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Alice Baird

Wissenschaftliche Mitarbeiterin

Name	Alice Baird
Zeit	2018- (Wirkungsdaten)
Ort	London (Wirkungsort) Augsburg (Wirkungsort) Großbritannien Deutschland
Geschlecht	weiblich
Beruf	Wissenschaftliche Mitarbeiterin (charakteristischer Beruf)
Weitere Angaben	derzeit Wissenschaftliche Mitarbeiterin an der Universität Augsburg, ZD.B Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing, Schwerpunkt u.a. Sprachüberwachung und synthetische Klanglandschaft, BA in Musiktechnologie an der London Metropolitan University (Stand 2018)
Quelle	Baird, Alice. The perception of vocal traits in synthesized voices: age, gender, and human likeness, 2018; Journal of the Audio Engineering Society, Band 66, Heft 4, S. 285
Datensatztyp	Person
GND-Nummer	1166254798
Datensatz-ID	1166254798
Beteiligt an alle anzeigen A summary of the ComParE COVID-19 challenges Computer audition for emotional wellbeing Ethical awareness in paralinguistics: a taxonomy of applications HEAR4Health: a blueprint for making computer audition a staple of modern healthcare The ACM Multimedia 2023 Computational Paralinguistics Challenge: emotion share & requests A cross-corpus speech-based analysis of escalating negative interactions A summary of the ComParE COVID-19 challenges An estimation of online video user engagement from features of time- and value-continuous, dimensional emotions Evaluating the impact of voice activity detection on speech emotion recognition for autistic children Face mask recognition from audio: the MASC database and an overview on the mask challenge The ACII 2022 Affective Vocal Bursts Workshop & Competition: understanding a critically understudied modality of emotional expression A physiologically-adapted gold standard for arousal during stress A prototypical network approach for evaluating generated emotional speech An evaluation of speech-based recognition of emotional and physiological markers of stress An Evaluation of Speech-Based Recognition of Emotional and Physiological Markers of Stress End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study MuSe-Toolbox: the multimodal sentiment analysis continuous annotation fusion and discrete class transformation toolbox New avenues in audio intelligence: towards holistic real-life audio understanding Robot-based intervention for children with autism spectrum disorder: a systematic literature review Sentiment analysis and topic recognition in video transcriptions The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 cough, COVID-19 speech, escalation & primates The MuSe 2021 Multimodal Sentiment Analysis Challenge: sentiment, emotion, physiological-emotion, and stress The perception of emotional cues by children in artificial background noise An evaluation of the effect of anxiety on speech - computational prediction of anxiety from sustained vowels An evolutionary-based generative approach for audio data augmentation Deep attentive end-to-end continuous breath sensing from speech Interaction with the soundscape: exploring emotional audio generation for improved individual wellbeing Machine listening for heart status monitoring: introducing and benchmarking HSS — the Heart Sounds Shenzhen corpus MuSe 2020 challenge and workshop: multimodal sentiment analysis, emotion-target engagement and trustworthiness detection in real-life media: emotional car reviews in-the-wild Stargan for emotional speech conversion: validated by data augmentation of end-to-end emotion recognition The INTERSPEECH 2020 Computational Paralinguistics Challenge: elderly emotion, breathing & masks The perception of emotional cues by children in artificial background noise Audio-based recognition of bipolar disorder utilising capsule networks Can deep generative audio be emotional? Towards an approach for personalised emotional audio generation Emotion and themes recognition in music utilising convolutional and recurrent neural networks Emotional expression in psychiatric conditions: new technology for clinicians Performance analysis of unimodal and multimodal models in valence-based empathy recognition Predicting biological signals from speech: introducing a novel multimodal dataset and results Sincerity in acted speech: presenting the Sincere Apology Corpus and results Synchronization in interpersonal speech The ASC-inclusion perceptual serious gaming platform for autistic children Using speech to predict sequentially measured cortisol levels during a trier social stress test [multi’vocal]: reflections on engaging everyday people in the development of a collective non-binary synthesized voice Categorical vs dimensional perception of Italian emotional speech Deep scalogram representations for acoustic scene classification Recognition of echolalic autistic child vocalisations utilising convolutional recurrent neural networks Speech analysis for health: current state-of-the-art and the increasing impact of deep learning Teaching machines on snoring: a benchmark on computer audition for snore sound excitation localisation The INTERSPEECH 2018 computational paralinguistics challenge: atypical and self-assessed affect, crying and heart beats The perceived emotion of isolated synthetic audio: the EmoSynth dataset and results The perception and analysis of the likeability and human likeness of synthesized speech Active learning for bird sound classification via a kernel-based extreme learning machine Active learning for bird sounds classification Automatic classification of autistic child vocalisations: a novel database and results Perception of paralinguistic traits in synthesized voices Snore sound classification using image-based deep spectrum features Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments The perception of emotion in the singing voice: the understanding of music mood for music organisation The perception of emotions in noisified nonsense speech The INTERSPEECH 2016 computational paralinguistics challenge: deception, sincerity and native language

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Katalog der Deutschen Nationalbibliothek

Alice Baird

A summary of the ComParE COVID-19 challenges

Computer audition for emotional wellbeing

Ethical awareness in paralinguistics: a taxonomy of applications

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

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

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

A summary of the ComParE COVID-19 challenges

An estimation of online video user engagement from features of time- and value-continuous, dimensional emotions

Evaluating the impact of voice activity detection on speech emotion recognition for autistic children

Face mask recognition from audio: the MASC database and an overview on the mask challenge

The ACII 2022 Affective Vocal Bursts Workshop & Competition: understanding a critically understudied modality of emotional expression

A physiologically-adapted gold standard for arousal during stress

A prototypical network approach for evaluating generated emotional speech

An evaluation of speech-based recognition of emotional and physiological markers of stress

An Evaluation of Speech-Based Recognition of Emotional and Physiological Markers of Stress

End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study

MuSe-Toolbox: the multimodal sentiment analysis continuous annotation fusion and discrete class transformation toolbox

New avenues in audio intelligence: towards holistic real-life audio understanding

Robot-based intervention for children with autism spectrum disorder: a systematic literature review

Sentiment analysis and topic recognition in video transcriptions

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 cough, COVID-19 speech, escalation & primates

The MuSe 2021 Multimodal Sentiment Analysis Challenge: sentiment, emotion, physiological-emotion, and stress

The perception of emotional cues by children in artificial background noise

An evaluation of the effect of anxiety on speech - computational prediction of anxiety from sustained vowels

An evolutionary-based generative approach for audio data augmentation

Deep attentive end-to-end continuous breath sensing from speech

Interaction with the soundscape: exploring emotional audio generation for improved individual wellbeing

Machine listening for heart status monitoring: introducing and benchmarking HSS — the Heart Sounds Shenzhen corpus

MuSe 2020 challenge and workshop: multimodal sentiment analysis, emotion-target engagement and trustworthiness detection in real-life media: emotional car reviews in-the-wild

Stargan for emotional speech conversion: validated by data augmentation of end-to-end emotion recognition

The INTERSPEECH 2020 Computational Paralinguistics Challenge: elderly emotion, breathing & masks

The perception of emotional cues by children in artificial background noise

Audio-based recognition of bipolar disorder utilising capsule networks

Can deep generative audio be emotional? Towards an approach for personalised emotional audio generation

Emotion and themes recognition in music utilising convolutional and recurrent neural networks

Emotional expression in psychiatric conditions: new technology for clinicians

Performance analysis of unimodal and multimodal models in valence-based empathy recognition

Predicting biological signals from speech: introducing a novel multimodal dataset and results

Sincerity in acted speech: presenting the Sincere Apology Corpus and results

Synchronization in interpersonal speech

The ASC-inclusion perceptual serious gaming platform for autistic children

Using speech to predict sequentially measured cortisol levels during a trier social stress test

[multi’vocal]: reflections on engaging everyday people in the development of a collective non-binary synthesized voice

Categorical vs dimensional perception of Italian emotional speech

Deep scalogram representations for acoustic scene classification

Recognition of echolalic autistic child vocalisations utilising convolutional recurrent neural networks

Speech analysis for health: current state-of-the-art and the increasing impact of deep learning

Teaching machines on snoring: a benchmark on computer audition for snore sound excitation localisation

The INTERSPEECH 2018 computational paralinguistics challenge: atypical and self-assessed affect, crying and heart beats

The perceived emotion of isolated synthetic audio: the EmoSynth dataset and results

The perception and analysis of the likeability and human likeness of synthesized speech

Active learning for bird sound classification via a kernel-based extreme learning machine

Active learning for bird sounds classification

Automatic classification of autistic child vocalisations: a novel database and results

Perception of paralinguistic traits in synthesized voices

Snore sound classification using image-based deep spectrum features

Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments

The perception of emotion in the singing voice: the understanding of music mood for music organisation

The perception of emotions in noisified nonsense speech

The INTERSPEECH 2016 computational paralinguistics challenge: deception, sincerity and native language