Coding of fine granular audio signals using High Resolution Envelope Processing (HREP)

Ghido F, Disch S, Reutelhuber F, Adami A (2017)

Publication Type: Conference contribution

Publication year: 2017

Journal

2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 701-705

Conference Proceedings Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Event location: New Orleans, LA, USA

ISBN: 9781509041176

DOI: 10.1109/ICASSP.2017.7952246

Abstract

High Resolution Envelope Processing (HREP) is a new tool for improved perceptual coding of audio signals that predominantly consist of many dense transient events, such as applause, rain drop sounds, etc. These signals have traditionally been very difficult to code for perceptual audio codecs, particularly at low bit rates. Based on the gain control principle, HREP acts as a pre-/post-processor pair to perceptual audio codecs and preserves the temporal fine structure and subjective quality of applause-like signals. Subjective tests have shown a significant improvement in audio quality of around 12 MUSHRA points by HREP processing at 48 kbps stereo when used together with an MPEG-H 3D Audio codec. The new coding tool has been adopted as part of MPEG-H 3D Audio Second Edition.

Authors with CRIS profile

Jürgen Herre
Alexander Adami International Audio Laboratories Erlangen (AudioLabs)

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE)

How to cite

APA:

Ghido, F., Disch, S., Reutelhuber, F., & Adami, A. (2017). Coding of fine granular audio signals using High Resolution Envelope Processing (HREP). In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 701-705). New Orleans, LA, USA: Institute of Electrical and Electronics Engineers Inc..

MLA:

Ghido, Florin, et al. "Coding of fine granular audio signals using High Resolution Envelope Processing (HREP)." Proceedings of the 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, New Orleans, LA, USA Institute of Electrical and Electronics Engineers Inc., 2017. 701-705.

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