View a full list of Prof. Ali-MacLachlan's publications by visiting his .
Ali-MacLachlan, I., Crawford, J. and Hall, S. (2024). An Internet of sounds based method for acoustic profiling of rooms and audio spaces. Presented at Reproduced Sound 2024: Institute of Acoustics Conference, Bristol, UK, November 2024
Cheshire, M., Smith, S. and Ali-MacLachlan, I., (2024) Automatic corrective EQ for measurement microphone emulation. Proceedings of the AES Convention, New York, USA
Harvey, C., Colombo, M., West, B., Happa, J. and Ali-MacLachlan, I. (2025, TBC) 鈥業mmersive Acoustics in Cultural Heritage Applications鈥� in Liarokapis, F. et al. (eds) Interactive Media for Cultural Heritage. Cham: Springer, pp. TBC
Moore, G., West, B. and Ali-MacLachlan, I. (2024) The Historical Auralisation of Lichfield Cathedral鈥檚 Quire. Proceedings of the Institute of Acoustics Annual Conference and Exhibition, ACOUSTICS 2024. Manchester.
Ali Maclachlan, I.,(2024), Analysing Stylistic Expression in Irish
West, B.J., Deuchars, A.M., & Ali-MacLachlan, I., (2024). Office soundscape assessment: A model of acoustic environment perception in open-plan offices. Journal of the Acoustic Society of America (JASA)
Wilson, W., Granieri, N., & Ali-MacLachlan, I., (2023). Ubiquitous multimodality as a tool in violin performance classification. In Proceedings of the 4th International Symposium on the Internet of Sounds, Pisa, Italy, pp. 1-8.
West, B.J., Ali-MacLachlan, I., & Deuchars, A.M., (2023). An in-situ investigation of office soundscape perceptual evaluation methodologies. Acoustics 2023: Institute of Acoustics Annual Conference, Winchester, UK.
Wilson, W., Granieri, N., & Ali-MacLachlan, I., (2023). Time鈥檚 up for the Myo? - The smartwatch as an alternative for audio gestural analyses. In Proceedings of the New Interfaces for Musical Expression (NIME), Mexico City, Mexico.
Wilson, W., Ali-MacLachlan, I., & Granieri, N., (2022). Combining gestural and audio approaches to the classification of violin bow strokes. In Proceedings of the 10th International Workshop on Folk Music Analysis (FMA), Sheffield, UK.
Xiao, J., Aletta, F., & Ali-MacLachlan, I., (2022). On the opportunities of the soundscape approach to revitalise acoustics training in undergraduate architectural courses.聽 14(4), p.1957.
Ali-MacLachlan, I., Hunt, E., & Jamieson, A., (2020). Player recognition for traditional Irish flute recordings using K-Nearest Neighbour classification. In Proceedings of the 2nd International Conference on Timbre, Thessaloniki, Greece.
K枚k眉er, M., Ali-MacLachlan, I., Kearney, D. and Jan膷ovi膷, P., 2019. Curating and annotating a collection of traditional Irish flute recordings to facilitate stylistic analysis. International Journal on Digital Libraries, 20, pp.107-121.
Ali-MacLachlan, I., Southall, C., Tomczak, M., & Hockman, J., (2018). Player recognition for traditional Irish flute recordings. In Proceedings of the 8th International Workshop on Folk Music Analysis (FMA), Thessaloniki, Greece.
Ali-MacLachlan, I., Southall, C., Tomczak, M., & Hockman, J., (2017). Improved onset detection for traditional Irish flute recordings using convolutional neural networks. In Proceedings of the 7th International Workshop on Folk Music Analysis (FMA), Malaga, Spain.
Ali-MacLachlan, I., Tomczak, M., Southall, C., & Hockman, J., (2016). Note, cut and strike detection for traditional Irish flute recordings. In Proceedings of the 6th International Workshop on Folk Music Analysis (FMA), Dublin, Ireland.
Ali-MacLachlan, I., K枚k眉er, M., Athwal, C., & Jancovic, P., (2015). Towards the identification of Irish traditional flute players from commercial recordings. In Proceedings of the 5th International Workshop on Folk Music Analysis (FMA), Paris, France.
K枚k眉er, M., Jancovic, P., Ali-MacLachlan, I., & Athwal, C., (2014). Automated detection of single-and multi-note ornaments in Irish traditional flute playing. In Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR), Taipei, Taiwan, pp. 15-20.
Ali-MacLachlan, I., K枚k眉er, M., Jancovic, P., Williams, I., & Athwal, C., (2013). Quantifying timbral variations in traditional Irish flute playing. In Proceedings of the 3rd International Workshop on Folk Music Analysis (FMA), Amsterdam, Netherlands.
