Abstract
The ITU-Recommendation BS.1770 is now established throughout most of the broadcast industry. Program loudness measurement is undertaken through the summation of K-weighted energy and this summation typically involves material that is broadband in nature. We undertook listening tests to investigate the performance of the K-weighting filter in relation to perceived loudness of narrower band stimuli, namely octave-band pink noise and individual stems of a multitrack session. We propose two alternative filters based on the discrepancies found and evaluate their performance using different measurement window sizes. The new filters yield better performance accuracy for both pink noise stimuli and certain types of multitrack stem. Finally, we propose an informed set of parameters that may improve loudness prediction in auto mixing systems
Original language | English |
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Title of host publication | 143rd Audio Engineering Society Convention 2017, AES 2017 |
Publisher | Audio Engineering Society |
Pages | 71-80 |
Number of pages | 10 |
Volume | 1 |
ISBN (Electronic) | 9781510870703 |
Publication status | Published - 8 Oct 2017 |
Event | 143rd Audio Engineering Society Convention: Maximum Audio - Jacob K. Javits Convention Center, New York, United States Duration: 18 Oct 2017 → 21 Oct 2017 Conference number: 143 http://www.aes.org/events/143/ (Link to Conference Website) |
Conference
Conference | 143rd Audio Engineering Society Convention |
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Abbreviated title | AES 2017 |
Country/Territory | United States |
City | New York |
Period | 18/10/17 → 21/10/17 |
Internet address |
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Steven Fenton
- Department of Engineering - Subject Area Leader - Engineering
- School of Computing and Engineering
- Centre for Audio and Psychoacoustic Engineering - Member
Person: Academic