BBC R&D

Katy Noland

Katy Noland

Katy is part of the Broadcast and Connected Systems section, and specialises in how the human visual system perceives digital video, with applications in video format specification and conversion.

She graduated from the Tonmeister course in Music and Sound Recording at the University of Surrey in 2003. She went on to receive an MSc in Digital Signal Processing from Queen Mary University of London, and joined the Centre for Digital Music there to study for a PhD in automatic analysis of tonal harmony, which she received in 2009. In 2006 she also became a teaching fellow in the Department of Electronic Engineering at Queen Mary, teaching audio and video signal processing. After 6 months as a visiting researcher at a leading consumer electronics manufacturer, Katy joined BBC Research and Development in 2011.

Publications with BBC R&D

K. C. Noland and L. H. Truong, “A Survey of UK Television Viewing Conditions,” BBC R&D White Paper 287, January 2015.

K. C. Noland, “High Frame Rate Television: Sampling Theory, the Human Visual System, and why the Nyquist-Shannon Theorem doesn’t Apply”, in IBC Conference, Amsterdam, The Netherlands, September 2014.

K. C. Noland, “The Application of Sampling Theory to Television Frame Rate Requirements,” BBC R&D White Paper 282, July 2014.

K. C. Noland, "Optimal Interlacing using Human Sensitivity Measurements," in Proc. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, Uxbridge, UK, June 2013.

K. C. Noland, “Measurement of Human Sensitivity Across the Vertical-Temporal Video Spectrum for Interlacing Filter Specification,” BBC R&D White Paper 230, August 2012.

K. Noland, “Measurement of Human Sensitivity Across the Vertical-Temporal Video Spectrum for Interlacing Filter Specification,” in Proc. IEEE International Conference on Multimedia and Expo (ICME), Melbourne, Australia, July 2012.

Earlier Publications

K. C. Noland, "Computational Tonality Estimation: Signal Processing and Hidden Markov Models," PhD Thesis, Queen Mary University of London, 2009.

M. Mauch, K. Noland and S. Dixon, "Using Musical Structure to Enhance Automatic Chord Transcription," in Proc. 10th International Society for Music Information Retrieval Conference (ISMIR), Kobe, Japan, 2009.

M. Mauch, K. Noland and S. Dixon, "MIREX Submissions for Audio Chord Detection (No Training) and Structural Segmentation," Submission to the Music Information Retrieval Evaluation eXchange (MIREX), 2009.

K. Noland and M. B. Sandler, "Influences of Signal Processing, Tone Profiles, and Chord Progressions on a Model for Estimating the Musical Key from Audio," in Computer Music Journal 33(1): 42-56, 2009.

M. Levy, K. Noland and M. Sandler, "A Comparison of Timbral and Harmonic Music Segmentation Algorithms," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Honolulu, Hawaii, 2007.

K. Noland and M. Sandler, "Signal Processing Parameters for Tonality Estimation," in Proc. 122nd Convention of the Audio Engineering Society, Vienna, Austria, 2007.

K. Noland and M. B. Sandler, "Key Estimation Using a Hidden Markov Model," in Proc. 7th International Conference on Music Information Retrieval (ISMIR), Victoria, Canada, 2006.

S. A. Abdallah, K. Noland, M. B. Sandler, M. Casey and C. Rhodes, "Theory and Evaluation of a Bayesian Music Structure Extractor," in Proc. 6th International Conference on Music Information Retrieval (ISMIR), London, UK, 2005.

All activity (6)