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Tino Haderlein
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2020 – today
- 2021
- [c34]Ralph Scheuerer, Tino Haderlein, Elmar Nöth, Tobias Bocklet
:
Applying X-Vectors on Pathological Speech After Larynx Removal. ASRU 2021: 1079-1086
2010 – 2019
- 2019
- [c33]Philipp Klumpp, Juan Camilo Vásquez-Correa
Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data. INTERSPEECH 2019: 3068-3072 - 2018
- [c32]Tino Haderlein
Subtext Word Accuracy and Prosodic Features for Automatic Intelligibility Assessment. TSD 2018: 473-481 - 2017
- [c31]Katrin Mentl, Boris Mailhé, Florin C. Ghesu, Frank Schebesch, Tino Haderlein, Andreas K. Maier, Mariappan S. Nadar:
Noise reduction in low-dose ct using a 3D multiscale sparse denoising autoencoder. MLSP 2017: 1-6 - [c30]Tino Haderlein, Anne Schützenberger, Michael Döllinger
Robust Automatic Evaluation of Intelligibility in Voice Rehabilitation Using Prosodic Analysis. TSD 2017: 11-19 - [c29]Fadi Sindran, Firas Mualla, Tino Haderlein, Khaled Daqrouq, Elmar Nöth:
Automatic Preparation of Standard Arabic Phonetically Rich Written Corpora with Different Linguistic Units. TSD 2017: 201-209 - 2016
- [c28]Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Tino Haderlein, Elmar Nöth:
Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech. ITG Symposium on Speech Communication 2016: 1-5 - [c27]Tino Haderlein, Anne Schützenberger, Michael Döllinger, Elmar Nöth:
Voice and Speech Assessment From Telephone Recordings Using Prosodic Analysis Based on u-Law-Companded Features. ITG Symposium on Speech Communication 2016: 1-5 - [c26]Elkyn Alexander Belalcázar-Bolaños, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla
Glottal Flow Patterns Analyses for Parkinson's Disease Detection: Acoustic and Nonlinear Approaches. TSD 2016: 400-407 - [c25]Tino Haderlein, Michael Döllinger
Influence of Reverberation on Automatic Evaluation of Intelligibility with Prosodic Features. TSD 2016: 461-469 - 2015
- [j3]Tino Haderlein, Cornelia Schwemmle, Michael Döllinger
Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis. Comput. Math. Methods Medicine 2015: 316325:1-316325:11 (2015) - [c24]Tomas Lustyk, Petr Bergl, Tino Haderlein, Elmar Nöth, Roman Cmejla:
Language-independent method for analysis of German stuttering recordings. INTERSPEECH 2015: 2947-2951 - [c23]Juan Rafael Orozco-Arroyave
Automatic Detection of Parkinson's Disease in Reverberant Environments. TSD 2015: 80-87 - [c22]Tino Haderlein, Catherine Middag, Florian Hönig, Jean-Pierre Martens, Michael Döllinger
Language-Independent Age Estimation from Speech Using Phonological and Phonemic Features. TSD 2015: 165-173 - 2014
- [c21]Juan Rafael Orozco-Arroyave
Phonation and Articulation Analysis of Spanish Vowels for Automatic Detection of Parkinson's Disease. TSD 2014: 374-381 - [c20]Tino Haderlein, Catherine Middag, Andreas K. Maier, Jean-Pierre Martens, Michael Döllinger
Visualization of Intelligibility Measured by Language-Independent Features. TSD 2014: 547-554 - 2012
- [c19]Tino Haderlein, Cornelia Moers, Bernd Möbius
Automatic Rating of Hoarseness by Text-based Cepstral and Prosodic Evaluation. TSD 2012: 573-580 - 2011
- [c18]Tino Haderlein, Cornelia Moers, Bernd Möbius
Intelligibility Rating with Automatic Speech Recognition, Prosodic, and Cepstral Evaluation. TSD 2011: 195-202 - 2010
- [j2]Andreas K. Maier, Tino Haderlein, Florian Stelzle, Elmar Nöth, Emeka Nkenke, Frank Rosanowski, Anne Schützenberger, Maria Schuster:
Automatic Speech Recognition Systems for the Evaluation of Voice and Speech Disorders in Head and Neck Cancer. EURASIP J. Audio Speech Music. Process. 2010 (2010) - [c17]Tobias Bocklet
Automatic Detection and Evaluation of Edentulous Speakers with Insufficient Dentures. TSD 2010: 243-250
2000 – 2009
- 2009
- [j1]Andreas K. Maier
PEAKS - A system for the automatic evaluation of voice and speech disorders. Speech Commun. 51(5): 425-437 (2009) - [c16]Andreas K. Maier, Stefan Wenhardt, Tino Haderlein, Maria Schuster, Elmar Nöth:
A microphone-independent visualization technique for speech disorders. INTERSPEECH 2009: 951-954 - [c15]Tino Haderlein, Tobias Bocklet
Objective vs. Subjective Evaluation of Speakers with and without Complete Dentures. TSD 2009: 170-177 - 2008
- [c14]Tino Haderlein, Elmar Nöth
Influence of Reading Errors on the Text-Based Automatic Evaluation of Pathologic Voices. TSD 2008: 325-332 - [c13]Andreas K. Maier
An Extension to the Sammon Mapping for the Robust Visualization of Speaker Dependencies. TSD 2008: 381-388 - 2007
- [b1]Tino Haderlein:
Automatic evaluation of tracheoesophageal substitute voices. University of Erlangen-Nuremberg, Germany, 2007, ISBN 978-3-8325-1769-4, pp. 1-220 - [c12]Korbinian Riedhammer
Towards robust automatic evaluation of pathologic telephone speech. ASRU 2007: 717-722 - [c11]Tino Haderlein, Korbinian Riedhammer
An Automatic Version of the Post-Laryngectomy Telephone Test. TSD 2007: 238-245 - [c10]Andreas K. Maier, Tino Haderlein, Maria Schuster, Emeka Nkenke, Elmar Nöth:
Intelligibility Is More Than a Single Word: Quantification of Speech Intelligibility by ASR and Prosody. TSD 2007: 278-285 - [c9]Elmar Nöth, Andreas K. Maier, Tino Haderlein, Korbinian Riedhammer
Automatic Evaluation of Pathologic Speech - from Research to Routine Clinical Use. TSD 2007: 294-301 - 2006
- [c8]Andreas K. Maier
Intelligibility of Children with Cleft Lip and Palate: Evaluation by Speech Recognition Techniques. ICPR (4) 2006: 274-277 - [c7]Andreas K. Maier, Tino Haderlein, Elmar Nöth:
Environmental Adaptation with a Small Data Set of the Target Domain. TSD 2006: 431-437 - [c6]Tino Haderlein, Dominik Zorn, Stefan Steidl, Elmar Nöth, Makoto Shozakai, Maria Schuster:
Visualization of Voice Disorders Using the Sammon Transform. TSD 2006: 589-596 - 2005
- [c5]Maria Schuster, Elmar Nöth
Can you Understand him? Let's Look at his Word Accuracy - Automatic Evaluation of Tracheoesophageal Speech. ICASSP (1) 2005: 61-64 - [c4]Tino Haderlein, Elmar Nöth, Wolfgang Herbordt, Walter Kellermann, Heinrich Niemann:
Using Artificially Reverberated Training Data in Distant-Talking ASR. TSD 2005: 226-233 - 2004
- [c3]Tino Haderlein, Stefan Steidl, Elmar Nöth, Frank Rosanowski, Maria Schuster:
Automatic Recognition and Evaluation of Tracheoesophageal Speech. TSD 2004: 331-338 - 2003
- [c2]Tino Haderlein, Georg Stemmer
Speech Recognition with mu-Law Companded Features on Reverberated Signals. TSD 2003: 173-180 - 2000
- [c1]Elmar Nöth, Heinrich Niemann, Tino Haderlein, M. Decher, Ulrich Eysholdt, Frank Rosanowski, Thomas Wittenberg:
Automatic stuttering recognition using hidden Markov models. INTERSPEECH 2000: 65-68
Coauthor Index
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