| On the automatic segmentation of speech signals T Svendsen, F Soong ICASSP'87. IEEE International Conference on Acoustics, Speech, and Signal …, 1987 | 224 | 1987 |
| An artificial neural network approach to automatic speech processing SM Siniscalchi, T Svendsen, CH Lee Neurocomputing 140, 326-338, 2014 | 98 | 2014 |
| Experiments on cross-language attribute detection and phone recognition with minimal target-specific training data SM Siniscalchi, DC Lyu, T Svendsen, CH Lee IEEE transactions on audio, speech, and language processing 20 (3), 875-887, 2011 | 94 | 2011 |
| Maximum likelihood modelling of pronunciation variation T Holter, T Svendsen Speech Communication 29 (2-4), 177-191, 1999 | 90 | 1999 |
| Toward a detector-based universal phone recognizer SM Siniscalchi, T Svendsen, CH Lee 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 75 | 2008 |
| Universal attribute characterization of spoken languages for automatic spoken language recognition SM Siniscalchi, J Reed, T Svendsen, CH Lee Computer Speech & Language 27 (1), 209-227, 2013 | 68 | 2013 |
| An improved sub-word based speech recognizer T Svendsen, KK Paliwal, E Harborg, PO Husoy International Conference on Acoustics, Speech, and Signal Processing,, 108-111, 1989 | 53 | 1989 |
| Towards bottom-up continuous phone recognition SM Siniscalchi, T Svendsen, CH Lee 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU …, 2007 | 46 | 2007 |
| Exploring universal attribute characterization of spoken languages for spoken language recognition. SM Siniscalchi, J Reed, T Svendsen, CH Lee Interspeech, 168-171, 2009 | 44 | 2009 |
| iVector Approach to Phonotactic Language Recognition. M Soufifar, M Kockmann, L Burget, O Plchot, O Glembek, T Svendsen INTERSPEECH, 2913-2916, 2011 | 41 | 2011 |
| Optimizing baseforms for HMM-based speech recognition T rn Svendsen, FK Soong, H Purnhagen To appear in Proc. EUROSPEECH 95, 1, 1995 | 41 | 1995 |
| Wav2vec2-based speech rating system for children with speech sound disorder Y Getman, R Al-Ghezi, E Voskoboinik, T Grósz, M Kurimo, G Salvi, ... Interspeech, 3618-3622, 2022 | 32 | 2022 |
| A bottom-up modular search approach to large vocabulary continuous speech recognition SM Siniscalchi, T Svendsen, CH Lee IEEE transactions on audio, speech, and language processing 21 (4), 786-797, 2012 | 30 | 2012 |
| A VLSI implementation of pdf computations in HMM based speech recognition J Pihl, T Svendsen, MH Johnsen Proceedings of Digital Processing Applications (TENCON'96) 1, 241-246, 1996 | 27 | 1996 |
| Combined optimisation of baseforms and model parameters in speech recognition based on acoustic subword units T Holter, T Svendsen 1997 IEEE Workshop on Automatic Speech Recognition and Understanding …, 1997 | 25 | 1997 |
| Automatic alignment of phonemic labels with continuous speech. T Svendsen, K Kvale ICSLP, 997-1000, 1990 | 24 | 1990 |
| RUNDKAST: an Annotated Norwegian Broadcast News Speech Corpus. I Amdal, OM Strand, J Almberg, T Svendsen LREC, 2008 | 23 | 2008 |
| Sequence-to-sequence articulatory inversion through time convolution of sub-band frequency signals AS Shahrebabaki, SM Siniscalchi, G Salvi, T Svendsen database 1, 5, 2020 | 20 | 2020 |
| A Bottom-Up Stepwise Knowledge-Integration Approach to Large Vocabulary Continuous Speech Recognition Using Weighted Finite State Machines. SM Siniscalchi, T Svendsen, CH Lee INTERSPEECH, 901-904, 2011 | 20 | 2011 |
| Exploiting context-dependency and acoustic resolution of universal speech attribute models in spoken language recognition. SM Siniscalchi, J Reed, T Svendsen, CH Lee INTERSPEECH, 2718-2721, 2010 | 20 | 2010 |
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