Perceptual Study of a Low-Computational Linear-Phase Digital Crossover Network

Bruschi V, Dourou N, Nobili S, Cecchi S. Perceptual Study of a Low-Computational Linear-Phase Digital Crossover Network. In: AES Convention 154. Audio Engineering Society; 2023. Paper 92. Available from: https://aes.org/publications/elibrary-page/?id=22117

@inproceedings{Bruschi2023_22117,
  author = {Bruschi, Valeria and Dourou, Nefeli and Nobili, Stefano and Cecchi, Stefania},
  title = {{Perceptual Study of a Low-Computational Linear-Phase Digital Crossover Network}},
  booktitle = {AES Convention 154},
  note = {Paper 92},
  year = {2023},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22117}
}

TY  - CPAPER
TI  - Perceptual Study of a Low-Computational Linear-Phase Digital Crossover Network
AU  - Bruschi, Valeria
AU  - Dourou, Nefeli
AU  - Nobili, Stefano
AU  - Cecchi, Stefania
T2  - AES Convention 154
M1  - Paper 92
PY  - 2023
DA  - 2023/05/06
UR  - https://aes.org/publications/elibrary-page/?id=22117
PB  - Audio Engineering Society
LA  - en
AB  - In the digital audio processing field, crossover networks play an essential rule, and they are employed in several applications. Although the literature does not offer many perceptual analysis, the perceptual evaluation of a crossover network is important to investigate audible errors that may arise during the reproduction. In this context, this paper presents a perceptual study of a linear-phase digital crossover network previously developed by the same authors. The proposed crossover exploits interpolated finite impulse response (IFIR) filters, which guarantee a linear phase response. Subjective experiments have been carried out to perceptually evaluate the proposed crossover in comparison with the well-known Linkwitz-Riley infinite impulse response (IIR) crossover network.
ER  -