The phrase "atypical sounds" is correct and usable in written English.
It can be used to describe sounds that are unusual or not typical in a given context, such as in music, nature, or everyday life.
Example: "The recording captured a variety of atypical sounds that intrigued the researchers studying animal communication."
Alternatives: "unusual noises" or "nonstandard sounds".
And, with the West African musicians on board, they bring in atypical sounds.
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Atypical sound events were randomly merged with background noise and tested for detection.
Two series of experiments were conducted for atypical sound event detection under metro station and urban environment.
(a) As mentioned above, a central concern for many researchers will be how identifiable a sound is, while others may be interested in typical or atypical sound tokens.
Atypical sound events were artificially merged with highly non-stationary background noise of the under study environment for simulating abnormal situations and conducting detection experiments.
Atypical sound events are detected with relatively low EERs across all SNR values when the audio signal is corrupted by urban background environmental noise.
Subsequently we build up models regarding normal speech, screamed speech, typical background environment and atypical sound events (including explosion and gunshot).
Basically we removed single frame detections (outliers) which correspond to 200 milliseconds and do not comprise a logical duration regarding to atypical sound events.
In the particular type of problems there exist two kinds of errors that one should be aware of and try to minimize: (i) the case where an atypical sound event is present but it is not identified and (ii) the case where an atypical sound event is not present but it is falsely detected.
Events are merged with urban noise under different SNRs. Figure 3 depicts results of atypical sound event detection for all three different sound categories under metro station background environment.
