos, Sebastian Krey, Bernd Bischl |
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| Rok vydání: | 2010 |
| Předmět: |
business.industry
Speech recognition SIGNAL (programming language) Lyrics computer.software_genre Task (project management) ComputingMethodologies_PATTERNRECOGNITION Popular music Feature (machine learning) Automatic gain control Artificial intelligence Transcription (software) Psychology business Classifier (UML) computer Natural language processing |
| Zdroj: | Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783642107443 |
| Popis: | Solving the task of phoneme recognition in music sound files may help for several practical applications: it enables lyrics transcription and as a consequence could provide further relevant information for the task of an automatic song classification. Beyond it can be used for lyrics alignment e.g. in karaoke applications. The effect of both different feature signal representations as well as the choice of the appropriate classifier are investigated. Besides, a unified R framework for classifier optimization is be presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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