5. A method, comprising: receiving a first instance of audio data representing a first sound; determining that, within a temporal window, a plurality of additional instances of audio data representing the first sound are also received; determining a number of the instances of audio data representing the first sound that are received within the temporal window; determining that the number of the instances is greater than a threshold value; based at least in part on a determination that the number of the instances is greater than the threshold value, generating a first sound profile of the first sound; storing the first sound profile; receiving second audio data representing a second sound; generating a second sound profile of the second sound; determining that a similarity value of the second sound profile and the first sound profile is greater than a similarity threshold value; and based at least in part on a determination that the similarity value is greater than the similarity threshold value, refraining from performing at least some automated speech recognition processing for the second audio data.
9. The method of claim 5 , further comprising: generating, prior to determining that the number of instances of audio data representing the first sound is greater than the threshold value, a first instance of text data representing the first sound; generating an additional plurality of instances of text data corresponding to the plurality of additional instances of audio data; determining a total number of counts corresponding to the first instance of the text data and the additional plurality of instances of the text data; and determining that the total number of counts occurring within the temporal window is greater than the threshold value.