Name
Abstract | ||
|---|---|---|
Three possible methods of detecting recorded speech were analysed and tested according to their applicability in the field of voicemail detection in this paper. Methods chosen for testing were: transmission channel characteristics extraction with PFCC, recorded speech detection with trained pattern classifier, differences in transmission channels and speech recognition. Most of the tests gave results credible enough to confirm methods' usefulness in the field of voicemail detection. Suggestions of implementation possibilities and parameters of each method and possible trends of further studies were also included. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/AFRCON.2015.7332045 | PROCEEDINGS OF THE 2015 12TH IEEE AFRICON INTERNATIONAL CONFERENCE - GREEN INNOVATION FOR AFRICAN RENAISSANCE (AFRICON) |
Keywords | Field | DocType |
speech analysis,speaker recognition,speech recognition | Speech corpus,Speech processing,Pattern recognition,Audio mining,Voice activity detection,Computer science,Speech recognition,Speaker recognition,Artificial intelligence,Classifier (linguistics),Voicemail,Acoustic model | Conference |
ISSN | Citations | PageRank |
2153-0025 | 0 | 0.34 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| bartosz stolinski | 1 | 0 | 0.34 |
| Bartosz Ziólko | 2 | 46 | 15.76 |