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Björn Schuller (1975-)

Elektroingenieur

Name	Björn Schuller
Zeit	1975- (Lebensdaten)
Ort	München (Geburtsort) Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Prof. Dr.-Ing. habil.
Beruf	Elektroingenieur (charakteristischer Beruf) Hochschullehrer
Variante	Björn W. Schuller Björn Wolfgang Schuller
Beziehung	Universität Passau Imperial College of Science, Technology and Medicine TUM School of Medicine and Health (2023-) Technische Universität München. TUM School of Computation, Information and Technology (2023-) Elektrotechnik (Studienfach) Informationstechnik (Studienfach)
Weitere Angaben	Diplom (1999), Promotion (2006) und Habilitation (2012) an der Fakultät für Elektro- und Informationstechnik der Technischen Universität München Privatdozent und Leiter der Machine Intelligence & Signal Processing Group an der Technischen Universität München, Senior Lecturer am Imperial College London (seit 2013) und Geschäftsführer der audEERING UG Professor, Inhaber des Lehrstuhls für Complex and Intelligent Systems an der Universität Passau (seit 2014) Forschungsschwerpunkte: Machine Learning, Complex Systems, Audiovisual Signal Processing, Human-Computer/Robot-Interaction, Affective Computing
Quelle	AM Metadaten Homepage: http://www.schuller.it/ Homepage: http://www.schuller.one/
Datensatztyp	Person
GND-Nummer	131871706
Datensatz-ID	131871706
Beteiligt an alle anzeigen Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers Audiovisual affect recognition for autonomous vehicles: applications and future agendas COLD Fusion: calibrated and ordinal latent distribution fusion for uncertainty-aware multimodal emotion recognition Coupling sentiment and arousal analysis towards an affective dialogue manager Detecting somatisation disorder via speech: introducing the Shenzhen Somatisation Speech Corpus Discursive resilience – countering polarization and fragmentation in (social) media discourse Ecology & computer audition: applications of audio technology to monitor organisms and environment Editorial: Digital health and virtual health care for adults and older adults: innovative technological solutions for diagnosis, management, and rehabilitation emoDARTS: joint optimization of CNN and sequential neural network architectures for superior speech emotion recognition Emotional competence self-help mobile phone app versus cognitive behavioural self-help app versus self-monitoring app to promote mental wellbeing in healthy young adults (ECoWeB PROMOTE): an international, multicentre, parallel, open-label, randomised controlled trial Focused review on artificial intelligence for disease detection in infants Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model The acoustic dissection of cough: diving into machine listening-based COVID-19 analysis and detection Validation of machine learning-based assessment of major depressive disorder from paralinguistic speech characteristics in routine care Validation of Machine Learning‐Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care Evaluating the feasibility and exploring the efficacy of an emotion-based approach-avoidance modification training (eAAMT) in the context of perceived stress in an adult sample — protocol of a parallel randomized controlled pilot study A weakly supervised spatial group attention network for fine-grained visual recognition 'Do touch!' - 3D scanning and printing technologies for the haptic representation of cultural assets: a study with blind target users A summary of the ComParE COVID-19 challenges A weakly supervised spatial group attention network for fine-grained visual recognition Airborne pollen grain detection from partially labelled data utilising semi-supervised learning An overview of affective speech synthesis and conversion in the deep learning era Audio-visual gated-sequenced neural networks for affect recognition Automated acoustic detection of Geoffroy's spider monkey highlights tipping points of human disturbance Automated composition of Galician Xota — tuning RNN-based composers for specific musical styles using deep Q-learning Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy Can a holistic view facilitate the development of intelligent traditional Chinese medicine? A survey Can ChatGPT's responses boost traditional natural language processing? Computational charisma: a brick by brick blueprint for building charismatic artificial intelligence Dawn of the transformer era in speech emotion recognition: closing the valence gap Dual attention and element recalibration networks for automatic depression level prediction Editorial: Human-centred computer audition: sound, music, and healthcare Emotion intensity and its control for emotional voice conversion Ethical awareness in paralinguistics: a taxonomy of applications Evaluating the feasibility and exploring the efficacy of an emotion-based approach-avoidance modification training (eAAMT) in the context of perceived stress in an adult sample — protocol of a parallel randomized controlled pilot study Guest editorial trustworthy and collaborative AI for personalised healthcare through edge-of-things Guest editorial: special issue on affective speech and language synthesis, generation, and conversion HEAR4Health: a blueprint for making computer audition a staple of modern healthcare Identifying languages in a novel dataset: ASMR-whispered speech Multistage linguistic conditioning of convolutional layers for speech emotion recognition Multitask learning from augmented auxiliary data for improving speech emotion recognition Perception and classification of emotions in nonsense speech: humans versus machines Sadness-based approach-avoidance modification training for subjective stress in adults: pilot randomized controlled trial Self supervised adversarial domain adaptation for cross-corpus and cross-language speech emotion recognition Speech denoising and compensation for hearing aids using an FTCRN-based metric GAN Speech synthesis with mixed emotions The ACM Multimedia 2023 Computational Paralinguistics Challenge: emotion share & requests The promise of digital healthcare technologies The voice of the body: why AI should listen to it and an archive Toward detecting and addressing corner cases in deep learning based medical image segmentation Voice Analysis for Neurological Disorder Recognition – A Systematic Review and Perspective on Emerging Trends Will affective computing emerge from foundation models and general artificial intelligence? A first evaluation of ChatGPT Zero-shot personalization of speech foundation models for depressed mood monitoring Vocalisation Repertoire at the End of the First Year of Life: An Exploratory Comparison of Rett Syndrome and Typical Development MEDAS: an open-source platform as a service to help break the walls between medicine and informatics A cross-corpus speech-based analysis of escalating negative interactions A summary of the ComParE COVID-19 challenges A survey on client throughput prediction algorithms in wired and wireless networks Accurate emotion strength assessment for seen and unseen speech based on data-driven deep learning AI-based human audio processing for COVID-19: a comprehensive overview

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Katalog der Deutschen Nationalbibliothek

Björn Schuller (1975-)

Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers

Audiovisual affect recognition for autonomous vehicles: applications and future agendas

COLD Fusion: calibrated and ordinal latent distribution fusion for uncertainty-aware multimodal emotion recognition

Coupling sentiment and arousal analysis towards an affective dialogue manager

Detecting somatisation disorder via speech: introducing the Shenzhen Somatisation Speech Corpus

Discursive resilience – countering polarization and fragmentation in (social) media discourse

Ecology & computer audition: applications of audio technology to monitor organisms and environment

Editorial: Digital health and virtual health care for adults and older adults: innovative technological solutions for diagnosis, management, and rehabilitation

emoDARTS: joint optimization of CNN and sequential neural network architectures for superior speech emotion recognition

Emotional competence self-help mobile phone app versus cognitive behavioural self-help app versus self-monitoring app to promote mental wellbeing in healthy young adults (ECoWeB PROMOTE): an international, multicentre, parallel, open-label, randomised controlled trial

Focused review on artificial intelligence for disease detection in infants

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

The acoustic dissection of cough: diving into machine listening-based COVID-19 analysis and detection

Validation of machine learning-based assessment of major depressive disorder from paralinguistic speech characteristics in routine care

Validation of Machine Learning‐Based Assessment of Major Depressive Disorder from Paralinguistic Speech Characteristics in Routine Care

Evaluating the feasibility and exploring the efficacy of an emotion-based approach-avoidance modification training (eAAMT) in the context of perceived stress in an adult sample — protocol of a parallel randomized controlled pilot study

A weakly supervised spatial group attention network for fine-grained visual recognition

'Do touch!' - 3D scanning and printing technologies for the haptic representation of cultural assets: a study with blind target users

A summary of the ComParE COVID-19 challenges

A weakly supervised spatial group attention network for fine-grained visual recognition

Airborne pollen grain detection from partially labelled data utilising semi-supervised learning

An overview of affective speech synthesis and conversion in the deep learning era

Audio-visual gated-sequenced neural networks for affect recognition

Automated acoustic detection of Geoffroy's spider monkey highlights tipping points of human disturbance

Automated composition of Galician Xota — tuning RNN-based composers for specific musical styles using deep Q-learning

Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy

Can a holistic view facilitate the development of intelligent traditional Chinese medicine? A survey

Can ChatGPT's responses boost traditional natural language processing?

Computational charisma: a brick by brick blueprint for building charismatic artificial intelligence

Dawn of the transformer era in speech emotion recognition: closing the valence gap

Dual attention and element recalibration networks for automatic depression level prediction

Editorial: Human-centred computer audition: sound, music, and healthcare

Emotion intensity and its control for emotional voice conversion

Ethical awareness in paralinguistics: a taxonomy of applications

Evaluating the feasibility and exploring the efficacy of an emotion-based approach-avoidance modification training (eAAMT) in the context of perceived stress in an adult sample — protocol of a parallel randomized controlled pilot study

Guest editorial trustworthy and collaborative AI for personalised healthcare through edge-of-things

Guest editorial: special issue on affective speech and language synthesis, generation, and conversion

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare

Identifying languages in a novel dataset: ASMR-whispered speech

Multistage linguistic conditioning of convolutional layers for speech emotion recognition

Multitask learning from augmented auxiliary data for improving speech emotion recognition

Perception and classification of emotions in nonsense speech: humans versus machines

Sadness-based approach-avoidance modification training for subjective stress in adults: pilot randomized controlled trial

Self supervised adversarial domain adaptation for cross-corpus and cross-language speech emotion recognition

Speech denoising and compensation for hearing aids using an FTCRN-based metric GAN

Speech synthesis with mixed emotions

The ACM Multimedia 2023 Computational Paralinguistics Challenge: emotion share & requests

The promise of digital healthcare technologies

The voice of the body: why AI should listen to it and an archive

Toward detecting and addressing corner cases in deep learning based medical image segmentation

Voice Analysis for Neurological Disorder Recognition – A Systematic Review and Perspective on Emerging Trends

Will affective computing emerge from foundation models and general artificial intelligence? A first evaluation of ChatGPT

Zero-shot personalization of speech foundation models for depressed mood monitoring

Vocalisation Repertoire at the End of the First Year of Life: An Exploratory Comparison of Rett Syndrome and Typical Development

MEDAS: an open-source platform as a service to help break the walls between medicine and informatics

A cross-corpus speech-based analysis of escalating negative interactions

A summary of the ComParE COVID-19 challenges

A survey on client throughput prediction algorithms in wired and wireless networks

Accurate emotion strength assessment for seen and unseen speech based on data-driven deep learning

AI-based human audio processing for COVID-19: a comprehensive overview