Machine-control of a device based on machine-detected transitions
Apparatus, methods, and systems that operate to provide interactive streaming content identification and processing are disclosed. An example apparatus includes a classifier to determine an audio characteristic value representative of an characteristic; a transition detector to detect a transition between a music category and a talk category by comparing the audio characteristic value to a threshold value among a set of threshold values, the set of threshold values corresponding to the music category and the talk category; and a context manager to control a device to initiate extraction of fingerprints, responsive to the detected transition between the music category and the talk category.
1. An apparatus comprising:
a classifier to determine an audio characteristic value representative of an audio characteristic in audio;
a transition detector to detect a transition between a music category and a talk category by comparing the audio characteristic value to a threshold value among a set of threshold values, the set of threshold values corresponding to the music category and the talk category; and
a context manager to control a device to initiate extraction of fingerprints, responsive to the detected transition between the music category and the talk category.
2. The apparatus of claim 1 , wherein the transition detector is to detect the transition between the music category and the talk category by detecting an increase in the audio characteristic based on the comparing of the audio characteristic value to the threshold value.
3. The apparatus of claim 1 , wherein the transition detector is to detect the transition between the music category and the talk category by detecting a decrease in the audio characteristic based on the comparing of the audio characteristic value to the threshold value.
4. The apparatus of claim 1 , wherein the transition detector is to detect the transition between the music category and the talk category based on an increase in the audio characteristic value.
5. The apparatus of claim 1 , wherein the transition detector is to detect the transition between the music category and the talk category based on a decrease in the audio characteristic value.
6. The apparatus of claim 1 , wherein the context manager is to control the device based on the detected transition by selecting a fingerprinting algorithm responsive to the detected transition between the music category and the talk category.
7. The apparatus of claim 1 , wherein the context manager is to control the device based on the detected transition by reducing a rate of audio classification requests in response to the detected transition between the music category and the talk category.
8. The apparatus of claim 1 , wherein the context manager is to select the threshold value based on a context corresponding to the obtaining of the audio.
9. The apparatus of claim 1 , wherein the context manager is to drop portions of the audio based on a context corresponding to the obtaining of the audio by:
puncturing the audio over selected ranges of frequency; and
detecting the transition in the punctured audio.
10. A non-transitory machine-readable storage medium comprising instructions that, when executed, cause one or more processors to at least:
determine an audio characteristic in audio, the audio characteristic being represented by an audio characteristic value;
detect a transition between a music category and a talk category by comparing the audio characteristic value to a threshold value among a set of threshold values, the set of threshold values corresponding to different categories in a set of categories including the music category and the talk category; and
control a device to initiate extracting fingerprints responsive to the detected transition between the music category and the talk category.
11. The machine-readable storage medium of claim 10 , wherein the instructions cause the one or more processors to detect the transition between the music category and the talk category by detecting an increase in the audio characteristic in the audio based on the comparing of the audio characteristic value to the threshold value.
12. The machine-readable storage medium of claim 10 , wherein the instructions cause the one or more processors to detect the transition between the music category and the talk category by detecting a decrease in the audio characteristic in the audio based on the comparing of the audio characteristic value to the threshold value.
13. The machine-readable storage medium of claim 10 , wherein the instructions cause the one or more processors to detect the transition between the music category and the talk category by identifying the transition based on an increase in the audio characteristic value.
14. The machine-readable storage medium of claim 10 , wherein the instructions cause the one or more processors to detect the transition between the music category and the talk category by identifying the transition based on a decrease in the audio characteristic value.
15. The machine-readable storage medium of claim 10 , wherein the instructions cause the one or more processors to control the device based on the detected transition by selecting a fingerprinting algorithm responsive to the detected transition between the music category and the talk category.
16. The machine-readable storage medium of claim 10 , wherein the instructions cause the one or more processors to control the device based on the detected transition by reducing a rate of audio classification requests in response to the detected transition between the music category and the talk category.
17. The machine-readable storage medium of claim 10 , wherein the instructions cause the one or more processors to select the threshold value based on a context corresponding to the obtaining of the audio.
18. The machine-readable storage medium of claim 10 , wherein the instructions cause the one or more processors to drop portions of the audio based on a context corresponding to the obtaining of the audio by:
puncturing the audio over selected ranges of frequency; and
detecting the transition in the punctured audio.
19. A method comprising:
determining, by executing an instruction with one or more processors, an audio characteristic in audio, the audio characteristic being represented by an audio characteristic value;
detecting, by executing an instruction with the one or more processors, a transition between a music category and a talk category by comparing the audio characteristic value to a threshold value among a set of threshold values, the set of threshold values corresponding to different categories in a set of categories including the music category and the talk category; and
controlling, by executing an instruction with the one or more processors, a device to initiate extracting fingerprints responsive to the detected transition between the music category and the talk category.
20. The method of claim 19 , wherein the detecting of the transition between the music category and the talk category includes detecting an increase in the audio characteristic in the audio based on the comparing of the audio characteristic value to the threshold value.