Robust estimation of the spectral envelope for `harmonics+noise' models

Marine Oudot; OIivier Cappe; Eric Moulines

Robust estimation of the spectral envelope for `harmonics+noise' models

Marine Oudot
, OIivier Cappe
, Eric Moulines

Centre national de la recherche scientifique

Research output: Contribution to conference › Paper › peer-review

Abstract

When sinusoidal speech models are used for coding purpose, it is necessary to design a smooth spectral envelope that connects the estimated harmonics. In this paper, a new method is introduced for parametric modeling of the spectral envelope in the presence of measurement noise. The proposed method is based on a penalized likelihood criterion which can be extended to the case of `mixed' (sinusoidal and noise) models.

Original language	English
Pages	11-12
Number of pages	2
Publication status	Published - 1 Dec 1997
Event	Proceedings of the 1997 IEEE Workshop on Speech Coding for Telecommunications - Pocono Manor, PA, USA Duration: 7 Sept 1997 → 10 Sept 1997

Conference

Conference	Proceedings of the 1997 IEEE Workshop on Speech Coding for Telecommunications
City	Pocono Manor, PA, USA
Period	7/09/97 → 10/09/97

Cite this

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title = "Robust estimation of the spectral envelope for `harmonics+noise' models",

abstract = "When sinusoidal speech models are used for coding purpose, it is necessary to design a smooth spectral envelope that connects the estimated harmonics. In this paper, a new method is introduced for parametric modeling of the spectral envelope in the presence of measurement noise. The proposed method is based on a penalized likelihood criterion which can be extended to the case of `mixed' (sinusoidal and noise) models.",

author = "Marine Oudot and OIivier Cappe and Eric Moulines",

year = "1997",

month = dec,

day = "1",

language = "English",

pages = "11--12",

note = "Proceedings of the 1997 IEEE Workshop on Speech Coding for Telecommunications ; Conference date: 07-09-1997 Through 10-09-1997",

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TY - CONF

T1 - Robust estimation of the spectral envelope for `harmonics+noise' models

AU - Oudot, Marine

AU - Cappe, OIivier

AU - Moulines, Eric

PY - 1997/12/1

Y1 - 1997/12/1

N2 - When sinusoidal speech models are used for coding purpose, it is necessary to design a smooth spectral envelope that connects the estimated harmonics. In this paper, a new method is introduced for parametric modeling of the spectral envelope in the presence of measurement noise. The proposed method is based on a penalized likelihood criterion which can be extended to the case of `mixed' (sinusoidal and noise) models.

AB - When sinusoidal speech models are used for coding purpose, it is necessary to design a smooth spectral envelope that connects the estimated harmonics. In this paper, a new method is introduced for parametric modeling of the spectral envelope in the presence of measurement noise. The proposed method is based on a penalized likelihood criterion which can be extended to the case of `mixed' (sinusoidal and noise) models.

UR - https://www.scopus.com/pages/publications/0031338029

M3 - Paper

AN - SCOPUS:0031338029

SP - 11

EP - 12

T2 - Proceedings of the 1997 IEEE Workshop on Speech Coding for Telecommunications

Y2 - 7 September 1997 through 10 September 1997

ER -

Robust estimation of the spectral envelope for `harmonics+noise' models

Abstract

Conference

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