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Outputs (4215)

12/12/2024 - Burnley College Zine Workshop (2024)
Dataset
Poliah, K., & Munslow Ong, J. (2024). 12/12/2024 - Burnley College Zine Workshop. [Dataset]. https://doi.org/10.17866/rd.salford.27991643

Zine Workshop delivered by Keren Poliah and Noah Singh-Harris at Burnley College

Teachers - 3 [each staying for short intervals as there was an ongoing event at the college]

Students - 21

Data collected: Questionnaires and Postcards

05/12/24 - Blackburn National College Podcast (2024)
Dataset
Poliah, K., & Munslow Ong, J. (2024). 05/12/24 - Blackburn National College Podcast. [Dataset]. https://doi.org/10.17866/rd.salford.27991640.v1

National College Podcast 'Studying English'



Visit by Keren Poliah accompanied by Jimmy Ewing's student Sophie Hollis

Students - 6

Teacher - 1

Data collected: postcards and questionnaires

American Studies: Then and Now (2024)
Presentation / Conference
Holmes, L. P., & Hussain, H. (2024, December). American Studies: Then and Now

The seminar considered American Studies’ long understanding that histories and historiographies of American society and culture represent an attempt to impose an ordered narrative on its national origin story. In recasting its history to create and p... Read More about American Studies: Then and Now.

The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning (2024)
Journal Article
Dabike, G. R., Cox, T. J., Miller, A. J., M. Fazenda, B., Graetzer, S., R. Vos, R., …P. Barker, J. (2024). The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning. Data in Brief, 57, Article 111199. https://doi.org/10.1016/j.dib.2024.111199

This paper presents the Cadenza Woodwind Dataset. This publicly available data is synthesised audio for woodwind quartets including renderings of each instrument in isolation. The data was created to be used as training data within Cadenza's second o... Read More about The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learning.