Melody extraction from polyphonic music signals
Music was the first mass-market industry to be completely restructured by digital technology, and today we can have access to thousands of tracks stored locally on our smartphone and millions of tracks through cloud-based music services. Given the vast quantity of music at our fingertips, we now req...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/123777 |
| Acceso en línea: | http://hdl.handle.net/10803/123777 |
| Access Level: | acceso abierto |
| Palabra clave: | Melody extraction Predominant melody estimation Fundamental frequency Music information retrieval Audio content processing Pitch Contour Polyphonic Music similarity Version identification Query by humming Melody Bass line Harmony Genre classification Tonic identification Indian classical music Flamenco Automatic music transcription Melodic transcription Evaluation methodology Auditory scene analysis Melodic contour Music signal processing Extracción de melodía Estimación de la melodía predominante Frecuencia fundamental Recuperación de la información musical Procesado de contenido de audio Contorno tonal Polifonía Semejanza musical Identificación de versiones Búsqueda por tarareo Melodía Línea de bajo Clasificación del estilo musical Identificación de la tónica Música clásica india Transcripción automática Transcripción melódica Metodología de evaluación Análisis de la escena auditiva Contorno melódico Procesado de señales musicales Extracció de melodia Estimació de la melodia predominant Freqüència fonamental Recuperació de la informació musical Processament de contingut d'àudio Contorn tonal Polifonia Semblança musical Identificació de versions Recerca per tarareo Línia de baix Harmonia Classificació de l'estil musical identificació de la tònica Flamenc Transcripció automàtica Transcripció melòdica Metodologia d'avaluació Anàlisi de l'escena auditiva Contorn melòdic Processament de senyals musicals 78 |
| Sumario: | Music was the first mass-market industry to be completely restructured by digital technology, and today we can have access to thousands of tracks stored locally on our smartphone and millions of tracks through cloud-based music services. Given the vast quantity of music at our fingertips, we now require novel ways of describing, indexing, searching and interacting with musical content. In this thesis we focus on a technology that opens the door to a wide range of such applications: automatically estimating the pitch sequence of the melody directly from the audio signal of a polyphonic music recording, also referred to as melody extraction. Whilst identifying the pitch of the melody is something human listeners can do quite well, doing this automatically is highly challenging. We present a novel method for melody extraction based on the tracking and characterisation of the pitch contours that form the melodic line of a piece. We show how different contour characteristics can be exploited in combination with auditory streaming cues to identify the melody out of all the pitch content in a music recording using both heuristic and model-based approaches. The performance of our method is assessed in an international evaluation campaign where it is shown to obtain state-of-the-art results. In fact, it achieves the highest mean overall accuracy obtained by any algorithm that has participated in the campaign to date. We demonstrate the applicability of our method both for research and end-user applications by developing systems that exploit the extracted melody pitch sequence for similarity-based music retrieval (version identification and query-by-humming), genre classification, automatic transcription and computational music analysis. The thesis also provides a comprehensive comparative analysis and review of the current state-of-the-art in melody extraction and a first of its kind analysis of melody extraction evaluation methodology. |
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