Name
Title | ||
|---|---|---|
On the integration of time-frequency masking speech separation and recognition in underdetermined environments |
Abstract | ||
|---|---|---|
The successful application of automatic speech recognition systems in the real world is conditional on its ability to handle realistic environments with unfavorable conditions such as reverberation and multiple sources of inteference. Previous research has identified time-frequency masking based approaches to blind source separation as a viable approach for multisource reverberant source separation. It is proposed the use of such separation techniques as a front-end to speech recognition will encourage greater recognition accuracy. Experimental evaluations confirmed the hypothesis with an improvement in recognition accuracy of over 20% at a reverberation time of RT60 = 300ms; this is indicative of the potential for future research in this field. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ACSSC.2012.6489303 | Signals, Systems and Computers |
Keywords | DocType | ISSN |
blind source separation,speech recognition,automatic speech recognition systems,blind source separation,time frequency masking speech recognition,time frequency masking speech separation,underdetermined environments | Conference | 1058-6393 |
ISBN | Citations | PageRank |
978-1-4673-5050-1 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ingrid Jafari | 1 | 0 | 0.34 |
| Serajul Haque | 2 | 0 | 0.34 |
| Roberto Togneri | 3 | 814 | 48.33 |
| Sven Nordholm | 4 | 405 | 62.82 |