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Interestingly, ILD-based grouping can be much less robust when there are multiple interfering sounds.
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Incoherent addition of summing multiple interfering signals is assumed.
The models can analyze multiple interfering signals under different fading scenarios.
CNR enhancement in the presence of multiple interfering processes using linear filters.
The results obtained can be extended to multiple interfering users by using laguerre polynomials to approximate the multiple integration resulting from the multiple interfering users.
Clearly, the two scalar products representing the ICI in (42) are constituted of multiple interfering signals.
Such systems use detection and classification algorithms to detect and distinguish the target calls from background noise and interfering sounds.
Many factors that influence (un masking of speech have been discussed by Bronkhorst (2000); the most relevant are the type of target speech, spectral differences between target and interfering sounds, the spatial configuration of the sound sources, fluctuations in level (modulations) of the interfering sounds, the acoustics of the environment, and hearing impairment of the listener.
For example (see also Table 1 in Bronkhorst, 2000), spatial separation of sound sources and level fluctuations of interfering sounds can each cause positive effects (SRT reductions) of up to 10 dB.
The models described above can account for effects of interfering sounds and reverberation but do not predict the gain resulting from binaural listening.
When target and interfering sounds were both presented from the front, the "noise" had much less effect on intelligibility than the speech interference did.
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