Name
Title | ||
|---|---|---|
ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets, Testing Framework, and Results |
Abstract | ||
|---|---|---|
The ICASSP 2021 Acoustic Echo Cancellation Challenge is intended to stimulate research in the area of acoustic echo cancellation (AEC), which is an important part of speech enhancement and still a top issue in audio communication and conferencing systems. Many recent AEC studies report good performance on synthetic datasets where the train and test samples come from the same underlying distributio... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICASSP39728.2021.9413457 | ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Keywords | DocType | ISBN |
Deep learning,Echo cancellers,Conferences,Life estimation,Speech enhancement,Telephony,Signal processing | Conference | 978-1-7281-7605-5 |
Citations | PageRank | References |
4 | 0.42 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kusha Sridhar | 1 | 5 | 2.81 |
| Ross Cutler | 2 | 157 | 18.29 |
| Ando Saabas | 3 | 5 | 1.80 |
| Tanel Parnamaa | 4 | 4 | 0.76 |
| Markus Loide | 5 | 4 | 0.42 |
| Hannes Gamper | 6 | 61 | 10.76 |
| Sebastian Braun | 7 | 36 | 5.61 |
| Robert Aichner | 8 | 208 | 16.18 |
| Sriram Srinivasan | 9 | 379 | 27.92 |