Elmar Nöth

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 162

Top Venues

University of Erlangen-Nuremberg, Germany (PHD)

Education History

University of Erlangen-Nuremberg, Germany

PHD

Publications

Ilja Baumann, Dominik Wagner, Maria Schuster, Elmar Nöth, Tobias Bocklet
Towards Interpretability of Automatic Phoneme Analysis in Cleft Lip and Palate Speech. ICASSP (2024)
Tobias Weise, Philipp Klumpp, Kubilay Can Demir, Paula Andrea Pérez-Toro, Maria Schuster, Elmar Nöth, Björn Heismann, Andreas K. Maier, Seung Hee Yang
Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech. CoRR (2024)
Dominik Wagner, Sebastian P. Bayerl, Ilja Baumann, Korbinian Riedhammer, Elmar Nöth, Tobias Bocklet
Large Language Models for Dysfluency Detection in Stuttered Speech. CoRR (2024)
Paula Andrea Pérez-Toro, Judith Dineley, Agnieszka Kaczkowska, Pauline Conde, Yuezhou Zhang, Faith Matcham, Sara Siddi, Josep Maria Haro, Stuart Bruce, Til Wykes, Raquel Bailón, Srinivasan Vairavan, Richard J. B. Dobson, Andreas K. Maier, Elmar Nöth, Juan Rafael Orozco-Arroyave, Vaibhav A. Narayan, Nicholas Cummins
Longitudinal Modeling of Depression Shifts Using Speech and Language. ICASSP (2024)
Soroosh Tayebi Arasteh, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Tobias Weise, Kai Packhäuser, Maria Schuster, Elmar Nöth, Andreas Maier, Seung Hee Yang
The Impact of Speech Anonymization on Pathology and Its Limits. CoRR (2024)
Gabriel Figueiredo Miller, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth
Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions. Comput. Speech Lang. 85 (2024)
Sebastian P. Bayerl, Maurice Gerczuk, Anton Batliner, Christian Bergler, Shahin Amiriparian, Björn W. Schuller, Elmar Nöth, Korbinian Riedhammer
Classification of stuttering - The ComParE challenge and beyond. Comput. Speech Lang. 81 (2023)
Ilja Baumann, Dominik Wagner, Korbinian Riedhammer, Elmar Nöth, Tobias Bocklet
Detection of Vowel Errors in Children's Speech using Synthetic Phonetic Transcripts. ASRU (2023)
J. D. Gallo-Aristizabal, Daniel Escobar-Grisales, Cristian D. Rios-Urrego, Paula Andrea Pérez-Toro, Elmar Nöth, Andreas Maier, Juan Rafael Orozco-Arroyave
Assessment of Handwriting in Patients With Parkinson's Disease Using Non-Intrusive Tasks. ISBI (2023)
Cristian D. Rios-Urrego, Daniel Escobar-Grisales, Santiago Andres Moreno-Acevedo, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave
Automatic Pronunciation Assessment of Non-native English Based on Phonological Analysis. TSD (2023)
Tobias Weise, Andreas K. Maier, Kubilay Can Demir, Paula Andrea Pérez-Toro, Tomas Arias-Vergara, Björn Heismann, Elmar Nöth, Maria Schuster, Seung Hee Yang
Impact of Including Pathological Speech in Pre-training on Pathology Detection. TSD (2023)
Tomás Arias-Vergara, Elizabeth Londoño-Mora, Paula Andrea Pérez-Toro, Maria Schuster, Elmar Nöth, Juan Rafael Orozco-Arroyave, Andreas Maier
Measuring Phonological Precision in Children with Cleft Lip and Palate. INTERSPEECH (2023)
Sebastian P. Bayerl, Dominik Wagner, Ilja Baumann, Florian Hönig, Tobias Bocklet, Elmar Nöth, Korbinian Riedhammer
A Stutter Seldom Comes Alone - Cross-Corpus Stuttering Detection as a Multi-label Problem. CoRR (2023)
Soroosh Tayebi Arasteh, Cristian David Rios-Urrego, Elmar Nöth, Andreas K. Maier, Seung Hee Yang, Jan Rusz, Juan Rafael Orozco-Arroyave
Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages. CoRR (2023)
Daniel Escobar-Grisales, Tomás Arias-Vergara, Cristian David Ríos-Urrego, Elmar Nöth, Adolfo M. García, Juan Rafael Orozco-Arroyave
An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients. INTERSPEECH (2023)
Cristian David Ríos-Urrego, Jan Rusz, Elmar Nöth, Juan Rafael Orozco-Arroyave
Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors. INTERSPEECH (2023)
Soroosh Tayebi Arasteh, Cristian David Ríos-Urrego, Elmar Nöth, Andreas Maier, Seung Hee Yang, Jan Rusz, Juan Rafael Orozco-Arroyave
Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages. INTERSPEECH (2023)
Ilja Baumann, Dominik Wagner, Franziska Braun, Sebastian P. Bayerl, Elmar Nöth, Korbinian Riedhammer, Tobias Bocklet
Influence of Utterance and Speaker Characteristics on the Classification of Children with Cleft Lip and Palate. INTERSPEECH (2023)
Tobias Weise, Paula Andrea Pérez-Toro, Andrea Deitermann, Bettina Hoffmann, Kubilay Can Demir, Theresa Straetz, Elmar Nöth, Andreas K. Maier, Thomas Kallert, Seung Hee Yang
Multi-modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and Video. ML4MHD (2023)
Franziska Braun, Sebastian P. Bayerl, Paula Andrea Pérez-Toro, Florian Hönig, Hartmut Lehfeld, Thomas Hillemacher, Elmar Nöth, Tobias Bocklet, Korbinian Riedhammer
Classifying Dementia in the Presence of Depression: A Cross-Corpus Study. CoRR (2023)
Santiago Andres Moreno-Acevedo, Cristian D. Rios-Urrego, Juan Camilo Vásquez-Correa, Jan Rusz, Elmar Nöth, Juan Rafael Orozco-Arroyave
Language Generalization Using Active Learning in the Context of Parkinson's Disease Classification. TSD (2023)
Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tobias Bocklet, Elmar Nöth, Juan Rafael Orozco-Arroyave
User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care. IEEE Trans. Affect. Comput. 14 (2) (2023)
Sebastian P. Bayerl, Dominik Wagner, Ilja Baumann, Florian Hönig, Tobias Bocklet, Elmar Nöth, Korbinian Riedhammer
A Stutter Seldom Comes Alone - Cross-Corpus Stuttering Detection as a Multi-label Problem. INTERSPEECH (2023)
Franziska Braun, Sebastian P. Bayerl, Paula Andrea Pérez-Toro, Florian Hönig, Hartmut Lehfeld, Thomas Hillemacher, Elmar Nöth, Tobias Bocklet, Korbinian Riedhammer
Classifying Dementia in the Presence of Depression: A Cross-Corpus Study. INTERSPEECH (2023)
Hiuching Hung, Paula Andrea Pérez-Toro, Tomás Arias-Vergara, Andreas Maier, Elmar Nöth
Speaking Clearly, Understanding Better: Predicting the L2 Narrative Comprehension of Chinese Bilingual Kindergarten Children Based on Speech Intelligibility Using a Machine Learning Approach. INTERSPEECH (2023)
Dominik Wagner, Ilja Baumann, Franziska Braun, Sebastian P. Bayerl, Elmar Nöth, Korbinian Riedhammer, Tobias Bocklet
Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data? INTERSPEECH (2023)
Paula Andrea Pérez-Toro, Dalia Rodríguez-Salas, Tomás Arias-Vergara, Sebastian P. Bayerl, Philipp Klumpp, Korbinian Riedhammer, Maria Schuster, Elmar Nöth, Andreas K. Maier, Juan Rafael Orozco-Arroyave
Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer's Disease Using Forestnets. ICASSP (2023)
Paula Andrea Pérez-Toro, Tomás Arias-Vergara, Franziska Braun, Florian Hönig, Carlos Andrés Tobón-Quintero, David Aguillón, Francisco Lopera, Liliana Hincapié-Henao, Maria Schuster, Korbinian Riedhammer, Andreas Maier, Elmar Nöth, Juan Rafael Orozco-Arroyave
Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features. INTERSPEECH (2023)
Tobias Weise, Philipp Klumpp, Andreas K. Maier, Elmar Nöth, Björn Heismann, Maria Schuster, Seung Hee Yang
Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment. INTERSPEECH (2022)
Philipp Klumpp, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Juan Rafael Orozco-Arroyave, Anton Batliner, Elmar Nöth
The phonetic footprint of Parkinson's disease. Comput. Speech Lang. 72 (2022)
Ilja Baumann, Dominik Wagner, Franziska Braun, Sebastian P. Bayerl, Elmar Nöth, Korbinian Riedhammer, Tobias Bocklet
The Importance of Speech Stimuli for Pathologic Speech Classification. CoRR (2022)
Dominik Wagner, Ilja Baumann, Franziska Braun, Sebastian P. Bayerl, Elmar Nöth, Korbinian Riedhammer, Tobias Bocklet
Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data? CoRR (2022)
Sebastian Peter Bayerl, Dominik Wagner, Elmar Nöth, Korbinian Riedhammer
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0. INTERSPEECH (2022)
Tobias Weise, Philipp Klumpp, Andreas K. Maier, Elmar Nöth, Björn Heismann, Maria Schuster, Seung Hee Yang
Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment. CoRR (2022)
Cristian David Rios-Urrego, Santiago Andres Moreno-Acevedo, Elmar Nöth, Juan Rafael Orozco-Arroyave
End-to-End Parkinson's Disease Detection Using a Deep Convolutional Recurrent Network. TSD (2022)
P. Schäfer, Paula Andrea Pérez-Toro, Philipp Klumpp, Juan Rafael Orozco-Arroyave, Elmar Nöth, Andreas K. Maier, A. Abad, Maria Schuster, Tomás Arias-Vergara
CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss. INTERSPEECH (2022)
Paula Andrea Pérez-Toro, Philipp Klumpp, Abner Hernandez, Tomas Arias, Patricia Lillo, Andrea Slachevsky, Adolfo Martín García, Maria Schuster, Andreas K. Maier, Elmar Nöth, Juan Rafael Orozco-Arroyave
Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings. INTERSPEECH (2022)
Sebastian P. Bayerl, Alexander Wolff von Gudenberg, Florian Hönig, Elmar Nöth, Korbinian Riedhammer
KSoF: The Kassel State of Fluency Dataset - A Therapy Centered Dataset of Stuttering. LREC (2022)
Christian Bergler, Manuel Schmitt, Andreas K. Maier, Rachael Xi Cheng, Volker Barth, Elmar Nöth
ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning. ICASSP (2022)
Sebastian P. Bayerl, Dominik Wagner, Elmar Nöth, Korbinian Riedhammer
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0. CoRR (2022)
Daniel Escobar-Grisales, Cristian D. Rios-Urrego, J. D. Gallo-Aristizabal, D. A. López-Santander, N. R. Calvo-Ariza, Elmar Nöth, Juan Rafael Orozco-Arroyave
Colombian Dialect Recognition from Call-Center Conversations Using Fusion Strategies. WEA (2022)
Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave, Andreas K. Maier, Seung Hee Yang
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. INTERSPEECH (2022)
Philipp Klumpp, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling. CoRR (2022)
Paula Andrea Pérez-Toro, Tomás Arias-Vergara, Philipp Klumpp, Juan Camilo Vásquez-Correa, Maria Schuster, Elmar Nöth, Juan Rafael Orozco-Arroyave
Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing. Speech Commun. 145 (2022)
Paula Andrea Pérez-Toro, Philipp Klumpp, Juan Camilo Vásquez-Correa, Maria Schuster, Elmar Nöth, Juan Rafael Orozco-Arroyave, Tomás Arias-Vergara
50 Shades of Gray: Effect of the Color Scale for the Assessment of Speech Disorders. TSD (2022)
Philipp Klumpp, Tomas Arias-Vergara, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling. LREC (2022)
Christian Bergler, Alexander Barnhill, Dominik Perrin, Manuel Schmitt, Andreas K. Maier, Elmar Nöth
ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning. INTERSPEECH (2022)
Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, Elmar Nöth, Andreas K. Maier, Seung Hee Yang
Is Speech Pathology a Biomarker in Automatic Speaker Verification? CoRR (2022)
Gabriel Figueiredo Miller, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth
Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions. CoRR (2022)
Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave, Andreas K. Maier, Seung Hee Yang
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. CoRR (2022)
Teena tom Dieck, Paula Andrea Pérez-Toro, Tomas Arias, Elmar Nöth, Philipp Klumpp
Wav2vec behind the Scenes: How end2end Models learn Phonetics. INTERSPEECH (2022)
Alice Rueda, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth, Sridhar Krishnan
Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia. Comput. Speech Lang. 72 (2022)
Sebastian P. Bayerl, Dominik Wagner, Elmar Nöth, Tobias Bocklet, Korbinian Riedhammer
The Influence of Dataset Partitioning on Dysfluency Detection Systems. TSD (2022)
Sebastian P. Bayerl, Alexander Wolff von Gudenberg, Florian Hönig, Elmar Nöth, Korbinian Riedhammer
KSoF: The Kassel State of Fluency Dataset - A Therapy Centered Dataset of Stuttering. CoRR (2022)
Sebastian P. Bayerl, Dominik Wagner, Elmar Nöth, Tobias Bocklet, Korbinian Riedhammer
The Influence of Dataset Partitioning on Dysfluency Detection Systems. CoRR (2022)
Sebastian P. Bayerl, Dominik Wagner, Florian Hönig, Tobias Bocklet, Elmar Nöth, Korbinian Riedhammer
Dysfluencies Seldom Come Alone - Detection as a Multi-Label Problem. CoRR (2022)
Ralph Scheuerer, Tino Haderlein, Elmar Nöth, Tobias Bocklet
Applying X-Vectors on Pathological Speech After Larynx Removal. ASRU (2021)
Tomas Arias-Vergara, Philipp Klumpp, Juan Camilo Vásquez-Correa, Elmar Nöth, Juan Rafael Orozco-Arroyave, Maria Schuster
Multi-channel spectrograms for speech processing applications using deep learning methods. Pattern Anal. Appl. 24 (2) (2021)
Carlos A. Ferrer-Riesgo, Reinier Rodríguez Guillén, Elmar Nöth
Evaluation of GOI Detectors in EGG Signals Assuming Different Models for the Pulse Length Variability. IWAIPR (2021)
Cristian D. Rios-Urrego, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth
Is There Any Additional Information in a Neural Network Trained for Pathological Speech Classification? TDS (2021)
Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Philipp Klumpp, Maria Schuster, Elmar Nöth, Juan Rafael Orozco-Arroyave
Emotional State Modeling for the Assessment of Depression in Parkinson's Disease. TDS (2021)
Philipp Klumpp, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Juan Rafael Orozco-Arroyave, Anton Batliner, Elmar Nöth
The Phonetic Footprint of Parkinson's Disease. CoRR (2021)
Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Philipp Klumpp, Paula Andrea Pérez-Toro, Juan Rafael Orozco-Arroyave, Elmar Nöth
End-2-End Modeling of Speech and Gait from Patients with Parkinson's Disease: Comparison Between High Quality Vs. Smartphone Data. ICASSP (2021)
Juan Camilo Vásquez-Correa, Julian Fritsch, Juan Rafael Orozco-Arroyave, Elmar Nöth, Mathew Magimai-Doss
On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease. Interspeech (2021)
Daniel Escobar-Grisales, Cristian D. Rios-Urrego, D. A. López-Santander, J. D. Gallo-Aristizabal, Juan Camilo Vásquez-Correa, Elmar Nöth, Juan Rafael Orozco-Arroyave
Colombian Dialect Recognition Based on Information Extracted from Speech and Text Signals. ASRU (2021)
Philipp Klumpp, Tobias Bocklet, Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Sebastian P. Bayerl, Juan Rafael Orozco-Arroyave, Elmar Nöth
The Phonetic Footprint of Covid-19? Interspeech (2021)
Christian Bergler, Manuel Schmitt, Andreas K. Maier, Helena Symonds, Paul Spong, Steven R. Ness, George Tzanetakis, Elmar Nöth
ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification. Interspeech (2021)
Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Philipp Klumpp, M. Sierra-Castrillón, M. E. Roldán-López, D. Aguillón, L. Hincapié-Henao, Carlos Andrés Tóbon-Quintero, Tobias Bocklet, Maria Schuster, Juan Rafael Orozco-Arroyave, Elmar Nöth
Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer's Disease. ICASSP (2021)
Paula Andrea Pérez-Toro, Sebastian P. Bayerl, Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Philipp Klumpp, Maria Schuster, Elmar Nöth, Juan Rafael Orozco-Arroyave, Korbinian Riedhammer
Influence of the Interviewer on the Automatic Assessment of Alzheimer's Disease in the Context of the ADReSSo Challenge. Interspeech (2021)
Juan Camilo Vásquez-Correa, Cristian David Rios-Urrego, Tomás Arias-Vergara, Maria Schuster, Jan Rusz, Elmar Nöth, Juan Rafael Orozco-Arroyave
Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages. Pattern Recognit. Lett. 150 (2021)
Carlos A. Ferrer, Efren Aragón, María E. Hdez-Díaz, Marc S. De Bodt, Roman Cmejla, Marina Englert, Mara Behlau, Elmar Nöth
Modeling Dysphonia Severity as a Function of Roughness and Breathiness Ratings in the GRBAS Scale. Interspeech (2021)
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)
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)
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)
Christian Bergler, Manuel Schmitt, Andreas Maier, Simeon Smeele, Volker Barth, Elmar Nöth
ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication. INTERSPEECH (2020)
Elif Eyigöz, Mary Pietrowicz, Carla Agurto, Juan Rafael Orozco-Arroyave, Adolfo M. García, Sabine Skodda, Jan Rusz, Elmar Nöth, Guillermo A. Cecchi
Dependency Analysis of Spoken Language for Assessment of Neurological Disorders. RaPID@LREC (2020)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
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)
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 (2020)
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)
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)
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)
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)
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)
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)
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, Daniel Escobar-Grisales, Juan Rafael Orozco-Arroyave, Björn M. Eskofier, Elmar Nöth
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease. INTERSPEECH (2019)
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)
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 (2019)
Philipp Klumpp, Juan Camilo Vásquez-Correa, Tino Haderlein, Elmar Nöth
Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data. INTERSPEECH (2019)
Julian Fritsch, Sebastian Wankerl, Elmar Nöth
Automatic Diagnosis of Alzheimer's Disease Using Neural Network Language Models. ICASSP (2019)
Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Björn M. Eskofier, Jochen Klucken, Elmar Nöth
Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach. IEEE J. Biomed. Health Informatics 23 (4) (2019)
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)
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)
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)
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)
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)
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)

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Elmar Nöth