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  1. 研究報告
  2. 音声言語情報処理(SLP)
  3. 2015
  4. 2015-SLP-107

Efficient Pitch Estimation on Natural Opera-Singing by a Spectral Correlation based Strategy

https://ipsj.ixsq.nii.ac.jp/records/142675
https://ipsj.ixsq.nii.ac.jp/records/142675
092f4f47-7e5a-4a5d-b8ff-9383ede933f2
名前 / ファイル ライセンス アクション
IPSJ-SLP15107001.pdf IPSJ-SLP15107001.pdf (857.5 kB)
Copyright (c) 2015 by the Information Processing Society of Japan
オープンアクセス
Item type SIG Technical Reports(1)
公開日 2015-07-09
タイトル
タイトル Efficient Pitch Estimation on Natural Opera-Singing by a Spectral Correlation based Strategy
タイトル
言語 en
タイトル Efficient Pitch Estimation on Natural Opera-Singing by a Spectral Correlation based Strategy
言語
言語 eng
キーワード
主題Scheme Other
主題 音声認識・検索・分析
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
Sound and Media Group, National Institute of Informatics
著者所属
Music Technology Group, Universitat Pompeu Fabra
著者所属
Sound and Media Group, National Institute of Informatics
著者所属
Telecommunications Research Center Vienna (FTW)
著者所属(英)
en
Sound and Media Group, National Institute of Informatics
著者所属(英)
en
Music Technology Group, Universitat Pompeu Fabra
著者所属(英)
en
Sound and Media Group, National Institute of Informatics
著者所属(英)
en
Telecommunications Research Center Vienna (FTW)
著者名 Fernando, Villavicencio

× Fernando, Villavicencio

Fernando, Villavicencio

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Jordi, Bonada

× Jordi, Bonada

Jordi, Bonada

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Junichi, Yamagish

× Junichi, Yamagish

Junichi, Yamagish

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Michel, Pucher

× Michel, Pucher

Michel, Pucher

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著者名(英) Fernando, Villavicencio

× Fernando, Villavicencio

en Fernando, Villavicencio

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Jordi, Bonada

× Jordi, Bonada

en Jordi, Bonada

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Junichi, Yamagish

× Junichi, Yamagish

en Junichi, Yamagish

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Michel, Pucher

× Michel, Pucher

en Michel, Pucher

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論文抄録
内容記述タイプ Other
内容記述 We present in this work a study for robust pitch estimation on signals presenting wide-range pitch content, as is the case of opera singing. Aiming to perform automatic features extraction for the further development of parametric opera singing synthesis technology we evaluate four state-of-the-art pitch estimators, reporting in particular technical details of one introduced in previous work, based in a technique called Spectral Amplitude Autocorrelation (SAC). The results issued from subjective and objetive evaluations show clear performance trends, denoting robust estimation performance for SAC without observing significant sensitivity to the pitch height.
論文抄録(英)
内容記述タイプ Other
内容記述 We present in this work a study for robust pitch estimation on signals presenting wide-range pitch content, as is the case of opera singing. Aiming to perform automatic features extraction for the further development of parametric opera singing synthesis technology we evaluate four state-of-the-art pitch estimators, reporting in particular technical details of one introduced in previous work, based in a technique called Spectral Amplitude Autocorrelation (SAC). The results issued from subjective and objetive evaluations show clear performance trends, denoting robust estimation performance for SAC without observing significant sensitivity to the pitch height.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN10442647
書誌情報 研究報告音声言語情報処理(SLP)

巻 2015-SLP-107, 号 1, p. 1-6, 発行日 2015-07-09
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8663
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
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