Elmar Nöth
36 papers · 2016–2023 · 2 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (13)
🐝
Cross-Pollinator
(13)
🧭
Keyword Pioneer
🏃
Academic Marathon
(7)
🏠
Conference Loyalist
(35)
🏆
Keyword Champion
(4)
🔬
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(19)
🤝
Dynamic Duo
(17)
🔥
Unstoppable
(8)
🚀
Conference Pioneer
📈
Trend Setter
⚡
Prolific Year
(8)
❓
The Questioner
(2)
💎
Century Club
(36)
🗃️
Keyword Collector
(51)
Conferences
INTERSPEECH (35)
ACL (1)
Top co-authors
Research topics
Keywords
speech analysis
(13)
parkinson disease
(10)
clinical speech analysis
(6)
parkinson disease detection
(5)
speech disorder
(5)
speech recognition
(3)
convolutional neural network
(3)
killer whale
(3)
pathological speech
(3)
multimodal learning
(3)
speech assessment
(3)
deep neural network
(2)
latent representation
(2)
recurrent neural network
(2)
representation learning
(2)
random forest
(2)
speech intelligibility
(2)
disease progression
(2)
medical classification
(2)
support vector machine
(2)
Papers
Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages
INTERSPEECH 2023
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
Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors
INTERSPEECH 2023
Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data?
INTERSPEECH 2023
Classifying Dementia in the Presence of Depression: A Cross-Corpus Study
INTERSPEECH 2023
Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features
INTERSPEECH 2023
An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients
INTERSPEECH 2023
A Stutter Seldom Comes Alone – Cross-Corpus Stuttering Detection as a Multi-label Problem
INTERSPEECH 2023
Influence of Utterance and Speaker Characteristics on the Classification of Children with Cleft Lip and Palate
INTERSPEECH 2023
Measuring Phonological Precision in Children with Cleft Lip and Palate
INTERSPEECH 2023
ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning
INTERSPEECH 2022
Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment
INTERSPEECH 2022
Modeling Dysphonia Severity as a Function of Roughness and Breathiness Ratings in the GRBAS Scale
INTERSPEECH 2021
On Modeling Glottal Source Information for Phonation Assessment in Parkinson’s Disease
INTERSPEECH 2021
Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge
INTERSPEECH 2021
The Phonetic Footprint of Covid-19?
INTERSPEECH 2021
ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification
INTERSPEECH 2021
Surgical Mask Detection with Deep Recurrent Phonetic Models
INTERSPEECH 2020
ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication
INTERSPEECH 2020
Automated Cross-language Intelligibility Analysis of Parkinson’s Disease Patients Using Speech Recognition Technologies
ACL 2019
Deep Learning for Orca Call Type Identification — A Fully Unsupervised Approach
INTERSPEECH 2019
Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users
INTERSPEECH 2019
Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data
INTERSPEECH 2019
Feature Representation of Pathophysiology of Parkinsonian Dysarthria
INTERSPEECH 2019
The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity
INTERSPEECH 2019
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson’s Disease
INTERSPEECH 2019
Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech
INTERSPEECH 2019
Multimodal I-vectors to Detect and Evaluate Parkinson's Disease
INTERSPEECH 2018
A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease
INTERSPEECH 2018
An N-Gram Based Approach to the Automatic Diagnosis of Alzheimer’s Disease from Spoken Language
INTERSPEECH 2017
Apkinson — A Mobile Monitoring Solution for Parkinson’s Disease
INTERSPEECH 2017
Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson’s Disease
INTERSPEECH 2017
Evaluation of the Neurological State of People with Parkinson’s Disease Using i-Vectors
INTERSPEECH 2017
Parkinson’s Disease Progression Assessment from Speech Using GMM-UBM
INTERSPEECH 2016
Combining Semantic Word Classes and Sub-Word Unit Speech Recognition for Robust OOV Detection
INTERSPEECH 2016
Automatic Detection of Parkinson’s Disease Based on Modulated Vowels
INTERSPEECH 2016