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School of Electronic Engineering and Computer Science

Dr Mathieu Barthet


Senior Lecturer in Digital Media

Telephone: +44 20 7882 7518
Room Number: Engineering, Eng 111


Digital Media and Social Networks (Postgraduate)

Content description: ------- How does the way we feel and express emotional behaviour affect our interaction with technology? What if we could use a ''head nod'' for ''liking'' things on Facebook? Can we create assistive technology to help people suffering from social disorders (e.g., autism)? Affective and Behavioural Computing is a multidisciplinary field of research and practice concerned with these questions, and understanding, recognizing and utilizing human emotions and communicative behaviour in the design of computational systems. ----- The following list aims to clarify the content and provides a representative list of topics: ¿ Overview: affective and behavioural computing; ¿ Theories in psychology, cognitive science and neuroscience: affect, emotion and social signal processing; ¿ Computational models; ¿ Emotion, affect and social signals in Human-Computer Interaction (HCI); ¿ Sensing: vision, audio, bio signals, text; data acquisition and annotation, databases and tools; ¿ Processing: extracting meaningful information and features; ¿ Recognition: applying machine learning techniques; ¿ Programming refresher: Hands-on lecture on programming for affective and behavioural computing using relevant libraries; ¿ Evaluation: automatic analysers, and emotionally and socially intelligent systems; ¿ Affect and social signal expression and generation (virtual characters, robots, etc.); ¿ Affect and social signals for Mobile HCI; ¿ Applications (entertainment technology/gaming/arts; clinical and biomedical studies, e.g., autism, depression, pain; etc.; implicit (multimedia) tagging; affective wearables); ¿ Ethical issues.

Digital Media and Social Networks (Undergraduate)

Introduction to Online Social Networks (OSN) Characteristics of OSNs Basic Graph Theory Small World Phenomenon Information propagation on OSNs Influence and Content Recommendation Sentiment Analysis in Social Media Privacy and ethics

Sound Recording and Production Techniques (Postgraduate/Undergraduate)

The module develops the students' skills and understanding of contemporary audio production techniques. It will give the students a good grounding in the theoretical aspects of audio production, from the functionality of audio interfaces to the signal processing within audio effects, as well as providing practical experience in the use of all audio equipment to which the theory applies. The students will learn the implications of audio digitisation, through which they will gain an understanding of the various means by which digital media is disseminated in the modern age.


Research Interests:

music information retrieval, human computer interaction, music perception, augmented/virtual reality, internet of musical things


    • Frachi Y, Takahashi T, Wang F et al. (2022), Design of Emotion-Driven Game Interaction Using Biosignals $nameOfConference

    • Yang S, Reed CN, Chew E et al. (2021), Examining Emotion Perception Agreement in Live Music Performance $nameOfConference

    • Graf M, Opara HC, Barthet M (2021), An Audio-Driven System for Real-Time Music Visualisation Audio Engineering Society Convention 150

    • Turchet L, Barthet M (2019), Haptification of performer's control gestures in live electronic music performance $nameOfConference

    • Bruford F, Barthet M, McDonald S et al. (2019), Modelling musical similarity for drum patterns: A perceptual evaluation $nameOfConference

    • Stolfi AS, Milo A, Barthet M (2019), Improvising in the browser with semantic sound objects $nameOfConference

    • BROMHAM G, Moffat D, Barthet M et al. (2019), The Impact of Audio Effects Processing on the Perception of Brightness and Warmth Audio Mostly

    • Turchet L, Barthet M (2019), An ubiquitous smart guitar system for collaborative musical practice $nameOfConference

    • Deacon T, Bryan-Kinns N, Healey PGT et al. (2019), Shaping sounds: The role of gesture in collaborative spatial music composition $nameOfConference

    • Weaver J, Barthet M, Chew E (2019), Filling the space: The impact of convolution reverberation time on note duration and velocity in duet performance $nameOfConference

    • Bruford F, McDonald ST, Barthet M et al. (2019), Groove explorer: An intelligent visual interface for drum loop library navigation $nameOfConference

    • Turchet L, Barthet M (2018), Jamming with a Smart Mandolin and Freesound-based Accompaniment $nameOfConference

    • Turchet L, Viola F, Fazekas G et al. (2018), Towards a Semantic Architecture for the Internet of Musical Things $nameOfConference

    • TURCHET L, BARTHET M (2018), Co-design of Musical Haptic Wearables for Electronic Music Performer's Communication $nameOfConference

    • Stolfi A, Sokolovskis J, Gorodscy F et al. (2018), Audio semantics: Online chat communication in open band participatory music performances $nameOfConference

    • Viola F, Stolfi A, Milo A et al. (2018), Enhancing a live music performance tool with semantic recommendations $nameOfConference

    • Turchet L, Fischione C, Essl G et al. (2018), Internet of Musical Things: Vision and Challenges $nameOfConference

    • Pauwels J, Xambó A, Roma G et al. (2018), Exploring Real-time Visualisations to Support Chord Learning with a Large Music Collection 4th Web Audio Conference (WAC)

    • Xambó A, Pauwels J, Roma G et al. (2018), Jam with Jamendo: Querying a large music collection by chords from a learner's perspective $nameOfConference

    • GODDARD C, BARTHET M, WIGGINS G (2018), Assessing Musical Similarity for Computational Music Creativity $nameOfConference

    • Turchet L, McPherson A, Barthet M (2018), Co-design of a smart Cajón $nameOfConference

    • SKACH S, XAMBO A, TURCHET L et al. (2018), Embodied Interactions with E-Textiles and the Internet of Sounds for Performing Arts ACM Conference on Tangible, Embedded, and Embodied Interactions

    • Weaver J, Barthet M, Chew E (2018), Analysis of piano duo tempo changes in varying convolution reverberation conditions $nameOfConference

    • Turchet L, McPherson A, Barthet M (2018), Real-time hit classification in a smart cajón $nameOfConference

    • Bromham G, Moffat D, Barthet M et al. (2018), The impact of compressor ballistics on the perceived style of music $nameOfConference

    • Deacon T, Stockman T, Barthet M (2017), User experience in an interactive music virtual reality system: An exploratory study $nameOfConference

    • Pigrem J, Barthet M (2017), Datascaping: Data sonification as a narrative device in soundscape composition $nameOfConference

    • Goddard C, BARTHET M, Wiggins G (2017), Designing Computationally Creative Musical Performance Systems Audio Mostly 2017

    • Olowe I, Grierson M, Barthet M (2017), FEATUR.UX.AV: A live sound visualization system using multitrack audio $nameOfConference

    • Herremans D, Yang S, Chuan CH et al. (2017), IMMA-Emo: A multimodal interface for visualising score- and audio-synchronised emotion annotations $nameOfConference

    • Subramaniam A, Barthet M (2017), Mood visualiser: Augmented music visualisation gauging audience arousal $nameOfConference

    • Stolfi A, Barthet M, Goródscy F et al. (2017), Open band: A platform for collective sound dialogues $nameOfConference

    • Olowe I, Grierson M, Barthet M (2017), User requirements for live sound visualization system using multitrack audio $nameOfConference

    • Fazekas G, Barthet M, Stockman T (2017), Welcome to Audio Mostly 2017! $nameOfConference

    • Wu Y, Zhang L, Bryan-Kinns N et al. (2017), Open Symphony: Creative Participation for Audiences of Live Music Performances $nameOfConference

    • Turchet L, Fischione C, Barthet M (2017), Towards the Internet of Musical Things $nameOfConference

    • Zhang L, Wu Y, BARTHET M (2016), A Web Application for Audience Participation in Live Music Performance: The Open Symphony Use Case International Conference on New Interfaces for Musical Expression

    • Hayes K, BARTHET M, Wu Y et al. (2016), A Participatory Live Music Performance with the Open Symphony System ACM Conference on Human Factors in Computing Systems (CHI): Interactivity

    • Barthet M, Fazekas G, Thalmann F et al. (2016), Crossroads: Interactive Music Systems Transforming Performance, Production and Listening $nameOfConference

    • Barthet M, Fazekas G, Allik A et al. (2016), From interactive to adaptive mood-based music listening experiences in social or personal context $nameOfConference

    • Saari P, Fazekas G, Eerola T et al. (2016), Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation $nameOfConference

    • Allik A, Fazekas G, Barthet M et al. (2016), myMoodplay: An interactive mood-based music discovery app $nameOfConference

    • Barthet M, Fazekas G, Allik A et al. (2015), Moodplay: an interactive mood-based musical experience $nameOfConference

    • Fazekas G, BARTHET M, Sandler MB (2014), Novel Methods in Facilitating Audience and Performer Interaction Using the Mood Conductor Framework $nameOfConference

    • Kachkaev A, Wolff D, BARTHET M et al. (2014), Visualising Chord Progressions in Music Collections: A Big Data Approach 9th Conference on Interdisciplinary Musicology (CIM)

    • Weyde T, Cottrell S, Dykes J et al. (2014), Big Data for Musicology 1st International Digital Libraries for Musicology workshop

    • Kolozali S, Fazekas G, Barthet M et al. (2014), A framework for automatic ontology generation based on semantic audio analysis $nameOfConference

    • BARTHET MHE, Plumbley MD, Kachkaev, A et al. (2014), Big Chord Data Extraction and Mining 9th Conference on Interdisciplinary Musicology (CIM)

    • Weyde T, Cottrell S, Benetos E et al. (2014), Digital Music Lab - A Framework for Analysing Big Music Data European Conference on Data Analysis (ECDA)

    • Lou T, Barthet M, Fazekas G et al. (2014), Evaluation and Improvement of the Mood Conductor Interactive System $nameOfConference

    • Fazekas G, Barthet M, Sandler M (2014), Novel Methods in Facilitating Audience and Performer Interaction using the Mood Conductor Framework $nameOfConference

    • Baume C, Fazekas G, Barthet M et al. (2014), Selection of audio features for music emotion recognition using production music $nameOfConference

    • BARTHET M, Benetos E, Cottrell S et al. (2014), The DML Research Project: Digital Music Lab - Analysing Big Music Data Workshop on "Big Data: Challenges and Applications", Imperial College, London

    • Aramaki M, Barthet M, Kronland-Martinet R et al. (2013), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface $nameOfConference

    • Kolozali S, Barthet M, Fazekas G et al. (2013), Automatic Ontology Generation for Musical Instruments Based on Audio Analysis $nameOfConference

    • Barthet M, Kronland-Martinet R, Ystad S (2013), Consistency of timbre patterns in expressive music performance $nameOfConference

    • Barthet M, Marston D, Baume C et al. (2013), Design and evaluation of semantic mood models for music recommendation $nameOfConference

    • Saari P, Barthet M, Fazekas G et al. (2013), Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags $nameOfConference

    • Fazekas G, Barthet M, Sandler M (2013), The BBC Desktop Jukebox music recommendation system: A large-scale trial with professional users $nameOfConference

    • Saari P, Eerola T, Fazekas G et al. (2013), The Role of Audio and Tags in Music Mood Prediction: a Study Using Semantic Layer Projection $nameOfConference

    • Barthet M, Dixon S (2011), Ethnographic observations of musicologists at the british library: Implications for music information retrieval $nameOfConference

    • Barthet M, Hargreaves S, Sandler M (2011), Speech/music discrimination in audio podcast using structural segmentation and timbre recognition $nameOfConference

    • Stowell D, Barthet M, Dixon S et al. (2011), Musicology for the masses: Situating new audio technologies for musicology and music education Digital Engagement 2011

    • Barthet M, Depalle P, Kronland-Martinet R et al. (2007), The effect of timbre in clarinet interpretation $nameOfConference

    • Barthet M, Guillemain P, Kronland-Martinet R et al. (2005), On the relative influence of even and odd harmonics in clarinet timbre $nameOfConference

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