Sound Source Separation

This is the author's accepted pre-print of the article, first published as G. Evangelista, S. Marchand, M. D. Plumbley and E. Vincent. Sound source separation. In U. Zölzer (ed.), DAFX: Digital Audio Effects, 2nd edition, Chapter 14, pp. 551-588. John Wiley & Sons, March 2011. ISBN 9781119991298. DOI: 10.1002/9781119991298.ch14file: Proof:e\EvangelistaMarchandPlumbleyV11-sound.pdf:PDF owner: markp timestamp: 2011.04.26file: Proof:e\EvangelistaMarchandPlumbleyV11-sound.pdf:PDF owner: markp timestamp: 2011.04.2

Sonic autoethnographies: personal listening as compositional context

This article discusses a range of self-reflexive tendencies in field recording, soundscape composition and studio production, and explores examples of sonic practices and works in which the personal listening experiences of the composer are a key contextual and compositional element. As broad areas for discussion, particular attention is given to soundscape composition as self-narrative (exploring the representation of the recordist in soundscape works) and to producing the hyperreal and the liminal (considering spatial characteristics of contemporary auditory experience and their consequences for sonic practice). The discussion then focuses on the specific application of autoethnographic research methods to the practice and the understanding of soundscape composition. Compositional strategies employed in two recent pieces by the author are considered in detail. The aim of this discussion is to link autoethnography to specific ideas about sound and listening, and to some tendencies in field recording, soundscape composition and studio production, while also providing context for the discussion of the author’s own practice and works. In drawing together this range of ideas, methods and work, sonic autoethnography is aligned with an emerging discourse around reflexive, embodied sound work

Microphone array signal processing for robot audition

Robot audition for humanoid robots interacting naturally with humans in an unconstrained real-world environment is a hitherto unsolved challenge. The recorded microphone signals are usually distorted by background and interfering noise sources (speakers) as well as room reverberation. In addition, the movements of a robot and its actuators cause ego-noise which degrades the recorded signals significantly. The movement of the robot body and its head also complicates the detection and tracking of the desired, possibly moving, sound sources of interest. This paper presents an overview of the concepts in microphone array processing for robot audition and some recent achievements

Efficacy of Multichannel Audio Versus Stereo in Word Recall

This study reports on an experiment testing the efficacy of multichannel audio compared to stereo, or binaural, audio in terms of word recall. When asked to single out and recall words from multiple others, Subjects can focus on and recall no more than one at a time, and perform much worse when more than two words are played at once. Subjects recalled words with an accuracy of about 70%, and displayed increased caution and less confidence when presented with a complicated test prior to an easier one

Surround by Sound: A Review of Spatial Audio Recording and Reproduction

In this article, a systematic overview of various recording and reproduction techniques for spatial audio is presented. While binaural recording and rendering is designed to resemble the human two-ear auditory system and reproduce sounds specifically for a listener’s two ears, soundfield recording and reproduction using a large number of microphones and loudspeakers replicate an acoustic scene within a region. These two fundamentally different types of techniques are discussed in the paper. A recent popular area, multi-zone reproduction, is also briefly reviewed in the paper. The paper is concluded with a discussion of the current state of the field and open problemsThe authors acknowledge National Natural Science Foundation of China (NSFC) No. 61671380 and Australian Research Council Discovery Scheme DE 150100363

Multichannel Sound Perception and Learning

The aim of this paper is to introduce the natural abilities that humans have in the perception of multi channel audio environments, and explore ways that they can be utilized for comprehension and learning purposes. Background information about audio perception as a whole is explored to set up the foundation for this topic, and the potential increase in comprehension is demonstrated through two experiments related to multi channel audio. Recommendations for the implementation of these systems based on existing technologies and possibilities in the future are also explained to promote further research and development in the area