Articoli correlati a Vocal Melody Extraction from Polyphonic Audio files...
Sinossi
Research Paper (postgraduate) from the year 2014 in the subject Art - Computer Art / Graphics / Art in Media, , language: English, abstract: It is a complicated and highly difficult task to determine the predominant melody from the musical performances which contain a large number of various instruments. It is one of the most challenging tasks in the field of music information retrieval and computational musicology. Over the past decade, melody extraction has emerged as an active research topic. In this paper, we are newly presenting a novel framework method which calculates and estimates predominant vocal melody in real-time by analyzing and tracking various source frequencies with the help of harmonic clusters (combs) and determining the actual predominant vocal source by using the harmonic strength of the source. Here we rely on the strong higher harmonics to estimate robustness against distortion and on the first harmonics caused due to low frequency accompaniments in a signal, in contrast to the currently existing methods which track only the pitch values. The proposed method, although on-line, is shown to significantly outperform our implementation of a state-of-the-art offline method for vocal melody extraction.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dalla quarta di copertina
Research Paper (postgraduate) from the year 2014 in the subject Art - Computer Art / Graphics / Art in Media, , language: English, abstract: It is a complicated and highly difficult task to determine the predominant melody from the musical performances which contain a large number of various instruments. It is one of the most challenging tasks in the field of music information retrieval and computational musicology. Over the past decade, melody extraction has emerged as an active research topic. In this paper, we are newly presenting a novel framework method which calculates and estimates predominant vocal melody in real-time by analyzing and tracking various source frequencies with the help of harmonic clusters (combs) and determining the actual predominant vocal source by using the harmonic strength of the source. Here we rely on the strong higher harmonics to estimate robustness against distortion and on the first harmonics caused due to low frequency accompaniments in a signal, in contrast to the currently existing methods which track only the pitch values. The proposed method, although on-line, is shown to significantly outperform our implementation of a state-of-the-art offline method for vocal melody extraction.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Vocal Melody Extraction from Polyphonic Audio files...
Immagini fornite dal venditore
Vocal Melody Extraction from Polyphonic Audio files using enhanced Cluster tracking
Print on DemandDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Research Paper (postgraduate) from the year 2014 in the subject Art - Computer Art / Graphics / Art in Media, , language: English, abstract: It is a complicated and highly difficult task to determine the predominant melody from the musical performances which contain a large number of various instruments. It is one of the most challenging tasks in the field of music information retrieval and computational musicology. Over the past decade, melody extraction has emerged as an active research topic. In this paper, we are newly presenting a novel framework method which calculates and estimates predominant vocal melody in real-time by analyzing and tracking various source frequencies with the help of harmonic clusters (combs) and determining the actual predominant vocal source by using the harmonic strength of the source. Here we rely on the strong higher harmonics to estimate robustness against distortion and on the first harmonics caused due to low frequency accompaniments in a signal, in contrast to the currently existing methods which track only the pitch values. The proposed method, although on-line, is shown to significantly outperform our implementation of a state-of-the-art offline method for vocal melody extraction. 16 pp. Englisch. Codice articolo 9783668242531
Compra nuovo
EUR 15,95
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Vocal Melody Extraction from Polyphonic Audio files using enhanced Cluster tracking
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Research Paper (postgraduate) from the year 2014 in the subject Art - Computer Art / Graphics / Art in Media, , language: English, abstract: It is a complicated and highly difficult task to determine the predominant melody from the musical performances which contain a large number of various instruments. It is one of the most challenging tasks in the field of music information retrieval and computational musicology. Over the past decade, melody extraction has emerged as an active research topic. In this paper, we are newly presenting a novel framework method which calculates and estimates predominant vocal melody in real-time by analyzing and tracking various source frequencies with the help of harmonic clusters (combs) and determining the actual predominant vocal source by using the harmonic strength of the source. Here we rely on the strong higher harmonics to estimate robustness against distortion and on the first harmonics caused due to low frequency accompaniments in a signal, in contrast to the currently existing methods which track only the pitch values. The proposed method, although on-line, is shown to significantly outperform our implementation of a state-of-the-art offline method for vocal melody extraction. Codice articolo 9783668242531
Compra nuovo
EUR 15,95
Spedizione EUR 35,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Vocal Melody Extraction from Polyphonic Audio files using enhanced Cluster tracking
Print on DemandDa: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Vocal Melody Extraction from Polyphonic Audio files using enhanced Cluster tracking | Vaaibhav Vaidya | Taschenbuch | 16 S. | Englisch | 2016 | GRIN Verlag | EAN 9783668242531 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu Print on Demand. Codice articolo 103634374
Compra nuovo
EUR 15,95
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili