Tobias Bocklet
Tobias Bocklet
Technische Hochschule Nürnberg & Intel Labs
Verified email at - Homepage
Cited by
Cited by
The interspeech 2012 speaker trait challenge
B Schuller, S Steidl, A Batliner, E Nöth, A Vinciarelli, F Burkhardt, ...
INTERSPEECH 2012, Portland, OR, USA, 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
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
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
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
Low resource key phrase detection for wake on voice
T Bocklet, J Hofer
US Patent 9,792,907, 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
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
Automatic evaluation of parkinson's speech-acoustic, prosodic and voice related cues.
T Bocklet, S Steidl, E Nöth, S Skodda
Interspeech, 1149-1153, 2013
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
Method and system of speaker recognition using context aware confidence modeling
JJ Huang, G Cilingir, T Bocklet
US Patent 10,468,032, 2019
The SRI NIST 2008 speaker recognition evaluation system
SS Kajarekar, N Scheffer, M Graciarena, E Shriberg, A Stolcke, L Ferrer, ...
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
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
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
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
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
international conference on Text, Speech and Dialogue, 253-260, 2008
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
Speaker recognition using syllable-based constraints for cepstral frame selection
T Bocklet, E Shriberg
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
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
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