Maas R, Sehr A, Kellermann W (2011)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2011
City/Town: Düsseldorf, Germany
Pages Range: 217-218
Conference Proceedings Title: Deutsche Jahrestagung für Akustik (DAGA)
The REMOS (REverberation MOdeling for Speech recognition) concept for reverberation-robust distanttalking speech recognition [1] is presented in this paper. REMOS extends a conventional hidden Markov model (HMM) trained on close-talking data with a reverberation model describing the acoustical environment. The combination of both models is performed during recognition to match the reverberant observation. Since varying acoustic conditions only require a reestimation of the reverberation model, REMOS is significantly more flexible than recognition systems trained on reverberant data.
APA:
Maas, R., Sehr, A., & Kellermann, W. (2011). Reverberation Modeling for Robust Speech Recognition. In Deutsche Jahrestagung für Akustik (DAGA) (pp. 217-218). Düsseldorf, DE: Düsseldorf, Germany.
MLA:
Maas, Roland, Armin Sehr, and Walter Kellermann. "Reverberation Modeling for Robust Speech Recognition." Proceedings of the Deutsche Jahrestagung für Akustik (DAGA), Düsseldorf Düsseldorf, Germany, 2011. 217-218.
BibTeX: Download