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 audio characteristic in audio; a transition detector to detect a transition between a first category and a second 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 first category and the second category; and a context manager to control a device to switch from a first fingerprinting algorithm to a second fingerprinting algorithm different than the first fingerprinting algorithm, responsive to the detected transition between the first category and the second 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 first category and a second 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 first category and the second category; and
a context manager to control a device to reduce a rate of audio classification requests responsive to the detected transition between the first category and the second category.
2. The apparatus of claim 1 , wherein the transition detector is configured to detect the transition between the first category and the second 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 configured to detect the transition between the first category and the second 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 configured to detect the transition between the first category and the second category based on an increase in the audio characteristic value.
5. The apparatus of claim 1 , wherein the transition detector is configured to detect the transition between the first category and the second category based on a decrease in the audio characteristic value.
6. The apparatus of claim 1 , wherein the context manager is configured to control the device to switch from a first fingerprinting algorithm to a second fingerprinting algorithm different than the first fingerprinting algorithm, responsive to the detected transition between the first category and the second category.
7. The apparatus of claim 1 , wherein the context manager is configured to select the threshold value based on a context corresponding to the obtaining of the audio.
8. The apparatus of claim 1 , wherein the context manager is configured 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.
9. The apparatus of claim 1 , wherein the first category is a music category and the second category is a talk category.
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 first category and a second 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 first category and the second category; and
control a device to initiate extracting fingerprints responsive to the detected transition between the first category and the second 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 first category and the second 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 first category and the second 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 first category and the second 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 first category and the second 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 control the device to switch from a first fingerprinting algorithm to a second fingerprinting algorithm different than the first fingerprinting algorithm, responsive to the detected transition between the first category and the second category.
16. 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.
17. 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.
18. The machine-readable storage medium of claim 10 , wherein the first category is a music category and the second category is a talk category.
19. A method comprising:
determining, by executing an instruction using one or more processors, an audio characteristic in audio, the audio characteristic being represented by an audio characteristic value;
detecting, by executing an instruction using the one or more processors, a transition between a first category and a second 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 first category and the second category; and
controlling, by executing an instruction using the one or more processors, a device to reduce a rate of audio classification requests responsive to the detected transition between the first category and the second category.
20. The method of claim 19 , wherein the detecting of the transition between the first category and the second 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.