HELM: High Efficiency Loudness Model for Broadcast Content

Travaglini A, Alemanno A, Uncini A. HELM: High Efficiency Loudness Model for Broadcast Content. In: AES Convention 132. Audio Engineering Society; 2012. Paper 8612. Available from: https://aes.org/publications/elibrary-page/?id=16250

@inproceedings{Travaglini2012_16250,
  author = {Travaglini, Alessandro and Alemanno, Andrea and Uncini, Aurelio},
  title = {{HELM: High Efficiency Loudness Model for Broadcast Content}},
  booktitle = {AES Convention 132},
  note = {Paper 8612},
  year = {2012},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16250}
}

TY  - CPAPER
TI  - HELM: High Efficiency Loudness Model for Broadcast Content
AU  - Travaglini, Alessandro
AU  - Alemanno, Andrea
AU  - Uncini, Aurelio
T2  - AES Convention 132
M1  - Paper 8612
PY  - 2012
DA  - 2012/04/06
UR  - https://aes.org/publications/elibrary-page/?id=16250
PB  - Audio Engineering Society
LA  - en
AB  - In this paper, we propose a new algorithm for measuring the loudness levels of broadcast content. It is called the High Efficiency Loudness Model (HELM) and it aims to provide robust measurement of programs of any genre, style and format, including stereo and multichannel audio 5.1 surround sound. HELM was designed taking into account the typical conditions of the home listening environment and it is therefore particularly good at meeting the needs of broadcast content users. While providing a very efficient assessment of typical generic programs, it also successfully approaches some issues that arise when assessing unusual content such as programs heavily based on bass frequencies, wide loudness range programs and multi-channel programs as opposed to stereo ones. This paper details the structure of HELM, including its channel-specific frequency weighting and recursive gating implementation. Finally, we present the results of a mean opinion score (MOS) subjective test that demonstrates the effectiveness of the proposed method.
ER  -