Estimation of Modal Decay Parameters from Noisy Response Measurements

By Matti Karjalainen, Poju Antsalo, Aki Mäkivirta, T. Peltonen, Vesa Välimäki. 2002

147 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/64e2a3f38dc2afdf623fd91e7d854c048af371a1

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1. Volker Hohmann
2. Marju Purin
3. B. Kollmeier
4. T. Rohdenburg
5. Ando Saabas
6. J. Anemüller
7. Tanel Pärnamaa
8. S. Ewert

Citations in the corpus

• ICASSP 2021 Deep Noise Suppression Challenge (2020, methodology): “A RIR with low C50 can be described as highly reverberant and vice versa [22, 23].”
• ICASSP 2022 Acoustic Echo Cancellation Challenge (2022, methodology): “The RT60 distribution for 4387 desktop environments in the real dataset for which impulse response measurements were available is estimated using a method by Karjalainen et al. [12] and shown in Figure 1.”
• Database of Multichannel In-Ear and Behind-the-Ear Head-Related and Binaural Room Impulse Responses (2009, background): “Generally, an exponential decay in time is expected and the decay rate was found by fitting an exponential curve to the computed decay of energy [20].”