A Multi-Room Transition Dataset for Blind Estimation of Energy Decay
We present an acoustic room impulse response dataset focusing on multi-room environments characterized by complex geometries and acoustic conditions. The dataset is accompanied by positional information and visual documentation in the form of 360° photographs. Additionally, we present a method to estimate acoustic energy decay functions from noisy, reverberant speech signals. We demonstrate the effectiveness of the proposed method based on experiments conducted with the presented dataset.
Authors
- Emanuël A. P. Habets (ORCID: https://orcid.org/0000-0002-2613-8046)
- Nils Meyer‐Kahlen (ORCID: https://orcid.org/0000-0002-0959-4306)
- Philipp Götz
- Karolina Prawda (ORCID: https://orcid.org/0000-0003-1026-5486)
- Sebastian J. Schlecht (ORCID: https://orcid.org/0000-0001-8858-4642)
- Georg Götz (ORCID: https://orcid.org/0000-0003-2896-5341)
- Kyung Yun Lee
Institutions
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- International Audio Laboratories Erlangen (DE)
- Fraunhofer Institute for Integrated Circuits (DE)
- Aalto University (FI)
Publication Details
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1109/iwaenc61483.2024.10694356
- Citations
- 2
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.42