Dr Moore is interested in microphone array signal processing and its applications, especially in the context of reverberant speech enhancement and sound scene awareness.
Recent projects have included:
Binaural hearing aids: Environment-aware speech enhancement for binaural hearing aids (EPSRC project: EP/M026698/1).
Robot audition - Sound scene awareness and dereverberation using spherical harmonic processing of spherical and near-spherical microphone arrays (EU project: FP7/2007-2013)
Speech dereverberation for Chrome media (Google) - Industrially funded project investigating reverberation estimation and linear prediction-based methods for real-time dereverberation in voice over IP applications.
Room identification and geometry inference - Part of a wider project on audio forensics for law enforcement application (CLEAR)
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.
Moore A, Peso Parada P, Naylor P, 2017, Speech enhancement for robust automatic speech recognition: Evaluation using a baseline system and instrumental measures, Computer Speech and Language, Vol:46, ISSN:0885-2308, Pages:574-584
Moore AH, Evers C, Naylor PA, 2017, Direction of Arrival Estimation in the Spherical Harmonic Domain Using Subspace Pseudointensity 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-acm Transactions on Audio Speech and Language Processing, Vol:24, ISSN:2329-9290, Pages:1681-1693