79 results on '"Elmar Nöth"'
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2. Influence of Utterance and Speaker Characteristics on the Classification of Children with Cleft Lip and Palate.
3. Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages.
4. Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features.
5. Classifying Dementia in the Presence of Depression: A Cross-Corpus Study.
6. Measuring Phonological Precision in Children with Cleft Lip and Palate.
7. A Stutter Seldom Comes Alone - Cross-Corpus Stuttering Detection as a Multi-label Problem.
8. Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors.
9. Speaking Clearly, Understanding Better: Predicting the L2 Narrative Comprehension of Chinese Bilingual Kindergarten Children Based on Speech Intelligibility Using a Machine Learning Approach.
10. An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients.
11. Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment.
12. Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition.
13. Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings.
14. Wav2vec behind the Scenes: How end2end Models learn Phonetics.
15. Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0.
16. ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning.
17. On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease.
18. ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification.
19. Modeling Dysphonia Severity as a Function of Roughness and Breathiness Ratings in the GRBAS Scale.
20. Influence of the Interviewer on the Automatic Assessment of Alzheimer's Disease in the Context of the ADReSSo Challenge.
21. The Phonetic Footprint of Covid-19?
22. ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication.
23. Surgical Mask Detection with Deep Recurrent Phonetic Models.
24. CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss.
25. The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity.
26. Feature Representation of Pathophysiology of Parkinsonian Dysarthria.
27. Deep Learning for Orca Call Type Identification - A Fully Unsupervised Approach.
28. Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech.
29. Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data.
30. Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users.
31. A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease.
32. Multimodal I-vectors to Detect and Evaluate Parkinson's Disease.
33. Evaluation of the Neurological State of People with Parkinson's Disease Using i-Vectors.
34. Apkinson - A Mobile Monitoring Solution for Parkinson's Disease.
35. An N-Gram Based Approach to the Automatic Diagnosis of Alzheimer's Disease from Spoken Language.
36. Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson's Disease.
37. Combining Semantic Word Classes and Sub-Word Unit Speech Recognition for Robust OOV Detection.
38. Parkinson's Disease Progression Assessment from Speech Using GMM-UBM.
39. Automatic Detection of Parkinson's Disease Based on Modulated Vowels.
40. Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease.
41. Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease.
42. Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions.
43. Language-independent method for analysis of German stuttering recordings.
44. Low-frequency components analysis in running speech for the automatic detection of parkinson's disease.
45. The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition.
46. Automatic modelling of depressed speech: relevant features and relevance of gender.
47. Automatic detection of parkinson's disease from words uttered in three different languages.
48. Automatic evaluation of parkinson's speech - acoustic, prosodic and voice related cues.
49. The INTERSPEECH 2012 Speaker Trait Challenge.
50. Automatic detection of hypernasal speech signals using nonlinear and entropy measurements.
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