Performance Evaluation of Algorithms for Arbitrary Sample Rate Conversion

Franck A. Performance Evaluation of Algorithms for Arbitrary Sample Rate Conversion. In: AES Convention 131. Audio Engineering Society; 2011. Paper 8552. Available from: https://aes.org/publications/elibrary-page/?id=16078

@inproceedings{Franck2011_16078,
  author = {Franck, Andreas},
  title = {{Performance Evaluation of Algorithms for Arbitrary Sample Rate Conversion}},
  booktitle = {AES Convention 131},
  note = {Paper 8552},
  year = {2011},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16078}
}

TY  - CPAPER
TI  - Performance Evaluation of Algorithms for Arbitrary Sample Rate Conversion
AU  - Franck, Andreas
T2  - AES Convention 131
M1  - Paper 8552
PY  - 2011
DA  - 2011/10/06
UR  - https://aes.org/publications/elibrary-page/?id=16078
PB  - Audio Engineering Society
LA  - en
AB  - Arbitrary sample rate conversion (ASRC) enables changes of the sampling frequency by flexible, time-varying ratios. It can be utilized advantageously in many applications of audio signal processing. Consequently, numerous algorithms for ASRC have been proposed. However, it is often difficult to choose a minimal-cost algorithm that meets the requirements of a specific application. In this paper, several approaches to ASRC are reviewed. Special emphasis is placed on algorithms that enable optimal designs, which minimize the resampling error with respect to a selectable norm. Evaluations are performed to assess the computational efficiency of different algorithms as a function of the achievable quality. These analyses demonstrate that structures based on oversampling and resampling filters specifically adapted to this structure yield significant performance improvements over established algorithms.
ER  -