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Foreground sounds detection can be carried out as the departure from this BG model.
Thus, in the (unlikely) absence of any masking sounds, detection of breathing sounds could work over several tens of meters.
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An example is the hydrophone, which responds to waterborne sound waves and is useful in underwater sound detection.
This sound activity estimation enables sound detection.
We compare the novel sound detection and classification methods with other popular approaches.
Vacher et al. [9] presented a framework for sound detection and classification for medical telesurvey.
Using mid-range program run lengths also yields a sound detection rate.
Despite the interest shown in mixed sound detection in the recent years [11 13], it still remains a challenging problem.
The functional performance after cochlear implantation can vary between simple sound detection and very good speech intelligibility [42].
Results showed that tonal components in the low-frequency range were highly correlated with the sound detection.
We propose to apply optimized one-class support vector machines (1-SVMs) to tackle both sound detection and classification tasks in the sound recognition process.
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