A Model of Distraction in an Audio-on-Audio Interference Situation with Music Program Material

Francombe, Jon; Mason, Russell; Dewhirst, Martin; Bech, Søren

doi:10.17743/jaes.2015.0006

Cited by 10 publications

(10 citation statements)

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“…This allowed the authors to categorise specific positive and negative traits in their devised system. Other works in the field have utilised qualitative processes to identify salient features in audio distractors [46] or to validate the design of sound synthesis techniques [47].…”

Section: Results: Qualitative Measuresmentioning

confidence: 99%

Subjective Evaluation of Music Compressed with the ACER Codec Compared to AAC, MP3, and Uncompressed PCM

Cunningham

McGregor

2019

International Journal of Digital Multimedia Broadcasting

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Audio data compression has revolutionised the way in which the music industry and musicians sell and distribute their products. Our previous research presented a novel codec named ACER (Audio Compression Exploiting Repetition), which achieves data reduction by exploiting irrelevancy and redundancy in musical structure whilst generally maintaining acceptable levels of noise and distortion in objective evaluations. However, previous work did not evaluate ACER using subjective listening tests, leaving a gap to demonstrate its applicability under human audio perception tests. In this paper, we present a double-blind listening test that was conducted with a range of listeners (N=100). The aim was to determine the efficacy of the ACER codec, in terms of perceptible noise and spatial distortion artefacts, against de facto standards for audio data compression and an uncompressed reference. Results show that participants reported no perceived differences between the uncompressed, MP3, AAC, ACER high quality, and ACER medium quality compressed audio in terms of noise and distortions but that the ACER low quality format was perceived as being of lower quality. However, in terms of participants’ perceptions of the stereo field, all formats under test performed as well as each other, with no statistically significant differences. A qualitative, thematic analysis of listeners’ feedback revealed that the noise artefacts that produced the ACER technique are different from those of comparator codecs, reflecting its novel approach. Results show that the quality of contemporary audio compression systems has reached a stage where their performance is perceived to be as good as uncompressed audio. The ACER format is able to compete as an alternative, with results showing a preference for the ACER medium quality versions over WAV, MP3, and AAC. The ACER process itself is viable on its own or in conjunction with techniques such as MP3 and AAC.

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Section: Results: Qualitative Measuresmentioning

confidence: 99%

Subjective Evaluation of Music Compressed with the ACER Codec Compared to AAC, MP3, and Uncompressed PCM

Cunningham

McGregor

2019

International Journal of Digital Multimedia Broadcasting

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“…This section describes the original distraction model implemented by Francombe et al (Francombe, 2014;Francombe and Baykaner, 2017;Francombe et al, 2013Francombe et al, , 2015 and the modified version of that model, capable of real-time processing, developed by R€ am€ o et al (2017a).…”

Section: Perceptual Distraction Modelsmentioning

confidence: 99%

“…The distraction model (Francombe, 2014;Francombe and Baykaner, 2017;Francombe et al, 2013Francombe et al, , 2015 was trained to predict the distraction that users experience, when they are in an environment with two competing audio sources. The training setup consisted of two loudspeakers, one for the target audio, which the user was concentrating on, and one for the competing, interfering sound.…”

Section: A Original Distraction Modelmentioning

confidence: 99%

“…Motivated by the elicitation study, Francombe et al developed a perceptual model aimed at predicting the experienced distraction occurring in audio-on-audio interference situations (Francombe, 2014;Francombe and Baykaner, 2017;Francombe et al, 2013Francombe et al, , 2015. The model was originally trained by using a simple loudspeaker setup, consisting of only two loudspeakers, while at the same time considering that one of the main applications for the model would be the evaluation of sound-zone systems.…”

Section: Introductionmentioning

confidence: 99%

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Validating a real-time perceptual model predicting distraction caused by audio-on-audio interference

Rämö

Bech

Jensen

2018

The Journal of the Acoustical Society of America

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This work concentrates on validating a real-time perceptual model predicting distraction caused by audio-on-audio interference. The real-time model was recently developed on the basis of another successfully validated, perceptual distraction model, which is not able to calculate predictions in real time. Both models are non-blind, i.e., their inputs take target and interferer signals separately. This paper describes a validation experiment for the real-time distraction model, which compares the model's predictions to subjective distraction ratings obtained from a listening experiment. The accuracy of the real-time model is also compared to that of the original distraction model. The calculated root-mean-squared errors for a speech zone and a music zone were 10.2% and 12.6% for the real-time model, respectively, compared to 11.3% and 11.5% for the original model. The results indicate that the real-time model is able to predict the distraction with similar accuracy as the original model, and thus, is a suitable tool for sound-zone evaluation. Furthermore, the real-time capability of the model is considered to be vital for certain applications, including the evaluation of adaptive sound zones.

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“…As will be shown, it does not reflect the isolation performance of other rendering modes, where multichannel programs with different inter-channel correlations (e.g., stereo and binaural programs 17 ) are specified as input. In addition, while AC represents the isolation between sound zones, it does not give a measure of the level difference between programs in the same zone, which is more relevant to the the listener's perception of audio-on-audio interference 10,11,18 (excluding psychoacoustic masking effects).…”

Section: Introductionmentioning

confidence: 99%

Isolation performance metrics for personal sound zone reproduction systems

Qiao

Léo²,

Choueiri

2022

JASA Express Letters

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Two isolation performance metrics, inter-zone isolation (IZI) and inter-program isolation (IPI), are introduced for evaluating personal sound zone (PSZ) systems. Compared to the commonly used acoustic contrast metric, IZI and IPI are generalized for multichannel audio and quantify the isolation of sound zones and of audio programs, respectively. The two metrics are shown to be generally non-interchangeable and suitable for different scenarios, such as generating dark zones (IZI) or minimizing audio-on-audio interference (IPI). Furthermore, two examples with free-field simulations are presented and demonstrate the applications of IZI and IPI in evaluating PSZ performance in different rendering modes and PSZ robustness.

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A Model of Distraction in an Audio-on-Audio Interference Situation with Music Program Material

Cited by 10 publications

References 0 publications

Subjective Evaluation of Music Compressed with the ACER Codec Compared to AAC, MP3, and Uncompressed PCM

Subjective Evaluation of Music Compressed with the ACER Codec Compared to AAC, MP3, and Uncompressed PCM

Validating a real-time perceptual model predicting distraction caused by audio-on-audio interference

Isolation performance metrics for personal sound zone reproduction systems

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