METHODS AND APPARATUS RELATED TO CONTENT SHARING BETWEEN DEVICES

• US 20080290987A1
• Filed: 04/22/2008
• Published: 11/27/2008
• Est. Priority Date: 04/22/2007
• Status: Abandoned Application

• Current Assignee: Phone Through, Inc.
• Original Assignee: Phone Through, Inc.
• Inventors: Li, Lehmann
• Application Number:
  US12/107,649
• Publication Number:
  US 20080290987A1
• Time in Patent Office: Days
• US Class Current: 340/5.1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G08C 15/00 Arrangements characterised by the use of multiplexing for the transmission of a plurality of signals over a common path
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 25/00 Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 muting semiconductor-based amplifiers when some special characteristics of a signal are sensed by a speech detector, e.g. sensing when no signal is present, H03G3/34

Abstract

In one embodiment, a method includes receiving a signal from a communication device via a communication channel. The method also includes determining, based on the signal, a parameter value used for identification of a product of interest. A duration of the receiving is modified when a threshold condition is unsatisfied based on a probability value calculated based on the parameter value. The probability value is associated with identification of the product of interest.

Claims

1. A method, comprising:

establishing an audio communication channel with a device having an audio receiving component;

receiving via the audio communication channel a first audio signal defined based on a first sound acquired via the audio receiving component, the first sound being produced by a first source;

receiving via the audio communication channel a second audio signal defined based on a second sound not produced by the first source and produced outside of the device by a second source, the second sound being acquired via the audio receiving component; and

determining at least a portion of a user request based on the first audio signal and the second audio signal.

2. The method of claim 1, further comprising:

identifying a keyword based on the first audio signal; and

identifying at least one of a media operator or a media program based on the second audio signal, the determining includes determining based on the keyword and based on the identifying associated with the at least one of the media operator or the media program.

3. The method of claim 1, further comprising modifying the audio communication channel in response to the determining.

4. The method of claim 1, further comprising terminating the audio communication channel in response to the determining.

5. The method of claim 1, further comprising terminating the audio communication channel when a probability of accurately performing the determining satisfies a threshold condition.

6. The method of claim 1, further comprising terminating the audio communication channel when the determining satisfies a threshold condition associated with at least one of a false positive rate or a false negative rate.

7. The method of claim 1, further comprising receiving, via the audio communication channel, data defined using the device, the determining includes determining based on the data.

8. The method of claim 1, wherein the device is a first media processing device, the second sound is produced by a second media processing device.

9. The method of claim 1, wherein the user request is a request for information related to a product, the first source is a user of the device, the device is a wireless device.

10. A method, comprising:

receiving a first portion of a signal from a communication device via a communication channel;

determining, based on the first portion of the signal, a parameter value used for identification of a product of interest;

calculating a probability value associated with identification of the product of interest based on the parameter value; and

receiving a second portion of the signal when a threshold condition is unsatisfied based on the probability value.

11. The method of claim 10, wherein the calculating includes calculating a first probability value at a first time, the parameter value is a first parameter value,

the method further comprising:

determining, based on the second portion of the signal, a second parameter value used for identification of the product of interest; and

calculating a second probability value at a second time based on the first parameter value and the second parameter value.

12. The method of claim 10, further comprising:

terminating the communication channel when the threshold condition is satisfied based on the second probability value.

13. The method of claim 10, wherein the signal is an audio signal defined using a microphone associated with the communication device, the communication channel is an audio communication channel.

14. A method, comprising:

receiving a signal from a communication device via a communication channel;

determining, based on the signal, a parameter value used for identification of a product of interest;

modifying a duration of the receiving when a threshold condition is unsatisfied based on a probability value calculated based on the parameter value, the probability value being associated with identification of the product of interest.

15. The method of claim 14, wherein the signal is an audio signal defined using a microphone associated with the communication device, the communication channel is an audio communication channel.

16. The method of claim 14, wherein the communication device is a wireless device.

17. The method of claim 14, wherein the modifying includes increasing.

18. The method of claim 14, wherein the modifying includes terminating.

19. The method of claim 14, wherein the communication channel is automatically established via an application installed at the communication device.

20. A method, comprising:

receiving from a wireless device a signal defined in response to an input by a user of the wireless device;

determining a keyword based on the signal; and

determining, with reference to a metadata database, an identifier associated with a product based on the keyword, the identifier being different than the keyword.

21. The method of claim 20, wherein the input is a sound produced by the user.

22. A method, comprising:

receiving a request from a user, the user defining the request in response to a transmission of at least one of an advertisement of interest or a media program of interest;

identifying a media operator associated with the transmission of the at least one of the advertisement or the media program of interest in response to the request; and

identifying the at least one of the advertisement of interest or the media program of interest based on the identifying of the media operator.

23. The method of claim 22, wherein the identifying includes identifying the media operator from a plurality of rank ordered media operators.

24. The method of claim 22, wherein the identifying the media operator includes identifying based on a rank ordering defined using an equation that is a function of at least two of user generated identification data, media program probability data, media program identification data, and media operator identification data.

25. The method of claim 22, wherein the at least one of the advertisement of interest or the media program of interest includes identifying based on a rank ordering defined using an equation that is a function of at least two of a keyword data, a time associated with the transmission, a user profile data, and a duration of the transmission.

26. The method of claim 22, wherein the identifying the media operator includes identifying based on extrinsic parameter values.

27. The method of claim 22, wherein the identifying the media operator includes identifying based on a probability condition.

28. The method of claim 22, wherein the transmission is completed at a first time, the identifying the media operator is triggered at a second time after the first time.

29. The method of claim 22, wherein the request is related to at least one of a data or an action unrelated to the transmission.

30. A method, comprising:

receiving an indicator that a user request has been defined;

receiving an observable variable value associated with the user request, the observable variable being at least one of acquired by an electronic device or defined by the electronic device;

receiving a plurality of non-observable variable values; and

determining a probability value indicating a probability that a non-observable variable from the plurality of non-observable variable values stimulated the user request, the determining includes determining based on a Bayesian network that includes the observable variable and the plurality of non-observable variable values.

31. The method of claim 30, further comprising:

calculating a plurality of probability values associated with the plurality of non-observable variables based on the Bayesian network, the probability value being included in the plurality of probability values;

selecting the non-observable variable based on a rank-ordering of the probability values; and

sending a notification in response to the selecting.

32. The method of claim 30, wherein the non-observable variable is associated with at least one of a transmission of at least one of an advertisement or a media program.

33. The method of claim 30, wherein the non-observable variable is associated with a non-advertisement stimulus.

34. The method of claim 30, wherein the observable variable is at least one of defined within the user request, a fingerprint defined based on at least one of an advertisement or a media program, or a user profile parameter value.

35. A method, comprising:

receiving from a wireless device a signal acquired at the wireless device;

determining that the signal is substantially similar to a fingerprint signature accessed from a database that includes a plurality of fingerprint signatures; and

calculating a plurality of probability values associated with a plurality of events based on a Bayesian network that includes the plurality of events and based on the determining that the signal is substantially similar to the fingerprint signature, each event from the plurality of events being associated with at least one of a location from which or a time that a request is transmitted from the wireless device.

36. The method of claim 35, wherein the calculating is based on a prior probability value associated with an observable variable associated with the request.

37. The method of claim 35, further comprising calculating a conditional probability value associated with at least one event from the plurality of events based on an observable variable associated with the request, the calculating associated with the plurality of probability values is based on the conditional probability value.

38. The method of claim 35, further comprising selecting an event from the plurality of events based on a rank-ordering of the plurality of probability values.

39. A method, comprising:

receiving a request for information associated with a product from a first media device, the request being triggered by a user of the first media device;

receiving a record of a transmission sent to a second media device, the transmission being associated with at least one media operator; and

determining a set of events having a probability of stimulating the user to trigger the request based on the record of the transmission.

40. The method of claim 39, further comprising:

determining at least one of a hidden media operator or a hidden media operator sequence based on an observable parameter value, the determining associated with the set of events is based on the determining associated with the at least one of a hidden media operator or the hidden media operator sequence.

41. The method of claim 40, wherein the determining associated with the at least one of the hidden media operator or the hidden media operator sequence is based on a hidden Markov model.

42. The method of claim 39, wherein at least one event from the set of events is an advertisement associated with the at least one media operator.

43. The method of claim 39, wherein at least one event from the set of events is a media program associated with the at least one media operator.