Elmar Nöth

Elmar Nöth, Juan R. Orozco-Arroyave, Marek Wodzinski, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic detection of Parkinson's disease in running speech spoken in three different languages.

J R Orozco-Arroyave, F Hönig, J D Arias-Londoño, 2016, The Journal of the Acoustical Society of America.

Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2015, Expert Syst. J. Knowl. Eng..

A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge

Elmar Nöth, Björn W. Schuller, Florian Eyben, 2015, Comput. Speech Lang..

Automated Cross-language Intelligibility Analysis of Parkinson’s Disease Patients Using Speech Recognition Technologies

Elmar Nöth, Juan Camilo Vásquez-Correa, Manfred Stede, 2019, ACL.

Integrated dialog act segmentation and classification using prosodic features and language models

Elmar Nöth, Heinrich Niemann, Volker Warnke, 1997, EUROSPEECH.

Suprasegmental Modelling

H. Niemann, E. Nöth, A. Kießling, 1997 .

Prosodic models, automatic speech understanding, and speech synthesis: towards the common ground

Elmar Nöth, Anton Batliner, Antje Schweitzer, 2001, INTERSPEECH.

P rosodic models and speech synthesis: towards the common ground *

Elmar Nöth, Anton Batliner, Antje Schweitzer, 2000 .

Multilingual Weighted Codebooks for Non-native Speech Recognition

Elmar Nöth, Martin Raab, Rainer Gruhn, 2008, TSD.

How to find trouble in communication

Elmar Nöth, Anton Batliner, Richard Huber, 2003, Speech Commun..

Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach

T. Arias-Vergara, M. Schuster, E. Nöth, 2021, Movement disorders : official journal of the Movement Disorder Society.

ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation

Andreas K. Maier, Christian Bergler, Volker Barth, 2023, Scientific Reports.

ANIMAL-SPOT enables animal-independent signal detection and classification using deep learning

Ammie K. Kalan, J. Tougaard, E. Nöth, 2022, Scientific reports.

ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning

Elmar Nöth, Andreas Maier, Michael Weber, 2019, Scientific Reports.

FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales

E. Nöth, A. Maier, Christian Bergler, 2021, Scientific Reports.

ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification

Elmar Nöth, George Tzanetakis, Helena Symonds, 2021, Interspeech.

ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication

Elmar Nöth, Manuel Schmitt, Andreas Maier, 2020, INTERSPEECH.

Deep Learning for Orca Call Type Identification - A Fully Unsupervised Approach

Elmar Nöth, Andreas Maier, Manuel Schmitt, 2019, INTERSPEECH.

Deep Representation Learning for Orca Call Type Classification

Elmar Nöth, Andreas K. Maier, Manuel Schmitt, 2019, TSD.

AUTOMATIC EVALUATION OF DYSARTHRIC SPEECH AND TELEMEDICAL USE IN THE THERAPY

M. Schuster, A. Gebhard, T. Bocklet, 2012 .

Towards the Automatic Evaluation of Dysarthric Speech

F. Rosanowski, A. Maier, W. Schupp, 2009 .

QMOS - A Robust Visualization Method for Speaker Dependencies with Different Microphones

Elmar Nöth, Tino Haderlein, Maria Schuster, 2009 .

Apkinson: the smartphone application for telemonitoring Parkinson's patients through speech, gait and hands movement.

J. C. Vásquez-Correa, J. R. Orozco-Arroyave, L. F. Parra-Gallego, 2020, Neurodegenerative disease management.

Improvement of a speech recognizer for standardized medical assessment of children's speech by integration of prior knowledge

Elmar Nöth, Andreas K. Maier, Tobias Bocklet, 2010, 2010 IEEE Spoken Language Technology Workshop.

Multi-channel spectrograms for speech processing applications using deep learning methods

Elmar Nöth, Juan Camilo Vásquez-Correa, J. C. Vásquez-Correa, 2020, Pattern Analysis and Applications.

Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2015, IEEE Journal of Biomedical and Health Informatics.

Dialog act classification with the help of prosody

Elmar Nöth, Heinrich Niemann, Ernst Günter Schukat-Talamazzini, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

From Emotion to Interaction: Lessons from Real Human-Machine-Dialogues

Elmar Nöth, Christian Hacker, Anton Batliner, 2004, ADS.

“You Stupid Tin Box” - Children Interacting with the AIBO Robot: A Cross-linguistic Emotional Speech Corpus

Elmar Nöth, Martin J. Russell, Anton Batliner, 2004, LREC.

We are not amused - but how do you know? user states in a multi-modal dialogue system

Elmar Nöth, Anton Batliner, Viktor Zeißler, 2003, INTERSPEECH.

Prosodic Classification of Offtalk: First Experiments

Elmar Nöth, Heinrich Niemann, Anton Batliner, 2002, TSD.

Using speech and gesture to explore user states in multimodal dialogue systems

Elmar Nöth, Heinrich Niemann, Anton Batliner, 2003, AVSP.

Time Dependent ARMA for Automatic Recognition of Fear-Type Emotions in Speech

Elmar Nöth, J. C. Vásquez-Correa, J. R. Orozco-Arroyave, 2015, TSD.

Non-native speech databases

Elmar Nöth, Martin Raab, Rainer Gruhn, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Adaptation in the pronunciation space for non-native speech recognition

Elmar Nöth, Christian Hacker, Stefan Steidl, 2004, INTERSPEECH.

Automatic boost articulation therapy in adults with dysarthria: Acceptability, usability and user interaction

J. C. Vásquez-Correa, L. Van den Steen, E. Nöth, 2021, International journal of language & communication disorders.

The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity

Elmar Nöth, Björn Schuller, Sebastian Schnieder, 2019, INTERSPEECH.

Automatic assessment of non-native prosody

A. Batliner, K. Weilhammer, F. Hönig, 2010, SLaTE.

Islands of failure: employing word accent information for pronunciation quality assessment of English L2 learners

Elmar Nöth, Florian Hönig, Anton Batliner, 2009, SLaTE.

How to Add Word Classes to the Kaldi Speech Recognition Toolkit

Elmar Nöth, Axel Horndasch, Caroline Kaufhold, 2016, TSD.

Combining Semantic Word Classes and Sub-Word Unit Speech Recognition for Robust OOV Detection

Elmar Nöth, Anton Batliner, Axel Horndasch, 2016, INTERSPEECH.

An automatic version of a reading disorder test

Elmar Nöth, Andreas K. Maier, Florian Hönig, 2011, TSLP.

Automatic detection of articulation disorders in children with cleft lip and palate.

Elmar Nöth, Emeka Nkenke, Maria Schuster, 2009, The Journal of the Acoustical Society of America.

Towards the Automatic Classification of Reading Disorders in Continuous Text Passages

Elmar Nöth, Andreas K. Maier, Florian Hönig, 2009, TSD.

PEAKS - A system for the automatic evaluation of voice and speech disorders

Elmar Nöth, Andreas K. Maier, Tino Haderlein, 2009, Speech Commun..

Application of Automatic Speech Recognition to Quantitative Assessment of Tracheoesophageal Speech with Different Signal Quality

M. Schuster, F. Rosanowski, U. Eysholdt, 2008, Folia Phoniatrica et Logopaedica.

Can you understand him? Let's look at his word accuracy-automatic evaluation of tracheoesophageal speech

Elmar Nöth, Tino Haderlein, Frank Rosanowski, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Context-dependent output densities for hidden Markov models in speech recognition

Elmar Nöth, Heinrich Niemann, Christian Hacker, 2003, INTERSPEECH.

A phone recognizer helps to recognize words better

Elmar Nöth, Heinrich Niemann, Christian Hacker, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Towards a Dynamic Adjustment of the Language Weight

Elmar Nöth, Heinrich Niemann, Georg Stemmer, 2001, TSD.

MOBSY: Integration of vision and dialogue in service robots

G. Stemmer, B. Heigl, D. Paulus, 2001, Machine Vision and Applications.

On the Automatic Classification of Reading Disorders

Elmar Nöth, Andreas K. Maier, Florian Hönig, 2009, PRIS.

Automatic scoring of the intelligibility in patients with cancer of the oral cavity

Elmar Nöth, Andreas K. Maier, Emeka Nkenke, 2007, INTERSPEECH.

Automatic Evaluation of Tracheoesophageal Telephone Speech

Elmar Nöth, Tino Haderlein, Frank Rosanowski, 2006 .

Reliable Detection of Important Word Boundaries Using Prosodic Features

Elmar Nöth, Georg Stemmer, Caroline Kaufhold, 2011, TSD.

Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors

E. Nöth, J. Rusz, J. Orozco-Arroyave, 2023, INTERSPEECH.

Vowel- and text-based cepstral analysis of chronic hoarseness.

F. Rosanowski, U. Eysholdt, T. Haderlein, 2012, Journal of voice : official journal of the Voice Foundation.

Automatic intelligibility assessment of pathologic speech over the telephone

F. Rosanowski, U. Eysholdt, A. Batliner, 2011, Logopedics, phoniatrics, vocology.

Automatic Quantification of Speech Intelligibility of Adults with Oral Squamous Cell Carcinoma

E. Nöth, E. Nkenke, U. Eysholdt, 2008, Folia Phoniatrica et Logopaedica.

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages pdf

Elmar Nöth, Maria Schuster, Juan R. Orozco-Arroyave, 2019, CIARP.

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features

Elmar Nöth, Milos Cernak, Frank Rudzicz, 2017, Comput. Speech Lang..

New Spanish speech corpus database for the analysis of people suffering from Parkinson’s disease

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2014, LREC.

Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages

Elmar Nöth, Maria Schuster, Juan Camilo Vásquez-Correa, 2021, Pattern Recognit. Lett..

Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease.

J. C. Vásquez-Correa, Juan Camilo Vásquez-Correa, E. Nöth, 2018, Journal of communication disorders.

Phonological i-Vectors to Detect Parkinson's Disease

Elmar Nöth, Milos Cernak, Juan R. Orozco-Arroyave, 2018, TSD.

Language Independent Assessment of Motor Impairments of Patients with Parkinson's Disease Using i-Vectors

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2017, TSD.

Speaker Model to Monitor the Neurological State and the Dysarthria Level of Patients with Parkinson's Disease

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2017, TSD.

Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson's Disease

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2017, INTERSPEECH.

NeuroSpeech: An open-source software for Parkinson's speech analysis

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Milos Cernak, 2017, Digit. Signal Process..

Effect of acoustic conditions on algorithms to detect Parkinson's disease from speech

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic Detection of Parkinson's Disease Based on Modulated Vowels

A. Skalski, Janusz Gajda, D. Hemmerling, 2016, INTERSPEECH.

Towards an automatic monitoring of the neurological state of Parkinson's patients from speech

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic Detection of Parkinson's Disease in Reverberant Environments

Elmar Nöth, Tino Haderlein, Juan R. Orozco-Arroyave, 2015, TSD.

Phonation and Articulation Analysis of Spanish Vowels for Automatic Detection of Parkinson's Disease

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Tino Haderlein, 2014, TSD.

New computer aided device for real time analysis of speech of people with Parkinson’s disease

Elmar Nöth, Julián D. Arias-Londoño, J. D. Arias-Londoño, 2014, Revista Facultad de Ingeniería Universidad de Antioquia.

Perceptual Analysis of Speech Signals from People with Parkinson's Disease

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2013, IWINAC.

Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2015, INTERSPEECH.

Automatic detection of parkinson's disease from words uttered in three different languages

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2014, INTERSPEECH.

Assessing the Dysarthria Level of Parkinson's Disease Patients with GMM-UBM Supervectors Using Phonological Posteriors and Diadochokinetic Exercises

Elmar Nöth, Juan Camilo Vásquez-Correa, J. C. Vásquez-Correa, 2020, TDS.

Classifying Dementia in the Presence of Depression: A Cross-Corpus Study

T. Bocklet, H. Lehfeld, K. Riedhammer, 2023, INTERSPEECH.

A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2018, WEA.

Detection of different voice diseases based on the nonlinear characterization of speech signals

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2017, Expert Syst. Appl..

Glottal Flow Patterns Analyses for Parkinson's Disease Detection: Acoustic and Nonlinear Approaches

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Tino Haderlein, 2016, TSD.

Automatic detection of hypernasal speech signals using nonlinear and entropy measurements

Jesús Francisco Vargas-Bonilla, Elmar Nöth, Juan R. Orozco-Arroyave, 2012, INTERSPEECH.

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2019, CIARP.

Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices

Elmar Nöth, Juan R. Orozco-Arroyave, Juan Camilo Vásquez-Correa, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sprachverständlichkeit von Kindern mit bilateralen und unilateralen Lippen-Kiefer-Gaumen-Spalten

M. Schuster, A. Schützenberger, U. Eysholdt, 2009, Laryngo- rhino- otologie.

Automatic quantification of speech intelligibility in patients after treatment for oral squamous cell carcinoma.

Elmar Nöth, Emeka Nkenke, Maria Schuster, 2011, Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons.

Hypernasality in Speech of Children with Cleft Lip and Palate: Automatic Evaluation

Elmar Nöth, Tino Haderlein, Maria Schuster, 2008 .

Automatic intelligibility assessment of speakers after laryngeal cancer by means of acoustic modeling.

U. Eysholdt, T. Bocklet, K. Riedhammer, 2012, Journal of voice : official journal of the Voice Foundation.