ERD

EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Automatic Intelligibility Assessment of Parkinson’s Disease with Diadochokinetic Exercises

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson’s Disease

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

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

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Training reports M36 (D4.3)

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Dysarthric Speech Recognition with Lattice-Free MMI

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

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

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Deep Sensing of Breathing Signal During Conversational Speech

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Acoustic features to characterize sentence accent production in dysarthric speech

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Acoustic correlates of speech intelligibility: the usability of the eGeMAPS feature set for atypical speech

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Speech differences between CI users with pre- and postlingual onset of deafness detected by speech processing methods on...

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Apkinson — A Mobile Monitoring Solution for Parkinson’s Disease

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Natural Language Analysis to Detect Parkinson’s Disease

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Di...

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkins...

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Feature Representation of Pathophysiology of Parkinsonian Dysarthria

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Automatic Hierarchical Attention Neural Network for Detecting AD

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Automatic Diagnosis of Alzheimer’s Disease Using Neural Network Language Models

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Attention-based convolutional neural networks for acoustic scene classification

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users

Project: TAPAS

Updated at: 28-04-2024

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Project acronym TAPAS

Resources

Selected filters:

EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings

Automatic Intelligibility Assessment of Parkinson’s Disease with Diadochokinetic Exercises

Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson’s Disease

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

Training reports M36 (D4.3)

Dysarthric Speech Recognition with Lattice-Free MMI

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

Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach

Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes

Deep Sensing of Breathing Signal During Conversational Speech

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach

Acoustic features to characterize sentence accent production in dysarthric speech

Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks

Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review

Acoustic correlates of speech intelligibility: the usability of the eGeMAPS feature set for atypical speech

Speech differences between CI users with pre- and postlingual onset of deafness detected by speech processing methods on...

Apkinson — A Mobile Monitoring Solution for Parkinson’s Disease

Natural Language Analysis to Detect Parkinson’s Disease

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Di...

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkins...

Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech

Feature Representation of Pathophysiology of Parkinsonian Dysarthria

Automatic Hierarchical Attention Neural Network for Detecting AD

Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data

Automatic Diagnosis of Alzheimer’s Disease Using Neural Network Language Models

Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users

Attention-based convolutional neural networks for acoustic scene classification

Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users

Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users