| The interspeech 2012 speaker trait challenge B Schuller, S Steidl, A Batliner, E Nöth, A Vinciarelli, F Burkhardt, ... INTERSPEECH 2012, Portland, OR, USA, 2012 | 299 | 2012 |
| Age and gender recognition for telephone applications based on gmm supervectors and support vector machines T Bocklet, A Maier, JG Bauer, F Burkhardt, E Noth 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 165 | 2008 |
| NeuroSpeech: An open-source software for Parkinson's speech analysis JR Orozco-Arroyave, JC Vásquez-Correa, JF Vargas-Bonilla, R Arora, ... Digital Signal Processing 77, 207-221, 2018 | 97 | 2018 |
| Detection of persons with Parkinson's disease by acoustic, vocal, and prosodic analysis T Bocklet, E Nöth, G Stemmer, H Ruzickova, J Rusz 2011 IEEE workshop on automatic speech recognition & understanding, 478-483, 2011 | 93 | 2011 |
| A survey on perceived speaker traits: Personality, likability, pathology, and the first challenge B Schuller, S Steidl, A Batliner, E Nöth, A Vinciarelli, F Burkhardt, ... Computer speech & language 29 (1), 100-131, 2015 | 88 | 2015 |
| Automatic detection of articulation disorders in children with cleft lip and palate A Maier, F Hönig, T Bocklet, E Nöth, F Stelzle, E Nkenke, M Schuster The Journal of the Acoustical Society of America 126 (5), 2589-2602, 2009 | 79 | 2009 |
| Low resource key phrase detection for wake on voice T Bocklet, J Hofer US Patent 9,792,907, 2017 | 77 | 2017 |
| Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease JC Vásquez-Correa, JR Orozco-Arroyave, T Bocklet, E Nöth Journal of communication disorders 76, 21-36, 2018 | 66 | 2018 |
| Automatic evaluation of parkinson's speech-acoustic, prosodic and voice related cues. T Bocklet, S Steidl, E Nöth, S Skodda Interspeech, 1149-1153, 2013 | 65 | 2013 |
| The SRI NIST 2008 speaker recognition evaluation system SS Kajarekar, N Scheffer, M Graciarena, E Shriberg, A Stolcke, L Ferrer, ... | 63 | 2009 |
| Automatic, computer‐based speech assessment on edentulous patients with and without complete dentures–preliminary results F Stelzle, B Ugrinovic, C Knipfer, T Bocklet, E Nöth, M Schuster, S Eitner, ... Journal of oral rehabilitation 37 (3), 209-216, 2010 | 62 | 2010 |
| Method and system of speaker recognition using context aware confidence modeling JJ Huang, G Cilingir, T Bocklet US Patent 10,468,032, 2019 | 53 | 2019 |
| Automatically evaluated degree of intelligibility of children with different cleft type from preschool and elementary school measured by automatic speech recognition M Schuster, A Maier, T Bocklet, E Nkenke, A Holst, U Eysholdt, F Stelzle International journal of pediatric otorhinolaryngology 3 (76), 362-369, 2012 | 53 | 2012 |
| Automatic intelligibility assessment of speakers after laryngeal cancer by means of acoustic modeling T Bocklet, K Riedhammer, E Nöth, U Eysholdt, T Haderlein Journal of Voice 26 (3), 390-397, 2012 | 50 | 2012 |
| Age determination of children in preschool and primary school age with gmm-based supervectors and support vector machines/regression T Bocklet, A Maier, E Nöth Text, Speech and Dialogue: 11th International Conference, TSD 2008, Brno …, 2008 | 46 | 2008 |
| Speaker recognition using syllable-based constraints for cepstral frame selection T Bocklet, E Shriberg 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 44 | 2009 |
| Factors influencing relative speech intelligibility in patients with oral squamous cell carcinoma: a prospective study using automatic, computer-based speech analysis F Stelzle, C Knipfer, M Schuster, T Bocklet, E Nöth, W Adler, L Schempf, ... International Journal of Oral and Maxillofacial Surgery 42 (11), 1377-1384, 2013 | 43 | 2013 |
| Age and gender recognition based on multiple systems-early vs. late fusion T Bocklet, G Stemmer, V Zeissler, E Nöth Eleventh Annual Conference of the International Speech Communication Association, 2010 | 42 | 2010 |
| Method and system of neural network keyphrase detection T Bocklet, J Ossowski, T Dorau, M Muchlinski, D Pearce, P Rozen US Patent 10,650,807, 2020 | 39 | 2020 |
| Systems and methods for energy efficient and low power distributed automatic speech recognition on wearable devices BK Ravindran, FM Tharappel, PR Datta, T Bocklet, M Muchlinski, T Dorau, ... US Patent 10,373,630, 2019 | 36 | 2019 |
Elmar NöthUniversity of Erlangen-NurembergGeverifieerd e-mailadres voor informatik.uni-erlangen.de
