Restoration of clipped audio signal using recursive vector projection

Shin Miura; Hirofumi Nakajima; Shigeki Miyabe; Shoji Makino; Takeshi Yamada; Kazuhiro Nakadai

doi:10.1109/TENCON.2011.6129132

Restoration of clipped audio signal using recursive vector projection

Shin Miura^*, Hirofumi Nakajima, Shigeki Miyabe, Shoji Makino, Takeshi Yamada, Kazuhiro Nakadai

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Citations (Scopus)

Abstract

This paper proposes signal restoration from clipping effect without prior knowledge. First, an interval of signal including clipped samples is analyzed by recursive vector projection. By analyzing the neighboring samples of the clipped interval and excluding the clipped interval in the analysis of similarity, signal estimation in the clipped interval is estimated as a by-product of the analysis. Since the estimation holds consistency with the neighboring samples, the restored signal does not suffer from click noise. Evaluation of the clipping restoration with various audio signal ascertained that the proposed method improves signal-to-noise ratio.

Original language	English
Title of host publication	TENCON 2011 - 2011 IEEE Region 10 Conference
Subtitle of host publication	Trends and Development in Converging Technology Towards 2020
Pages	394-397
Number of pages	4
DOIs	https://doi.org/10.1109/TENCON.2011.6129132
Publication status	Published - 2011
Externally published	Yes
Event	2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia Duration: 2011 Nov 21 → 2011 Nov 24

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON

Conference

Conference	2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
Country/Territory	Indonesia
City	Bali
Period	11/11/21 → 11/11/24

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TENCON.2011.6129132

Cite this

Miura, S., Nakajima, H., Miyabe, S., Makino, S., Yamada, T., & Nakadai, K. (2011). Restoration of clipped audio signal using recursive vector projection. In TENCON 2011 - 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020 (pp. 394-397). Article 6129132 (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2011.6129132

Restoration of clipped audio signal using recursive vector projection. / Miura, Shin; Nakajima, Hirofumi; Miyabe, Shigeki et al.
TENCON 2011 - 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020. 2011. p. 394-397 6129132 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Miura, S, Nakajima, H, Miyabe, S, Makino, S, Yamada, T & Nakadai, K 2011, Restoration of clipped audio signal using recursive vector projection. in TENCON 2011 - 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020., 6129132, IEEE Region 10 Annual International Conference, Proceedings/TENCON, pp. 394-397, 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011, Bali, Indonesia, 11/11/21. https://doi.org/10.1109/TENCON.2011.6129132

Miura S, Nakajima H, Miyabe S, Makino S, Yamada T, Nakadai K. Restoration of clipped audio signal using recursive vector projection. In TENCON 2011 - 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020. 2011. p. 394-397. 6129132. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON.2011.6129132

@inproceedings{c21081fa1d574a9199c2401cfec557df,

title = "Restoration of clipped audio signal using recursive vector projection",

abstract = "This paper proposes signal restoration from clipping effect without prior knowledge. First, an interval of signal including clipped samples is analyzed by recursive vector projection. By analyzing the neighboring samples of the clipped interval and excluding the clipped interval in the analysis of similarity, signal estimation in the clipped interval is estimated as a by-product of the analysis. Since the estimation holds consistency with the neighboring samples, the restored signal does not suffer from click noise. Evaluation of the clipping restoration with various audio signal ascertained that the proposed method improves signal-to-noise ratio.",

author = "Shin Miura and Hirofumi Nakajima and Shigeki Miyabe and Shoji Makino and Takeshi Yamada and Kazuhiro Nakadai",

year = "2011",

doi = "10.1109/TENCON.2011.6129132",

language = "English",

isbn = "9781457702556",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

pages = "394--397",

booktitle = "TENCON 2011 - 2011 IEEE Region 10 Conference",

note = "2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 ; Conference date: 21-11-2011 Through 24-11-2011",

}

TY - GEN

T1 - Restoration of clipped audio signal using recursive vector projection

AU - Miura, Shin

AU - Nakajima, Hirofumi

AU - Miyabe, Shigeki

AU - Makino, Shoji

AU - Yamada, Takeshi

AU - Nakadai, Kazuhiro

PY - 2011

Y1 - 2011

N2 - This paper proposes signal restoration from clipping effect without prior knowledge. First, an interval of signal including clipped samples is analyzed by recursive vector projection. By analyzing the neighboring samples of the clipped interval and excluding the clipped interval in the analysis of similarity, signal estimation in the clipped interval is estimated as a by-product of the analysis. Since the estimation holds consistency with the neighboring samples, the restored signal does not suffer from click noise. Evaluation of the clipping restoration with various audio signal ascertained that the proposed method improves signal-to-noise ratio.

AB - This paper proposes signal restoration from clipping effect without prior knowledge. First, an interval of signal including clipped samples is analyzed by recursive vector projection. By analyzing the neighboring samples of the clipped interval and excluding the clipped interval in the analysis of similarity, signal estimation in the clipped interval is estimated as a by-product of the analysis. Since the estimation holds consistency with the neighboring samples, the restored signal does not suffer from click noise. Evaluation of the clipping restoration with various audio signal ascertained that the proposed method improves signal-to-noise ratio.

UR - http://www.scopus.com/inward/record.url?scp=84856899194&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84856899194&partnerID=8YFLogxK

U2 - 10.1109/TENCON.2011.6129132

DO - 10.1109/TENCON.2011.6129132

M3 - Conference contribution

AN - SCOPUS:84856899194

SN - 9781457702556

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

SP - 394

EP - 397

BT - TENCON 2011 - 2011 IEEE Region 10 Conference

T2 - 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011

Y2 - 21 November 2011 through 24 November 2011

ER -

Restoration of clipped audio signal using recursive vector projection

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this