Outputs (43)

Personalised, multi-modal, affective state detection for hybrid brain-computer music interfacing (2018)
Journal Article

Brain-computer music interfaces (BCMIs) may be used to modulate affective states, with applications in music therapy, composition, and entertainment. However, for such systems to work they need to be able to reliably detect their user's current affec... Read More about Personalised, multi-modal, affective state detection for hybrid brain-computer music interfacing.

BCI for Music Making: Then, Now, and Next (2018)
Book Chapter
Williams, D. A., & Miranda, E. R. BCI for Music Making: Then, Now, and Next. In C. S. Nam, A. Nijholt, & F. Lotte (Eds.), . Taylor & Francis (Routledge). https://doi.org/10.1201/9781351231954

Brain–computer music interfacing (BCMI) is a growing field with a history of experimental applications derived from the cutting edge of BCI research as adapted to music making and performance. BCMI offers some unique possibilities over traditional mu... Read More about BCI for Music Making: Then, Now, and Next.

BCI for music making : then, now, and next (2018)
Book Chapter
Williams, D., & Miranda, E. (2018). BCI for music making : then, now, and next. In C. Nam, A. Nijholt, & F. Lotte (Eds.), Brain–Computer Interfaces Handbook. Taylor and Francis. https://doi.org/10.1201/9781351231954

Brain–computer music interfacing (BCMI) is a growing field with a history of experimental applications derived from the cutting edge of BCI research as adapted to music making and performance. BCMI offers some unique possibilities over traditional mu... Read More about BCI for music making : then, now, and next.

Directed motor-auditory EEG connectivity is modulated by music tempo (2017)
Journal Article

Beat perception is fundamental to how we experience music, and yet the mechanism behind this spontaneous building of the internal beat representation is largely unknown. Existing findings support links between the tempo (speed) of the beat and enhanc... Read More about Directed motor-auditory EEG connectivity is modulated by music tempo.

Affective Calibration of Musical Feature Sets in an Emotionally Intelligent Music Composition System (2017)
Journal Article
Williams, D., Kirke, A., Miranda, E., Daly, I., Hwang, F., Weaver, J., & Nasuto, S. (2017). Affective Calibration of Musical Feature Sets in an Emotionally Intelligent Music Composition System. ACM transactions on applied perception, 14(3), 1-13. https://doi.org/10.1145/3059005

Affectively driven algorithmic composition (AAC) is a rapidly growing field that exploits computer-aided composition in order to generate new music with particular emotional qualities or affective intentions. An AAC system was devised in order to gen... Read More about Affective Calibration of Musical Feature Sets in an Emotionally Intelligent Music Composition System.

Affective brain–computer music interfacing (2016)
Journal Article

Objective. We aim to develop and evaluate an affective brain–computer music interface (aBCMI) for modulating the affective states of its users. Approach. An aBCMI is constructed to detect a user's current affective state and attempt to modulate it in... Read More about Affective brain–computer music interfacing.

On the affective potential of the recorded voice (2016)
Journal Article
Williams, D. (2016). On the affective potential of the recorded voice. Journal of the Audio Engineering Society, 64(6), 429-437. https://doi.org/10.17743/jaes.2016.0019

Affective science increasingly concludes that the voice is a powerful tool for emotional communication. The process of creating a finished product by means of studio recording gives listeners the opportunity to engage in experiences of the voice that... Read More about On the affective potential of the recorded voice.

The Space Between Us : evaluating a multi-user affective brain-computer music interface (2015)
Journal Article
Eaton, J., Williams, D., & Miranda, E. (2015). The Space Between Us : evaluating a multi-user affective brain-computer music interface. Brain-Computer Interfaces, 2(2-3), 103-116. https://doi.org/10.1080/2326263x.2015.1101922

Music as a mechanism for neuro-feedback presents an interesting medium for artistic exploration, especially with regard to passive BCI control. Passive control in a brain-computer music interface (BCMI) provides a means for approximating mental state... Read More about The Space Between Us : evaluating a multi-user affective brain-computer music interface.

Investigating perceived emotional correlates of rhythmic density in algorithmic music composition (2015)
Journal Article

Affective algorithmic composition is a growing field that combines perceptually motivated affective computing strategies with novel music generation. This article presents work toward the development of one application. The long-term goal is to devel... Read More about Investigating perceived emotional correlates of rhythmic density in algorithmic music composition.

Artificial Intelligence in Organised Sound (2015)
Journal Article
Miranda, E., & Williams, D. (2015). Artificial Intelligence in Organised Sound. Organised Sound, 20(1), 76-81. https://doi.org/10.1017/S1355771814000454

Artificial Intelligence is a rich and still-developing field with a number of musical applications. This paper surveys the use of Artificial Intelligence in music in the pages of Organised Sound, from the first issue to the latest, at the time of wri... Read More about Artificial Intelligence in Organised Sound.