SPEECHDAT-CAR. a large speech database for automotive environments. A Moreno, B Lindberg, C Draxler, G Richard, K Choukri, S Euler, J Allen LREC, 2000 | 197 | 2000 |
EUROM-a spoken language resource for the EU D Chan, A Fourcin, D Gibbon, B Granstrom, M Huckvale, G Kokkinakis, ... Proceedings of the 4th European Conference on Speech Communication and …, 1995 | 195 | 1995 |
Low-complexity variable frame rate analysis for speech recognition and voice activity detection ZH Tan, B Lindberg IEEE Journal of Selected Topics in Signal Processing 4 (5), 798-807, 2010 | 122 | 2010 |
Automatic speech recognition on mobile devices and over communication networks ZH Tan, B Lindberg Springer Science & Business Media, 2008 | 99 | 2008 |
Automatic speech recognition on mobile devices and over communication networks ZH Tan, B Lindberg Springer Science & Business Media, 2008 | 99 | 2008 |
A Noise Robust Multilingual Reference Recogniser Based on Speechdat (II). B Lindberg, FT Johansen, ND Warakagoda, G Lehtinen, Z Kacic, A Zgank, ... INTERSPEECH, 370-373, 2000 | 91 | 2000 |
Automatic speech recognition over error-prone wireless networks ZH Tan, P Dalsgaard, B Lindberg Speech Communication 47 (1-2), 220-242, 2005 | 60 | 2005 |
Robust speech recognition based on noise and snr classification-a multiple-model framework H Xu, ZH Tan, P Dalsgaard, B Lindberg Ninth European Conference on Speech Communication and Technology, 2005 | 47 | 2005 |
The COST 249 SpeechDat Multilingual Reference Recogniser. FT Johansen, ND Warakagoda, B Lindberg, G Lehtinen, Z Kacic, A Zgank, ... LREC, 2000 | 43 | 2000 |
Modelling intonation contours at the phrase level using continuous density hidden Markov models U Jensen, RK Moore, P Dalsgaard, B Lindberg Computer Speech & Language 8 (3), 247-260, 1994 | 42 | 1994 |
Employing heterogeneous information in a multi-stream framework H Christensen, B Lindberg, O Andersen 2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000 | 37 | 2000 |
Segment based variable frame rate speech analysis and recognition using a spectral variation function. G Flammia, P Dalsgaard, O Andersen, B Lindberg ICSLP 92, 983-986, 1992 | 32 | 1992 |
Noise condition-dependent training based on noise classification and SNR estimation H Xu, P Dalsgaard, ZH Tan, BØ Lindberg IEEE transactions on audio, speech, and language processing 15 (8), 2431-2443, 2007 | 30 | 2007 |
Exploiting temporal correlation of speech for error robust and bandwidth flexible distributed speech recognition ZH Tan, P Dalsgaard, B Lindberg IEEE transactions on audio, speech, and language processing 15 (4), 1391-1403, 2007 | 23 | 2007 |
A subvector-based error concealment algorithm for speech recognition over mobile networks ZH Tan, P Daisgaard, B Lindberg 2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004 | 23 | 2004 |
Speech recognition on mobile devices ZH Tan, B Lindberg Mobile Multimedia Processing: Fundamentals, Methods, and Applications, 221-237, 2010 | 20 | 2010 |
Network, distributed and embedded speech recognition: An overview ZH Tan, B Lindberg, ZH Tan, I Varga Automatic speech recognition on mobile devices and over communication …, 2008 | 20 | 2008 |
Speaker recruitment methods and speaker coverage-experiences from a large multilingual speech database collection B Lindberg, R Comeyne, C Draxler, F Senia Fifth International Conference on Spoken Language Processing, 1998 | 19 | 1998 |
Environmental and Speaker Specific Coverage for the Fixed Network F Senia, R Comeyne, B Lindberg Aalborg Universitetsforlag, 1997 | 19 | 1997 |
The Danish spoken language dialogue project-a general overview A Baekgaard, NO Bernsen, T Brøndsted, P Dalsgaard, H Dybkjær, ... Spoken Dialogue Systems-Theories and Applications, 1995 | 19 | 1995 |