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Items where Author is "Ridley, Harrison"

Items where Author is "Ridley, Harrison"

Group by: Item Type | Uncontrolled Keywords | No Grouping
Number of items: 9.

affective computing

Cunningham, Stuart, Ridley, Harrison, Weinel, Jonathan ORCID logoORCID: https://orcid.org/0000-0001-5347-3897 and Picking, Richard (2021) Supervised machine learning for audio emotion recognition: enhancing film sound design using audio features, regression models and artificial neural networks. Personal and Ubiquitous Computing, 25. pp. 637-650. ISSN 1617-4909 (Print), 1617-4917 (Online) (doi:10.1007/s00779-020-01389-0)

Cunningham, Stuart, Ridley, Harrison, Weinel, Jonathan ORCID logoORCID: https://orcid.org/0000-0001-5347-3897 and Picking, Richard (2019) Audio emotion recognition using machine learning to support sound design. In: AM'19: Proceedings of the 14th International Audio Mostly Conference: A Journey in Sound. September 18 - 20, 2019. Association for Computing Machinery (ACM), New York, pp. 116-123. ISBN 9781450372978 (doi:10.1145/3356590.3356609)

audio

Cunningham, Stuart, Ridley, Harrison, Weinel, Jonathan ORCID logoORCID: https://orcid.org/0000-0001-5347-3897 and Picking, Richard (2021) Supervised machine learning for audio emotion recognition: enhancing film sound design using audio features, regression models and artificial neural networks. Personal and Ubiquitous Computing, 25. pp. 637-650. ISSN 1617-4909 (Print), 1617-4917 (Online) (doi:10.1007/s00779-020-01389-0)

Cunningham, Stuart, Ridley, Harrison, Weinel, Jonathan ORCID logoORCID: https://orcid.org/0000-0001-5347-3897 and Picking, Richard (2019) Audio emotion recognition using machine learning to support sound design. In: AM'19: Proceedings of the 14th International Audio Mostly Conference: A Journey in Sound. September 18 - 20, 2019. Association for Computing Machinery (ACM), New York, pp. 116-123. ISBN 9781450372978 (doi:10.1145/3356590.3356609)

emotion

Cunningham, Stuart, Ridley, Harrison, Weinel, Jonathan ORCID logoORCID: https://orcid.org/0000-0001-5347-3897 and Picking, Richard (2021) Supervised machine learning for audio emotion recognition: enhancing film sound design using audio features, regression models and artificial neural networks. Personal and Ubiquitous Computing, 25. pp. 637-650. ISSN 1617-4909 (Print), 1617-4917 (Online) (doi:10.1007/s00779-020-01389-0)

Cunningham, Stuart, Ridley, Harrison, Weinel, Jonathan ORCID logoORCID: https://orcid.org/0000-0001-5347-3897 and Picking, Richard (2019) Audio emotion recognition using machine learning to support sound design. In: AM'19: Proceedings of the 14th International Audio Mostly Conference: A Journey in Sound. September 18 - 20, 2019. Association for Computing Machinery (ACM), New York, pp. 116-123. ISBN 9781450372978 (doi:10.1145/3356590.3356609)

machine learning

Cunningham, Stuart, Ridley, Harrison, Weinel, Jonathan ORCID logoORCID: https://orcid.org/0000-0001-5347-3897 and Picking, Richard (2021) Supervised machine learning for audio emotion recognition: enhancing film sound design using audio features, regression models and artificial neural networks. Personal and Ubiquitous Computing, 25. pp. 637-650. ISSN 1617-4909 (Print), 1617-4917 (Online) (doi:10.1007/s00779-020-01389-0)

Cunningham, Stuart, Ridley, Harrison, Weinel, Jonathan ORCID logoORCID: https://orcid.org/0000-0001-5347-3897 and Picking, Richard (2019) Audio emotion recognition using machine learning to support sound design. In: AM'19: Proceedings of the 14th International Audio Mostly Conference: A Journey in Sound. September 18 - 20, 2019. Association for Computing Machinery (ACM), New York, pp. 116-123. ISBN 9781450372978 (doi:10.1145/3356590.3356609)

sound design

Cunningham, Stuart, Ridley, Harrison, Weinel, Jonathan ORCID logoORCID: https://orcid.org/0000-0001-5347-3897 and Picking, Richard (2019) Audio emotion recognition using machine learning to support sound design. In: AM'19: Proceedings of the 14th International Audio Mostly Conference: A Journey in Sound. September 18 - 20, 2019. Association for Computing Machinery (ACM), New York, pp. 116-123. ISBN 9781450372978 (doi:10.1145/3356590.3356609)

This list was generated on Sun Dec 22 14:23:56 2024 UTC.