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ORCIDElmar Nöth
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- affiliation: University of Erlangen-Nuremberg, Germany
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2020 – today
- 2024
[j43]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: 101584 (2024)- [j42]Elina Lesyk, Tomás Arias-Vergara, Elmar Nöth, Andreas Maier, Juan Rafael Orozco-Arroyave, Paula Andrea Pérez-Toro:
Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings. Hum. Centric Intell. Syst. 4(4): 633-642 (2024) - [c293]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: 12021-12025 - [c292]Ilja Baumann, Dominik Wagner, Maria Schuster, Elmar Nöth, Tobias Bocklet:
Towards Interpretability of Automatic Phoneme Analysis in Cleft Lip and Palate Speech. ICASSP 2024: 12602-12606 - [c291]Alexander Barnhill, Jared R. Towers, Elmar Nöth, Andreas Maier, Christian Bergler:
Utilizing Deep Incomplete Classifiers to Implement Semantic Clustering for Killer Whale Photo Identification Data. ICPR (1) 2024: 346-361 - [c290]Diego Alexander Lopez-Santander, Cristian David Ríos-Urrego, Christian Bergler, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Robust Classification of Parkinson's Speech: an Approximation to a Scenario With Non-controlled Acoustic Conditions. TSD (2) 2024: 252-262 - [c289]Jeferson David Gallo-Aristizábal, Daniel Escobar-Grisales, Cristian David Ríos-Urrego, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Automatic Classification of Parkinson's Disease Using Wav2vec Embeddings at Phoneme, Syllable, and Word Levels. TSD (2) 2024: 313-323 - [e2]Elmar Nöth, Ales Horák, Petr Sojka:
Text, Speech, and Dialogue - 27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15048, Springer 2024, ISBN 978-3-031-70562-5 [contents] - [e1]Elmar Nöth, Ales Horák, Petr Sojka:
Text, Speech, and Dialogue - 27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15049, Springer 2024, ISBN 978-3-031-70565-6 [contents] - [i23]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 abs/2404.08064 (2024) - [i22]Dominik Wagner, Sebastian P. Bayerl, Ilja Baumann, Korbinian Riedhammer, Elmar Nöth, Tobias Bocklet:
Large Language Models for Dysfluency Detection in Stuttered Speech. CoRR abs/2406.11025 (2024) - [i21]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 abs/2407.03132 (2024) - 2023
- [j41]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: 101519 (2023) - [j40]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): 1533-1546 (2023) - [c288]Ilja Baumann, Dominik Wagner, Korbinian Riedhammer, Elmar Nöth, Tobias Bocklet:
Detection of Vowel Errors in Children's Speech using Synthetic Phonetic Transcripts. ASRU 2023: 1-8 - [c287]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: 1-5 - [c286]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: 1538-1542 - [c285]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: 1703-1707 - [c284]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: 1748-1752 - [c283]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: 2308-2312 - [c282]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: 2318-2322 - [c281]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: 2368-2372 - [c280]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: 4623-4627 - [c279]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: 4638-4642 - [c278]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: 4648-4652 - [c277]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: 5003-5007 - [c276]Jeferson David Gallo-Aristizábal, Daniel Escobar-Grisales, Cristian D. Ríos-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: 1-4 - [c275]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: 26-42 - [c274]Tobias Weise, Andreas K. Maier, Kubilay Can Demir, Paula Andrea Pérez-Toro, Tomás Arias-Vergara, Björn Heismann, Elmar Nöth, Maria Schuster, Seung Hee Yang:
Impact of Including Pathological Speech in Pre-training on Pathology Detection. TSD 2023: 141-153 - [c273]Cristian D. Ríos-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: 339-348 - [c272]Santiago Andres Moreno-Acevedo, Cristian D. Ríos-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: 349-359 - [i20]Soroosh Tayebi Arasteh, Cristian David Ríos-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 abs/2305.11284 (2023) - [i19]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 abs/2305.19255 (2023) - [i18]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 abs/2308.08306 (2023) - 2022
- [j39]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: 101321 (2022) - [j38]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: 101322 (2022) - [j37]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: 10-20 (2022) - [c271]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: 1046-1050 - [c270]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: 51-55 - [c269]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: 1959-1960 - [c268]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: 2413-2417 - [c267]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: 2483-2487 - [c266]Sebastian Peter Bayerl, Dominik Wagner, Elmar Nöth, Korbinian Riedhammer:
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0. INTERSPEECH 2022: 2868-2872 - [c265]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: 4815-4819 - [c264]Teena tom Dieck, Paula Andrea Pérez-Toro, Tomas Arias, Elmar Nöth, Philipp Klumpp:
Wav2vec behind the Scenes: How end2end Models learn Phonetics. INTERSPEECH 2022: 5130-5134 - [c263]Philipp Klumpp, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling. LREC 2022: 763-768 - [c262]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: 1780-1787 - [c261]Cristian David Ríos-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: 326-338 - [c260]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: 352-363 - [c259]Sebastian P. Bayerl, Dominik Wagner, Elmar Nöth, Tobias Bocklet, Korbinian Riedhammer:
The Influence of Dataset Partitioning on Dysfluency Detection Systems. TSD 2022: 423-436 - [c258]Daniel Escobar-Grisales, Cristian D. Ríos-Urrego, Jeferson David Gallo-Aristizábal, Diego Alexander Lopez-Santander, N. R. Calvo-Ariza, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Colombian Dialect Recognition from Call-Center Conversations Using Fusion Strategies. WEA 2022: 54-65 - [i17]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 abs/2201.05912 (2022) - [i16]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 abs/2203.05383 (2022) - [i15]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 abs/2204.01670 (2022) - [i14]Sebastian P. Bayerl, Dominik Wagner, Elmar Nöth, Korbinian Riedhammer:
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0. CoRR abs/2204.03417 (2022) - [i13]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 abs/2204.04016 (2022) - [i12]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 abs/2204.06450 (2022) - [i11]Sebastian P. Bayerl, Dominik Wagner, Elmar Nöth, Tobias Bocklet, Korbinian Riedhammer:
The Influence of Dataset Partitioning on Dysfluency Detection Systems. CoRR abs/2206.03400 (2022) - [i10]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 abs/2209.08379 (2022) - [i9]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 abs/2210.15336 (2022) - [i8]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 abs/2210.15941 (2022) - [i7]Sebastian P. Bayerl, Dominik Wagner, Florian Hönig, Tobias Bocklet, Elmar Nöth, Korbinian Riedhammer:
Dysfluencies Seldom Come Alone - Detection as a Multi-Label Problem. CoRR abs/2210.15982 (2022) - 2021
- [j36]Tomás 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): 423-431 (2021) - [j35]Juan Camilo Vásquez-Correa, Cristian David Ríos-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: 272-279 (2021) - [c257]Daniel Escobar-Grisales, Cristian D. Ríos-Urrego, Diego Alexander Lopez-Santander, Jeferson David Gallo-Aristizábal, Juan Camilo Vásquez-Correa, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Colombian Dialect Recognition Based on Information Extracted from Speech and Text Signals. ASRU 2021: 556-563 - [c256]Ralph Scheuerer, Tino Haderlein, Elmar Nöth, Tobias Bocklet:
Applying X-Vectors on Pathological Speech After Larynx Removal. ASRU 2021: 1079-1086 - [c255]Juan Camilo Vásquez-Correa, Tomás 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: 7298-7302 - [c254]Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Philipp Klumpp, M. Sierra-Castrillón, M. E. Roldán-López, David Aguillón, Liliana Hincapié-Henao, Carlos Andrés Tobón-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: 8338-8342 - [c253]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: 26-30 - [c252]Philipp Klumpp, Tobias Bocklet, Tomás 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: 441-445 - [c251]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: 1414-1418 - [c250]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: 2396-2400 - [c249]Paula Andrea Pérez-Toro, Sebastian P. Bayerl, Tomás 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: 3785-3789 - [c248]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: 434-443 - [c247]Cristian D. Ríos-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: 435-447 - [c246]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: 457-468 - [i6]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 abs/2112.11514 (2021) - 2020
- [j34]Tomás 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) - [j33]Juan Camilo Vásquez-Correa, Tomás 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) - [c245]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 - [c244]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 - [c243]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 - [c242]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 - [c241]Patricia Argüello-Vélez, Tomás 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 - [c240]Cristian David Ríos-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 - [c239]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. Ríos-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. Ríos-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
- [j32]Cristian D. Ríos-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) - [j31]Juan Camilo Vásquez-Correa, Tomás 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): 1618-1630 (2019) - [c238]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 - [c237]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 - [c236]Tomás 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 - [c235]Juan Camilo Vásquez-Correa, Cristian D. Ríos-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 - [c234]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Cristian D. Ríos-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 - [c233]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 - [c232]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 - [c231]Julian Fritsch, Sebastian Wankerl, Elmar Nöth:
Automatic Diagnosis of Alzheimer's Disease Using Neural Network Language Models. ICASSP 2019: 5841-5845 - [c230]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 - [c229]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 - [c228]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Philipp Klumpp, M. Strauss, Arne Küderle, Nils Roth, Sebastian P. Bayerl, Nicanor García-Ospina, Paula Andrea Pérez-Toro, L. Felipe Parra-Gallego, Cristian David Ríos-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: 964-965 - [c227]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 - [c226]Alice Rueda, Juan Camilo Vásquez-Correa, Cristian David Ríos-Urrego, Juan Rafael Orozco-Arroyave, Sridhar Krishnan, Elmar Nöth:
Feature Representation of Pathophysiology of Parkinsonian Dysarthria. INTERSPEECH 2019: 3048-3052 - [c225]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 - [c224]Tomás 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 - [c223]