Name
Abstract | ||
|---|---|---|
A supporting system of voice analysis for emergency call centers is being developed at AGH University of Science and Technology in Krakow. The aim of our work is to provide an innovative supporting tool for rapid and accurate assessment of caller profile. The project covers not only speaker identification (when speaker's speech sample is known), but also speaker's gender and age detection, recognition of emotions, recognition of acoustic background. The system consists' of: speech signal analysis, voiceprints learning, adaptation and classification. |
Year | Venue | Keywords |
|---|---|---|
2015 | 16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5 | speaker recognition, emotion detection, age detection, acoustic background detection, emergency call center |
Field | DocType | Citations |
Speaker identification,Computer science,Speech recognition | Conference | 2 |
PageRank | References | Authors |
0.38 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jakub Galka | 1 | 44 | 7.47 |
| Joanna Grzybowska | 2 | 2 | 0.38 |
| Magdalena Igras | 3 | 7 | 1.88 |
| Jaciow, P. | 4 | 3 | 1.07 |
| Kamil Wajda | 5 | 2 | 0.38 |
| Marcin Witkowski | 6 | 15 | 2.44 |
| Mariusz Ziólko | 7 | 16 | 4.96 |