Advances in Perceptual Bass Extension for Music and Cinematic Content

Bharitkar SG, Souza Blanes E, Kubota GS, Rawat A. Advances in Perceptual Bass Extension for Music and Cinematic Content. In: AES Convention 154. Audio Engineering Society; 2023. Paper 10648. Available from: https://aes.org/publications/elibrary-page/?id=22055

@inproceedings{Bharitkar2023_22055,
  author = {Bharitkar, Sunil G. and Souza Blanes, Ema and Kubota, Glenn, S. and Rawat, Ashish},
  title = {{Advances in Perceptual Bass Extension for Music and Cinematic Content}},
  booktitle = {AES Convention 154},
  note = {Paper 10648},
  year = {2023},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22055}
}

TY  - CPAPER
TI  - Advances in Perceptual Bass Extension for Music and Cinematic Content
AU  - Bharitkar, Sunil G.
AU  - Souza Blanes, Ema
AU  - Kubota, Glenn, S.
AU  - Rawat, Ashish
T2  - AES Convention 154
M1  - Paper 10648
PY  - 2023
DA  - 2023/05/06
UR  - https://aes.org/publications/elibrary-page/?id=22055
PB  - Audio Engineering Society
LA  - en
AB  - Small form-factor and thin devices exhibit a high-pass frequency response due to loudspeaker-enclosure constraints. The low-frequency reproduction loss from these devices severely degrades the audio experience for music and cinematic content. This paper presents a new perceptual bass extension model using a side chain for music and cinematic content and leveraging the principle of the missing fundamental frequency. Optimizing the nonlinear function parameters enables the nonlinear function output to be invariant to input signal level changes. The model employs a unique input gain normalization scheme based on loudness metadata and level-matching between multiple side chains. A loudness compensation algorithm restores the perception of bass, particularly at low playback levels. Subjective testing and perceptually derived objective metrics using television (TV) loudspeakers validate the performance of the approach.
ER  -