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MUSHRA

Known as: ITU-R BS.1534-1 
MUSHRA stands for MUltiple Stimuli with Hidden Reference and Anchor and is a methodology for subjective evaluation of audio quality, to evaluate the… Expand
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2016
2016
Audio quality evaluation for audio material of intermediate and high quality requires expert listeners. In comparison to non… Expand
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2015
2015
Singing Voice Separation (SVS) is a task which uses audio source separation methods to isolate the vocal component from the… Expand
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2014
2014
Listening tests are widely used to assess the quality of audio systems. The majority of such listening tests is conducted in… Expand
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2012
2012
This paper presents a system for the subjective evaluation of audio, video and audiovisual quality. The system combines the well… Expand
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2012
2012
The transient modifier is a type of audio effect that changes the level of the transient parts in a musical signal while leaving… Expand
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2012
2012
Previous studies on performance evaluation of single-channel speech separation (SCSS) algorithms mostly focused on automatic… Expand
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2007
2007
The method described in the ITU-R BS.1534-1 standard, commonly known as MUSHRA (MUltiple Stimulus with Hidden Reference and… Expand
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2007
2007
In this paper we propose two novel methods for preserving the spatial information in source separation algorithms. Our approach… Expand
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2007
2007
This work investigates the effects of packet loss on perceived audio quality using an acceptability test, seeking to identify the… Expand
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2006
2006
Evaluating audio source separation algorithms means rating the quality or intelligibility of separated source signals. While… Expand
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