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Tobias Bocklet
Tobias Bocklet
Technische Hochschule Nürnberg
Verified email at th-nuernberg.de - Homepage
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Cited by
Year
The interspeech 2012 speaker trait challenge
B Schuller, S Steidl, A Batliner, E Nöth, A Vinciarelli, F Burkhardt, ...
INTERSPEECH 2012, Portland, OR, USA, 2012
3002012
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
1662008
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
1012018
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
952011
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
902015
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
802009
Low resource key phrase detection for wake on voice
T Bocklet, J Hofer
US Patent 9,792,907, 2017
792017
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
692018
Automatic evaluation of parkinson's speech-acoustic, prosodic and voice related cues.
T Bocklet, S Steidl, E Nöth, S Skodda
Interspeech, 1149-1153, 2013
662013
The SRI NIST 2008 speaker recognition evaluation system
SS Kajarekar, N Scheffer, M Graciarena, E Shriberg, A Stolcke, L Ferrer, ...
632009
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
622010
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
542012
Method and system of speaker recognition using context aware confidence modeling
JJ Huang, G Cilingir, T Bocklet
US Patent 10,468,032, 2019
532019
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
502012
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
482008
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
442010
Speaker recognition using syllable-based constraints for cepstral frame selection
T Bocklet, E Shriberg
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
442009
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
432013
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
422020
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
382019
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