Name
Abstract | ||
|---|---|---|
The problem of speaker tracking in noisy and reverberant enclosures is addressed in this paper. We present a hybrid algorithm, combining traditional tracking schemes with a new learning-based approach. A state-space representation, consisting of a propagation and observation models, is learned from signals measured by several distributed microphone pairs. The proposed representation is based on tw... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TASLP.2018.2790707 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Acoustics,Acoustic measurements,Speech,Microphones,Manifolds,Training,Speech processing | Speech processing,Extended Kalman filter,Hybrid algorithm,Pattern recognition,Computer science,Robustness (computer science),Gaussian process,Statistical model,Artificial intelligence,Multilateration,Microphone | Journal |
Volume | Issue | ISSN |
26 | 4 | 2329-9290 |
Citations | PageRank | References |
1 | 0.35 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bracha Laufer-Goldshtein | 1 | 21 | 5.22 |
| Ronen Talmon | 2 | 234 | 27.28 |
| Sharon Gannot | 3 | 1754 | 130.51 |