Time-domain beamforming and blind source separation : speech input in the car environment
Time-Domain Beamforming and Blind Source Separation addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. While existing techniques require a Double-Talk Detector (DTD) that interrupts the adaptation wh...
Bewaard in:
| Hoofdauteurs: | , |
|---|---|
| Formaat: | Livre numérique |
| Taal: | Anglais |
| Gepubliceerd in: |
New York, NY :
Springer US
2009.
Cham : Springer Nature |
| Reeks: | Lecture Notes in Electrical Engineering
3 |
| Online toegang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Opmerking: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Time-domain beamforming and convolutive blind source separation, applications to hands-free speech input in car environments, Julien Bourgeois and Wolfgang Minker, New York, Springer, 2007, 1 vol. (XII-225 p.), Lecture note in electrical engineering, 978-0-387-68835-0 • Filtering, segmentation, and depth, M. Nitzberg, D. Mumford, T. Shiota, 1993, Berlin, Springer-Verlag, 1 vol. (VI-143 p.), Lecture notes in computer science, 3-540-56484-5 • Time-Domain Beamforming and Blind Source Separation, Texte imprimé, 9781441943323 |
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