Shuo Liu

Orcid: 0000-0001-8133-8588

Affiliations:
  • University of Augsburg, Chair of Embedded Intelligence for Health Care and Wellbeing, Augsburg, Germany


According to our database1, Shuo Liu authored at least 36 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Automatic Bird Sound Source Separation Based on Passive Acoustic Devices in Wild Environment.
IEEE Internet Things J., May, 2024

2023
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era.
Proc. IEEE, October, 2023

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare.
Frontiers Digit. Health, May, 2023

Deep learning approaches for adaptive audio processing and binary classification in digital health.
PhD thesis, 2023

Multistage linguistic conditioning of convolutional layers for speech emotion recognition.
Frontiers Comput. Sci., 2023

A review of automatic recognition technology for bird vocalizations in the deep learning era.
Ecol. Informatics, 2023

The MASCFLICHT Corpus: Face Mask Type and Coverage Area Recognition from Speech.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

COVID-19 Detection from Speech in Noisy Conditions.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection.
IEEE J. Biomed. Health Informatics, 2022

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder.
Pattern Recognit., 2022

Audio self-supervised learning: A survey.
Patterns, 2022

Evaluating the Impact of Voice Activity Detection on Speech Emotion Recognition for Autistic Children.
Frontiers Comput. Sci., 2022

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions.
Comput. Methods Programs Biomed., 2022

Convoluational Transformer With Adaptive Position Embedding For Covid-19 Detection From Cough Sounds.
Proceedings of the IEEE International Conference on Acoustics, 2022

Zero-Shot Audio Classification Using Synthesised Classifiers and Pre-Trained Models.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

COVID-19 Detection Exploiting Self-Supervised Learning Representations of Respiratory Sounds.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

A Temporal-oriented Broadcast ResNet for COVID-19 Detection.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Frustration recognition from speech during game interaction using wide residual networks.
Virtual Real. Intell. Hardw., 2021

N-HANS: A neural network-based toolkit for in-the-wild audio enhancement.
Multim. Tools Appl., 2021

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19.
IEEE Internet Things J., 2021

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate.
CoRR, 2021

Coughing-Based Recognition of Covid-19 with Spatial Attentive ConvLSTM Recurrent Neural Networks.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Deep speaker conditioning for speech emotion recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Predicting Group Work Performance from Physical Handwriting Features in a Smart English Classroom.
Proceedings of the ICDSP 2021: 5th International Conference on Digital Signal Processing, 2021

A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Supervised Contrastive Learning for Game-Play Frustration Detection from Speech.
Proceedings of the Universal Access in Human-Computer Interaction. Design Methods and User Experience, 2021

The Filtering Effect of Face Masks in their Detection from Speech.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

COVID-19 Detection with a Novel Multi-Type Deep Fusion Method using Breathing and Coughing Information.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Adventitious Respiratory Classification Using Attentive Residual Neural Networks.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Towards Speech Robustness for Acoustic Scene Classification.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Curriculum Learning Approach for Pain Intensity Recognition from Facial Expressions.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019
N-HANS: Introducing the Augsburg Neuro-Holistic Audio-eNhancement System.
CoRR, 2019

Single-Channel Speech Separation with Auxiliary Speaker Embeddings.
CoRR, 2019

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition.
Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, 2019


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