Abstract
This paper received the [Best Paper Award](http://waspaa.com/).
Feedback delay networks (FDNs) belong to a general class of recursive filters which are widely used in artificial reverberation and decorrelation applications. One central challenge in the design of FDNs is the generation of sufficient echo density in the impulse response without compromising the computational efficiency. In a previous contribution, we have demonstrated that the echo density of an FDN grows polynomially over time, and that the growth depends on the number and lengths of the delays. In this work, we introduce so-called delay feedback matrices (DFMs) where each matrix entry is a scalar gain and a delay. While the computational complexity of DFMs is similar to a scalar-only feedback matrix, we show that the echo density grows significantly faster over time, however, at the cost of non-uniform modal decays.
Feedback delay networks (FDNs) belong to a general class of recursive filters which are widely used in artificial reverberation and decorrelation applications. One central challenge in the design of FDNs is the generation of sufficient echo density in the impulse response without compromising the computational efficiency. In a previous contribution, we have demonstrated that the echo density of an FDN grows polynomially over time, and that the growth depends on the number and lengths of the delays. In this work, we introduce so-called delay feedback matrices (DFMs) where each matrix entry is a scalar gain and a delay. While the computational complexity of DFMs is similar to a scalar-only feedback matrix, we show that the echo density grows significantly faster over time, however, at the cost of non-uniform modal decays.
| Original language | English |
|---|---|
| Title of host publication | IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) |
| Publisher | IEEE |
| Pages | 1 - 5 |
| DOIs | |
| Publication status | Published - 2019 |
| MoE publication type | A4 Conference publication |
| Event | IEEE Workshop on Applications of Signal Processing to Audio and Acoustics - New York, United States Duration: 20 Oct 2019 → 23 Oct 2019 Conference number: 23 https://www.waspaa.com/ |
Workshop
| Workshop | IEEE Workshop on Applications of Signal Processing to Audio and Acoustics |
|---|---|
| Abbreviated title | WASPAA |
| Country/Territory | United States |
| City | New York |
| Period | 20/10/2019 → 23/10/2019 |
| Internet address |
Fingerprint
Dive into the research topics of 'Dense Reverberation with Delay Feedback Matrices'. Together they form a unique fingerprint.Prizes
-
Best Paper Award at WASPAA 2019
Schlecht, S. (Recipient), Oct 2019
Prize: Award or honor granted for a specific work
File