Elmar Nöth

About Elmar Nöth

Elmar Nöth, With an exceptional h-index of 55 and a recent h-index of 36 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of speech.

His recent articles reflect a diverse array of research interests and contributions to the field:

Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions

Protection device and method for monitoring an electrical energy supply grid

Towards Interpretability of Automatic Phoneme Analysis in Cleft Lip and Palate Speech

Longitudinal Modeling of Depression Shifts Using Speech and Language

The Impact of Speech Anonymization on Pathology and Its Limits

Künstliche Intelligenz für die Analyse pathologischer Sprache

Oral-diadochokinesis rates for Spanish, German and Czech: reference values for normotypical adults

Transferring quantified emotion knowledge for the detection of depression in Alzheimer’s disease using forestnets

Elmar Nöth Information

University

Position

___

Citations(all)

12404

Citations(since 2020)

4852

Cited By

9214

hIndex(all)

55

hIndex(since 2020)

36

i10Index(all)

264

i10Index(since 2020)

122

Email

University Profile Page

Friedrich-Alexander-Universität Erlangen-Nürnberg

Google Scholar

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Elmar Nöth Skills & Research Interests

speech

Top articles of Elmar Nöth

Title

Journal

Author(s)

Publication Date

Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions

Computer Speech & Language

Gabriel Figueiredo Miller

Juan Camilo Vásquez-Correa

Juan Rafael Orozco-Arroyave

Elmar Nöth

2024/4/1

Protection device and method for monitoring an electrical energy supply grid

2024/2/1

Towards Interpretability of Automatic Phoneme Analysis in Cleft Lip and Palate Speech

Ilja Baumann

Dominik Wagner

Maria Schuster

Elmar Nöth

Tobias Bocklet

2024/4/14

Longitudinal Modeling of Depression Shifts Using Speech and Language

Paula Andrea Pérez-Toro

Judith Dineley

Agnieszka Kaczkowska

Pauline Conde

Yuezhou Zhang

...

2024/4/14

The Impact of Speech Anonymization on Pathology and Its Limits

arXiv preprint arXiv:2404.08064

Soroosh Tayebi Arasteh

Tomas Arias-Vergara

Paula Andrea Perez-Toro

Tobias Weise

Kai Packhaeuser

...

2024/4/11

Künstliche Intelligenz für die Analyse pathologischer Sprache

Sprache· Stimme· Gehör

Tobias Bocklet

Elmar Nöth

Korbinian Riedhammer

2023/9

Oral-diadochokinesis rates for Spanish, German and Czech: reference values for normotypical adults

Revista de Investigación en Logopedia

Maryluz Camargo Mendoza

Elmar Nöth

Jiri Mekyska

Juan Rafael Orozco Arroyave

2023

Transferring quantified emotion knowledge for the detection of depression in Alzheimer’s disease using forestnets

PA Pérez-Toro

D Rodríguez-Salas

T Arias-Vergara

SP Bayerl

P Klumpp

...

2023/6/4

Language Generalization Using Active Learning in the Context of Parkinson’s Disease Classification

SA Moreno-Acevedo

CD Rios-Urrego

JC Vásquez-Correa

J Rusz

E Nöth

...

2023/8/23

An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson’s Disease Patients

Proceedings of the INTERSPEECH

Daniel Escobar-Grisales

Tomás Arias-Vergara

Cristian David Rios-Urrego

Elmar Nöth

AM García

...

2023

Classification of stuttering–The ComParE challenge and beyond

Computer Speech & Language

Sebastian P Bayerl

Maurice Gerczuk

Anton Batliner

Christian Bergler

Shahin Amiriparian

...

2023/6/1

Impact of Including Pathological Speech in Pre-training on Pathology Detection

Tobias Weise

Andreas Maier

Kubilay Can Demir

Paula Andrea Pérez-Toro

Tomas Arias-Vergara

...

2023/8/23

Detection of Vowel Errors in Children’s Speech using Synthetic Phonetic Transcripts

Ilja Baumann

Dominik Wagner

Korbinian Riedhammer

Elmar Nöth

Tobias Bocklet

2023/12/16

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

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2023

CD Rios-Urrego

J Rusz

E Nöth

JR Orozco-Arroyave

2023

A Stutter Seldom Comes Alone--Cross-Corpus Stuttering Detection as a Multi-label Problem

arXiv preprint arXiv:2305.19255

Sebastian P Bayerl

Dominik Wagner

Ilja Baumann

Florian Hönig

Tobias Bocklet

...

2023/5/30

Automatic pronunciation assessment of non-native English based on phonological analysis

CD Rios-Urrego

D Escobar-Grisales

SA Moreno-Acevedo

PA Perez-Toro

E Nöth

...

2023/8/23

Multi-modal Biomarker Extraction Framework for Therapy Monitoring of Social Anxiety and Depression Using Audio and Video

Machine Learning for Multimodal Healthcare Data: First International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings

Bettina Hoffmann

Kubilay can Demir

Theresa Straetz

Elmar Nöth

Andreas Maier

...

2023/11/25

EXPLORING THE USE OF PHONOLOGICAL FEATURES FOR PARKINSON’S DISEASE DETECTION

EXPLORING THE USE OF PHONOLOGICAL FEATURES FOR PARKINSON’S DISEASE DETECTION

Nina Hosseini Kivanani

Juan Camilo Vásquez-Correa

Christoph Schommer

Elmar Nöth

2023

Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages

arXiv preprint arXiv:2305.11284

Soroosh Tayebi Arasteh

Cristian David Rios-Urrego

Elmar Noeth

Andreas Maier

Seung Hee Yang

...

2023/5/18

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

arXiv preprint arXiv:2308.08306

Franziska Braun

Sebastian P Bayerl

Paula A Pérez-Toro

Florian Hönig

Hartmut Lehfeld

...

2023/8/16

See List of Professors in Elmar Nöth University(Friedrich-Alexander-Universität Erlangen-Nürnberg)