Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDElmar Nöth
Person information
- affiliation: University of Erlangen-Nuremberg, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j33]Tomas Arias-Vergara, Patricia Argüello-Vélez
, Juan Camilo Vásquez-Correa, Elmar Nöth, Maria Schuster, María Claudia Gonzalez-Rátiva, Juan Rafael Orozco-Arroyave:
Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units. Digit. Signal Process. 104: 102779 (2020)- [j32]Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Maria Schuster, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate. Speech Commun. 122: 56-67 (2020) - [c243]Juan Camilo Vásquez-Correa, Tobias Bocklet, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson's Disease Patients. ICASSP 2020: 6544-6548 - [c242]Christian Bergler, Manuel Schmitt, Andreas Maier, Simeon Smeele, Volker Barth, Elmar Nöth:
ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication. INTERSPEECH 2020: 1136-1140 - [c241]Philipp Klumpp, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Florian Hönig, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Surgical Mask Detection with Deep Recurrent Phonetic Models. INTERSPEECH 2020: 2057-2061 - [c240]Patricia Argüello-Vélez, Tomas Arias-Vergara, María Claudia Gonzalez-Rátiva, Juan Rafael Orozco-Arroyave, Elmar Nöth, Maria Schuster:
Acoustic Characteristics of VOT in Plosive Consonants Produced by Parkinson's Patients. TDS 2020: 303-311 - [c239]Cristian David Rios-Urrego, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Transfer Learning to Detect Parkinson's Disease from Speech In Different Languages Using Convolutional Neural Networks with Layer Freezing. TDS 2020: 331-339 - [c238]Gabriel F. Miller, Juan Camilo Vásquez-Correa, Elmar Nöth:
Assessing the Dysarthria Level of Parkinson's Disease Patients with GMM-UBM Supervectors Using Phonological Posteriors and Diadochokinetic Exercises. TDS 2020: 356-365 - [i5]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Cristian D. Rios-Urrego, Maria Schuster, Jan Rusz, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages. CoRR abs/2002.04374 (2020) - [i4]Cristian D. Rios-Urrego, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Elmar Nöth, Francisco Lopera, Juan Rafael Orozco-Arroyave:
Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features. CoRR abs/2002.05411 (2020) - [i3]Juan Camilo Vásquez-Correa, Tobias Bocklet, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson's disease patients. CoRR abs/2002.05412 (2020)
2010 – 2019
- 2019
- [j31]Cristian D. Rios-Urrego, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Elmar Nöth, Francisco Lopera, Juan Rafael Orozco-Arroyave:
Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features. Comput. Methods Programs Biomed. 173: 43-52 (2019) - [j30]Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Björn Eskofier, Jochen Klucken, Elmar Nöth:
Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach. IEEE J. Biomed. Health Informatics 23(4): 1618-1630 (2019) - [c237]Nina Hosseini-Kivanani, Juan Camilo Vásquez-Correa, Manfred Stede, Elmar Nöth:
Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies. ACL (2) 2019: 74-80 - [c236]Carlos A. Ferrer-Riesgo, Idileisy Torres-Rodríguez, Alberto Taboada-Crispí, Elmar Nöth:
Analytical Solution for the Optimal Addition of an Item to a Composite of Scores for Maximum Reliability. CIARP 2019: 408-416 - [c235]Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Sandra Gollwitzer, Juan Rafael Orozco-Arroyave, Maria Schuster, Elmar Nöth:
Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users. CIARP 2019: 679-687 - [c234]Juan Camilo Vásquez-Correa, Cristian D. Rios-Urrego, Alice Rueda, Juan Rafael Orozco-Arroyave, Sri Krishnan, Elmar Nöth:
Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients. CIARP 2019: 688-696 - [c233]Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Cristian D. Rios-Urrego, Maria Schuster, Jan Rusz, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages. CIARP 2019: 697-706 - [c232]Carlos A. Ferrer-Riesgo, Reinier Rodríguez Guillén, Elmar Nöth:
Bidirectional Alignment of Glottal Pulse Length Sequences for the Evaluation of Pitch Detection Algorithms. CIARP 2019: 707-716 - [c231]Marek Wodzinski, Andrzej Skalski, Daria Hemmerling, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Deep Learning Approach to Parkinson's Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification. EMBC 2019: 717-720 - [c230]Julian Fritsch, Sebastian Wankerl, Elmar Nöth:
Automatic Diagnosis of Alzheimer's Disease Using Neural Network Language Models. ICASSP 2019: 5841-5845 - [c229]Hendrik Schröter, Elmar Nöth, Andreas K. Maier, Rachael Cheng, Volker Barth, Christian Bergler:
Segmentation, Classification, and Visualization of Orca Calls Using Deep Learning. ICASSP 2019: 8231-8235 - [c228]Juan Camilo Vásquez-Correa, Philipp Klumpp, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech. INTERSPEECH 2019: 549-553 - [c227]Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Philipp Klumpp, M. Strauss, Arne Küderle, Nils Roth, S. Bayerl, Nicanor García-Ospina, Paula Andrea Pérez-Toro, L. Felipe Parra-Gallego, Cristian David Rios-Urrego, D. Escobar-Grisales, Juan Rafael Orozco-Arroyave, Björn Eskofier, Elmar Nöth:
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease. INTERSPEECH 2019: 964-965 - [c226]Björn W. Schuller, Anton Batliner, Christian Bergler, Florian B. Pokorny, Jarek Krajewski, Margaret Cychosz, Ralf Vollmann, Sonja-Dana Roelen, Sebastian Schnieder, Elika Bergelson, Alejandrina Cristià, Amanda Seidl, Anne S. Warlaumont, Lisa Yankowitz, Elmar Nöth, Shahin Amiriparian, Simone Hantke, Maximilian Schmitt:
The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity. INTERSPEECH 2019: 2378-2382 - [c225]Alice Rueda, Juan Camilo Vásquez-Correa, Cristian David Rios-Urrego, Juan Rafael Orozco-Arroyave, Sridhar Krishnan, Elmar Nöth:
Feature Representation of Pathophysiology of Parkinsonian Dysarthria. INTERSPEECH 2019: 3048-3052 - [c224]Philipp Klumpp, Juan Camilo Vásquez-Correa, Tino Haderlein, Elmar Nöth:
Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data. INTERSPEECH 2019: 3068-3072 - [c223]Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Milos Cernak, Sandra Gollwitzer, Maria Schuster, Elmar Nöth:
Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users. INTERSPEECH 2019: 3108-3112 - [c222]Christian Bergler, Manuel Schmitt, Rachael Xi Cheng, Andreas K. Maier, Volker Barth, Elmar Nöth:
Deep Learning for Orca Call Type Identification - A Fully Unsupervised Approach. INTERSPEECH 2019: 3357-3361 - [c221]Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, M. Strauss, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Natural Language Analysis to Detect Parkinson's Disease. TSD 2019: 82-90 - [c220]Christian Bergler, Manuel Schmitt, Rachael Cheng, Hendrik Schröter, Andreas K. Maier, Volker Barth, Michael Weber, Elmar Nöth:
Deep Representation Learning for Orca Call Type Classification. TSD 2019: 274-286 - [c219]Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Sandra Gollwitzer, Maria Schuster, Elmar Nöth:
Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users. TSD 2019: 299-306 - 2018
- [j29]Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Raman Arora, Najim Dehak, Phani S. Nidadavolu, Heidi Christensen, Frank Rudzicz, Maria Yancheva, Hamid R. Chinaei, Alyssa Vann, Nikolai Vogler, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth:
NeuroSpeech: An open-source software for Parkinson's speech analysis. Digit. Signal Process. 77: 207-221 (2018) - [d1]Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Raman Arora, Najim Dehak, Phani S. Nidadavolu, Heidi Christensen, Frank Rudzicz, Maria Yancheva, Hamid R. Chinaei, Alyssa Vann, Nikolai Vogler, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth:
NeuroSpeech. SoftwareX 8: 69-70 (2018) - [j28]Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Speaker models for monitoring Parkinson's disease progression considering different communication channels and acoustic conditions. Speech Commun. 101: 11-25 (2018) - [c218]Philipp Klumpp, Julian Fritsch, Elmar Nöth:
ANN-based Alzheimer's disease classification from bag of words. ITG Symposium on Speech Communication 2018: 1-4 - [c217]Laureano Moro-Velázquez, Jorge Andrés Gómez García, Juan Ignacio Godino-Llorente, Jan Rusz, Sabine Skodda, Francisco Grandas, José-Miguel Velazquez, Juan Rafael Orozco-Arroyave, Elmar Nöth, Najim Dehak:
Study of the Automatic Detection of Parkison's Disease Based on Speaker Recognition Technologies and Allophonic Distillation. EMBC 2018: 1404-1407 - [c216]Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Philipp Klumpp, Elmar Nöth:
Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices. ICASSP 2018: 6004-6008 - [c215]Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Elmar Nöth:
A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease. INTERSPEECH 2018: 456-460 - [c214]Nicanor García, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Multimodal I-vectors to Detect and Evaluate Parkinson's Disease. INTERSPEECH 2018: 2349-2353 - [c213]Juan Camilo Vásquez-Correa, Nicanor García-Ospina, Juan Rafael Orozco-Arroyave, Milos Cernak, Elmar Nöth:
Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease. TSD 2018: 453-461 - [c212]Nicanor García-Ospina, Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Milos Cernak, Elmar Nöth:
Phonological i-Vectors to Detect Parkinson's Disease. TSD 2018: 462-470 - [c211]Tino Haderlein, Anne Schützenberger, Michael Döllinger, Elmar Nöth:
Subtext Word Accuracy and Prosodic Features for Automatic Intelligibility Assessment. TSD 2018: 473-481 - [c210]L. Felipe Parra-Gallego, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Nicanor García-Ospina, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Automatic Intelligibility Assessment of Parkinson's Disease with Diadochokinetic Exercises. WEA (2) 2018: 223-230 - [c209]Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Nicanor García-Ospina, Juan Rafael Orozco-Arroyave, Elmar Nöth:
A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease. WEA (2) 2018: 268-278 - 2017
- [j27]Milos Cernak, Juan Rafael Orozco-Arroyave, Frank Rudzicz, Heidi Christensen, Juan Camilo Vásquez-Correa, Elmar Nöth:
Characterisation of voice quality of Parkinson's disease using differential phonological posterior features. Comput. Speech Lang. 46: 196-208 (2017) - [j26]Carlos M. Travieso, Jesús B. Alonso, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Elmar Nöth, Antonio G. Ravelo-García:
Detection of different voice diseases based on the nonlinear characterization of speech signals. Expert Syst. Appl. 82: 184-195 (2017) - [c208]Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Raman Arora, Elmar Nöth, Najim Dehak, Heidi Christensen, Frank Rudzicz, Tobias Bocklet, Milos Cernak, Hamid R. Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Maria Yancheva, Alyssa Vann, Nikolai Vogler:
Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. ICASSP 2017: 2966-2970 - [c207]Juan Camilo Vásquez-Correa, J. Serra, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Effect of acoustic conditions on algorithms to detect Parkinson's disease from speech. ICASSP 2017: 5065-5069 - [c206]Milos Cernak, Elmar Nöth, Frank Rudzicz, Heidi Christensen, Juan Rafael Orozco-Arroyave, Raman Arora, Tobias Bocklet, Hamidreza Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Juan Camilo Vásquez-Correa, Maria Yancheva, Alyssa Vann, Nikolai Vogler:
On the impact of non-modal phonation on phonological features. ICASSP 2017: 5090-5094 - [c205]Nicanor García, Juan Rafael Orozco-Arroyave, Luis Fernando D'Haro, Najim Dehak, Elmar Nöth:
Evaluation of the Neurological State of People with Parkinson's Disease Using i-Vectors. INTERSPEECH 2017: 299-303 - [c204]Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson's Disease. INTERSPEECH 2017: 314-318 - [c203]Philipp Klumpp, Thomas Janu, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Apkinson - A Mobile Monitoring Solution for Parkinson's Disease. INTERSPEECH 2017: 1839-1843 - [c202]Sebastian Wankerl, Elmar Nöth, Stefan Evert:
An N-Gram Based Approach to the Automatic Diagnosis of Alzheimer's Disease from Spoken Language. INTERSPEECH 2017: 3162-3166 - [c201]Tino Haderlein, Anne Schützenberger, Michael Döllinger, Elmar Nöth:
Robust Automatic Evaluation of Intelligibility in Voice Rehabilitation Using Prosodic Analysis. TSD 2017: 11-19 - [c200]Nicanor García, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Najim Dehak, Elmar Nöth:
Language Independent Assessment of Motor Impairments of Patients with Parkinson's Disease Using i-Vectors. TSD 2017: 147-155 - [c199]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 - [c198]Juan Camilo Vásquez-Correa, Reynel Castrillón, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Speaker Model to Monitor the Neurological State and the Dysarthria Level of Patients with Parkinson's Disease. TSD 2017: 272-280 - [c197]Tomas Arias-Vergara, Philipp Klumpp, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Parkinson's Disease Progression Assessment from Speech Using a Mobile Device-Based Application. TSD 2017: 371-379 - 2016
- [c196]Tomas 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 - [c195]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 - [c194]Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Wavelet-Based Time-Frequency Representations for Automatic Recognition of Emotions from Speech. ITG Symposium on Speech Communication 2016: 1-5 - [c193]Sebastian Wankerl, Elmar Nöth, Stefan Evert:
An Analysis of Perplexity to Reveal the Effects of Alzheimer's Disease on Language. ITG Symposium on Speech Communication 2016: 1-5 - [c192]Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Florian Hönig, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Sabine Skodda, Jan Rusz, Elmar Nöth:
Towards an automatic monitoring of the neurological state of Parkinson's patients from speech. ICASSP 2016: 6490-6494 - [c191]Daria Hemmerling, Juan Rafael Orozco-Arroyave, Andrzej Skalski, Janusz Gajda, Elmar Nöth:
Automatic Detection of Parkinson's Disease Based on Modulated Vowels. INTERSPEECH 2016: 1190-1194 - [c190]Axel Horndasch, Anton Batliner, Caroline Kaufhold, Elmar Nöth:
Combining Semantic Word Classes and Sub-Word Unit Speech Recognition for Robust OOV Detection. INTERSPEECH 2016: 1335-1339 - [c189]Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Parkinson's Disease Progression Assessment from Speech Using GMM-UBM. INTERSPEECH 2016: 1933-1937 - [c188]Eduardo Coutinho, Florian Hönig, Yue Zhang, Simone Hantke, Anton Batliner, Elmar Nöth, Björn W. Schuller:
Assessing the Prosody of Non-Native Speakers of English: Measures and Feature Sets. LREC 2016 - [c187]Elkyn Alexander Belalcázar-Bolaños, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Tino Haderlein, Elmar Nöth:
Glottal Flow Patterns Analyses for Parkinson's Disease Detection: Acoustic and Nonlinear Approaches. TSD 2016: 400-407 - [c186]Tino Haderlein, Michael Döllinger, Anne Schützenberger, Elmar Nöth:
Influence of Reverberation on Automatic Evaluation of Intelligibility with Prosodic Features. TSD 2016: 461-469 - [c185]Axel Horndasch, Caroline Kaufhold, Elmar Nöth:
How to Add Word Classes to the Kaldi Speech Recognition Toolkit. TSD 2016: 486-494 - [p7]Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech. Recent Advances in Nonlinear Speech Processing 2016: 199-207 - 2015
- [j25]Tino Haderlein, Cornelia Schwemmle, Michael Döllinger, Václav Matousek, Martin Ptok, Elmar Nöth:
Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis. Comput. Math. Methods Medicine 2015: 316325:1-316325:11 (2015) - [j24]Björn W. Schuller, Stefan Steidl, Anton Batliner, Elmar Nöth, Alessandro Vinciarelli, Felix Burkhardt, Rob van Son, Felix Weninger, Florian Eyben, Tobias Bocklet, Gelareh Mohammadi, Benjamin Weiss:
A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge. Comput. Speech Lang. 29(1): 100-131 (2015) - [j23]Juan Rafael Orozco-Arroyave, Florian Hönig, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words. Expert Syst. J. Knowl. Eng. 32(6): 688-697 (2015) - [j22]Juan Rafael Orozco-Arroyave, Elkyn Alexander Belalcázar-Bolaños, Julián David Arias-Londoño, Jesús Francisco Vargas-Bonilla, Sabine Skodda, Jan Rusz, Khaled Daqrouq, Florian Hönig, Elmar Nöth:
Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases. IEEE J. Biomed. Health Informatics 19(6): 1820-1828 (2015) - [c184]Juan Camilo Vásquez-Correa, Nicanor García, Juan Rafael Orozco-Arroyave, Julián David Arias-Londoño, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Emotion recognition from speech under environmental noise conditions using wavelet decomposition. ICCST 2015: 247-252 - [c183]Juan Rafael Orozco-Arroyave, Florian Hönig, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Sabine Skodda, Jan Rusz, Elmar Nöth:
Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease. INTERSPEECH 2015: 95-99 - [c182]T. Villa-Cañas, Julián D. Arias-Londoño, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Low-frequency components analysis in running speech for the automatic detection of parkinson's disease. INTERSPEECH 2015: 100-104 - [c181]Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Julián D. Arias-Londoño, Elmar Nöth:
Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions. INTERSPEECH 2015: 105-109 - [c180]Björn W. Schuller, Stefan Steidl, Anton Batliner, Simone Hantke, Florian Hönig, Juan Rafael Orozco-Arroyave, Elmar Nöth, Yue Zhang, Felix Weninger:
The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition. INTERSPEECH 2015: 478-482 - [c179]Caroline Kaufhold, Vadim Gamidov, Andreas Kießling, Klaus Reinhard, Elmar Nöth:
PATSY - it's all about pronunciation! INTERSPEECH 2015: 1068-1069 - [c178]Sebastian Wankerl, Florian Hönig, Anton Batliner, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Visual comparison of speaker groups. INTERSPEECH 2015: 2613-2614 - [c177]Tomas Lustyk, Petr Bergl, Tino Haderlein, Elmar Nöth, Roman Cmejla:
Language-independent method for analysis of German stuttering recordings. INTERSPEECH 2015: 2947-2951 - [c176]Florian Hönig, Anton Batliner, Elmar Nöth:
How many speakers, how many texts - the automatic assessment of non-native prosody. SLaTE 2015: 1-6 - [c175]Florian Hönig, Sebastian Wankerl, Anton Batliner, Elmar Nöth:
Pinpointing the difference - visual comparison of non-native speaker groups. SLaTE 2015: 187 - [c174]Juan Rafael Orozco-Arroyave, Tino Haderlein, Elmar Nöth:
Automatic Detection of Parkinson's Disease in Reverberant Environments. TSD 2015: 80-87 - [c173]Juan Rafael Orozco-Arroyave, Nicanor García, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Automatic Detection of Parkinson's Disease from Compressed Speech Recordings. TSD 2015: 88-95 - [c172]Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, L. D. Avendaño, Elmar Nöth:
Time Dependent ARMA for Automatic Recognition of Fear-Type Emotions in Speech. TSD 2015: 96-104 - [c171]Tino Haderlein, Catherine Middag, Florian Hönig, Jean-Pierre Martens, Michael Döllinger, Anne Schützenberger, Elmar Nöth:
Language-Independent Age Estimation from Speech Using Phonological and Phonemic Features. TSD 2015: 165-173 - [c170]Fadi Sindran, Firas Mualla, Katharina Bobzin, Elmar Nöth:
ComputerAutomatic Robust Rule-Based Phonetization of Standard Arabic. TSD 2015: 442-451 - 2014
- [c169]Martin Hacker, Elmar Nöth:
Scoring and Re-Ranking of ASR Hypotheses Using Phoneme Error Models. ITG Symposium on Speech Communication 2014: 1-4 - [c168]Korbinian Riedhammer, Tobias Bocklet, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Semi-Automatic Calibration for Dereverberation by Spectral Subtraction for Continuous Speech Recognition. ITG Symposium on Speech Communication 2014: 1-4 - [c167]Florian Hönig, Anton Batliner, Tobias Bocklet, Georg Stemmer, Elmar Nöth, Sebastian Schnieder, Jarek Krajewski:
Are men more sleepy than women or does it only look like - Automatic analysis of sleepy speech. ICASSP 2014: 995-999 - [c166]Martin Hacker, Elmar Nöth:
A phonetic similarity based noisy channel approach to ASR hypothesis re-ranking and error detection. ICASSP 2014: 2317-2321 - [c165]Florian Hönig, Anton Batliner, Elmar Nöth, Sebastian Schnieder, Jarek Krajewski:
Automatic modelling of depressed speech: relevant features and relevance of gender. INTERSPEECH 2014: 1248-1252 - [c164]Juan Rafael Orozco-Arroyave, Florian Hönig, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Sabine Skodda, Jan Rusz, Elmar Nöth:
Automatic detection of parkinson's disease from words uttered in three different languages. INTERSPEECH 2014: 1573-1577 - [c163]Juan Rafael Orozco-Arroyave, Julián David Arias-Londoño, Jesús Francisco Vargas-Bonilla, María Claudia Gonzalez-Rátiva, Elmar Nöth:
New Spanish speech corpus database for the analysis of people suffering from Parkinson's disease. LREC 2014: 342-347 - [c162]Tobias Bocklet, Andreas K. Maier, Korbinian Riedhammer, Ulrich Eysholdt, Elmar Nöth:
Erlangen-CLP: A Large Annotated Corpus of Speech from Children with Cleft Lip and Palate. LREC 2014: 2671-2674 - [c161]Juan Rafael Orozco-Arroyave, Elkyn Alexander Belalcázar-Bolaños, Julián David Arias-Londoño, Jesús Francisco Vargas-Bonilla, Tino Haderlein, Elmar Nöth:
Phonation and Articulation Analysis of Spanish Vowels for Automatic Detection of Parkinson's Disease. TSD 2014: 374-381 - [c160]Tino Haderlein, Catherine Middag, Andreas K. Maier, Jean-Pierre Martens, Michael Döllinger, Elmar Nöth:
Visualization of Intelligibility Measured by Language-Independent Features. TSD 2014: 547-554 - 2013
- [c159]Tobias Bocklet, Korbinian Riedhammer, Ulrich Eysholdt, Elmar Nöth:
Automatic phoneme analysis in children with Cleft Lip and Palate. ICASSP 2013: 7572-7576 - [c158]Korbinian Riedhammer, Martin Gropp, Tobias Bocklet, Florian Hönig, Elmar Nöth, Stefan Steidl:
LMELECTURES: A Multimedia Corpus of Academic Spoken English. SLAM@INTERSPEECH 2013: 102-107 - [c157]Tobias Bocklet, Stefan Steidl, Elmar Nöth, Sabine Skodda:
Automatic evaluation of parkinson's speech - acoustic, prosodic and voice related cues. INTERSPEECH 2013: 1149-1153 - [c156]Juan Rafael Orozco-Arroyave, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Perceptual Analysis of Speech Signals from People with Parkinson's Disease. IWINAC (1) 2013: 201-211 - [c155]Elkyn Alexander Belalcázar-Bolaños, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Julián D. Arias-Londoño, César Germán Castellanos-Domínguez, Elmar Nöth:
New Cues in Low-Frequency of Speech for Automatic Detection of Parkinson's Disease. IWINAC (1) 2013: 283-292 - [c154]Juan Rafael Orozco-Arroyave, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Analysis of Speech from People with Parkinson's Disease through Nonlinear Dynamics. NOLISP 2013: 112-119 - 2012
- [c153]Korbinian Riedhammer, Matthias Ring, Elmar Nöth, Dirk Kolb:
A software kit for automatic voice descrambling. ICC 2012: 6764-6768 - [c152]Björn W. Schuller, Stefan Steidl, Anton Batliner, Elmar Nöth, Alessandro Vinciarelli, Felix Burkhardt, Rob van Son, Felix Weninger, Florian Eyben, Tobias Bocklet, Gelareh Mohammadi, Benjamin Weiss:
The INTERSPEECH 2012 Speaker Trait Challenge. INTERSPEECH 2012: 254-257 - [c151]Florian Hönig, Tobias Bocklet, Korbinian Riedhammer, Anton Batliner, Elmar Nöth:
The Automatic Assessment of Non-native Prosody: Combining Classical Prosodic Analysis with Acoustic Modelling. INTERSPEECH 2012: 823-826 - [c150]Juan Rafael Orozco-Arroyave, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Automatic detection of hypernasal speech signals using nonlinear and entropy measurements. INTERSPEECH 2012: 2029-2032 - [c149]Korbinian Riedhammer, Martin Gropp, Elmar Nöth:
The FAU Video Lecture Browser system. SLT 2012: 392-397 - [c148]Tino Haderlein, Cornelia Moers, Bernd Möbius, Elmar Nöth:
Automatic Rating of Hoarseness by Text-based Cepstral and Prosodic Evaluation. TSD 2012: 573-580 - [c147]