Dr Moore is interested in microphone array signal processing and its applications, especially in the context of reverberant speech enhancement and sound scene awareness.
Exploiting motion in speech enhancement for head-worn microphone arrays. Funding: Reality Labs Research
Binaural hearing aids
Developing virtual reality tools for evaluating real-time hearing aid algorithms with listener in the loop. Funding: EPSRC EP/S035842/1
Environment-aware speech enhancement for binaural hearing aids. Funding: EPSRC EP/M026698/1
Sound scene awareness and dereverberation using spherical harmonic processing of spherical and near-spherical microphone arrays. Funding: EU FP7/2007-2013
Reverberation estimation and linear prediction-based methods for real-time dereverberation in voice over IP applications. Funding: Google
Room identification and room geometry inference. Part of a wider project on audio forensics for law enforcement application. Funding: UK Home Office
Dr Moore obtained the MEng degree in Electronic Engineering with Music Technology Systems (1st class with distinction) from the University of York in 2005. His final year project (master's thesis) was undertaken at Kungliga Technica Hogskolan in Stockholm where he worked in the Department of Speech, Music and Hearing. Following this he worked on room acoustic modelling using time domain methods as a Research Assistant at the University of York.
Dr Moore's PhD studies were in the field of binaural hearing and the long-standing problem of in-head localisation of auditory images, which is commonly experienced during headphone listening. The project, funded by France Telecom R&D, developed and validated a crosstalk cancellation system suitable for delivering high quality individualised binaral stimuli to listeners without the need for headphones.
Before returning to academia Dr Moore spent three years as a Hardware Design Engineer at Pure developing digital radio and network audio systems for the consumer electronics market.
et al., 2019, Personalized signal-independent beamforming for binaural hearing aids, Journal of the Acoustical Society of America, Vol:145, ISSN:0001-4966, Pages:2971-2981
et al., 2019, Noise covariance matrix estimation for rotating microphone arrays, Ieee/acm Transactions on Audio, Speech and Language Processing, Vol:27, ISSN:2329-9290, Pages:519-530
Moore AH, Evers C, Naylor PA, 2016, Direction of Arrival Estimation in the Spherical Harmonic Domain using Subspace Pseudo-Intensity Vectors, Ieee/acm Transactions on Audio, Speech, and Language Processing, Vol:25, ISSN:2329-9290, Pages:178-192
et al., 2016, Estimation of room acoustic parameters: the ACE challenge, Ieee Transactions on Audio Speech and Language Processing, Vol:24, ISSN:2329-9290, Pages:1681-1693