Abstract
Spatial impulse response analysis techniques are commonly used in the field of acoustics, as they help to characterise the interaction of sound with an enclosed environment. This paper presents a novel approach for spatial analyses of binaural impulse responses, using a binaural model fronted neural network. The proposed method uses binaural cues utilised by the human auditory system, which are mapped by the neural network to the azimuth direction of arrival classes. A cascade-correlation neural network was trained using a multi-conditional training dataset of head-related impulse responses with added noise. The neural network is tested using a set of binaural impulse responses captured using two dummy head microphones in an anechoic chamber, with a reflective boundary positioned to produce a reflection with a known direction of arrival. Results showed that the neural network was generalisable for the direct sound of the binaural room impulse responses for both dummy head microphones. However, it was found to be less accurate at predicting the direction of arrival of the reflections. The work indicates the potential of using such an algorithm for the spatial analysis of binaural impulse responses, while indicating where the method applied needs to be made more robust for more general application.
Highlights
A Binaural room impulse response (BRIR) is a measurement of the response of a room to an excitation from an impulsive sound
This paper presents a novel approach for the spatial analysis of two-channel BRIRs, using a binaural model fronted neural networks (NNs) to estimate the azimuthal direction of arrival for the direct sound and reflected components of the BRIRs
A baseline method used as a reference to compare results obtained from the NN can be derived from the interaural time difference (ITD) equation (Equation (8) taken from [37]) rearranged for calculating the direction of arrival (DoA), ITD =
Summary
A Binaural room impulse response (BRIR) is a measurement of the response of a room to an excitation from an (ideally) impulsive sound. The BRIR is uniquely defined by the location, shape and acoustic properties of reflective surfaces, together with the source and receiver position and orientation. Through the use of convolution, the reverberant characteristics of the room, as captured within the BRIR, can be imparted onto other audio signals, giving the perception of listening to that audio signal as if it were recorded in the BRIR measurement position. This technique for producing artificial reverberation has numerous
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
