Deep tagging background noises

1. A method for deep tagging a recording, the method comprising the steps of:

a computer filtering, from recorded audio of a communication between a plurality of participants, wherein the recorded audio comprises speech from one or more of the plurality of participants, a non-speech sound that was transmitted to the plurality of participants;

the computer automatically determining that the non-speech sound corresponds to a type of sound, and in response, automatically associating a descriptive term with a time of occurrence of the non-speech sound within the recorded audio to form a searchable tag, wherein the descriptive term includes a phonetic translation of the non-speech sound; and

the computer storing the searchable tag as metadata of the recorded audio.

2. The method of claim 1 , wherein the recorded audio is received in a plurality of separate media streams each from a separate electronic device.

3. The method of claim 1 , further comprising the computer receiving an input from one or more of the plurality of participants to assist in tagging the non-speech sound.

4. The method of claim 1 , wherein the communication is a teleconference.

5. The method of claim 1 , wherein the descriptive term comprises an identifier of a user of an electronic device from which the non-speech sound originated.

6. The method of claim 1 , wherein the step of automatically associating the descriptive term with the time of the occurrence of the non-speech sound within the recorded audio comprises the computer obtaining the descriptive term from a mapping between the type of sound and one or more descriptive terms.

7. The method of claim 1 , further comprising the steps of:

the computer determining that a sound occurring within the recorded audio has ceased at a point in time within the recorded audio; and

the computer creating a searchable tag associated with the point in time within the recorded audio indicating that the sound occurring within the recorded audio has ceased.

8. The method of claim 1 , further comprising the steps of:

the computer receiving a search query;

the computer matching the search query to the searchable tag; and

the computer responding to the search query with the recorded audio and an indication of the time of occurrence of the non-speech sound.

9. The method of claim 8 , wherein the step of matching the search query to the searchable tag comprises:

the computer identifying a type of sound associated with a search term of the search query;

the computer identifying a plurality of terms associated with the identified type of sound; and

the computer searching the recorded audio for a searchable tag matching a term from the plurality of terms.

10. The method of claim 1 , further comprising the steps of:

the computer receiving a search query;

the computer matching the search query to the searchable tag; and

the computer responding to the search query with a link to a location in the recorded audio corresponding to the time of occurrence of the non-speech sound.

11. The method of claim 1 , wherein the step of determining that the non-speech sound corresponds to a type of sound, further comprises, the computer determining that the type of sound is in a list of preferences indicating that the type of sound should be tagged.

12. A computer program product for deep tagging a recording, the computer program product comprising:

one or more computer-readable storage media; and

program instructions stored on at least one of the one or more computer-readable storage media, the program instructions comprising:

program instructions to filter, from recorded audio of a communication between a plurality of participants, wherein the recorded audio comprises speech from one or more of the plurality of participants, a non-speech sound that was transmitted to the plurality of participants;

program instructions to automatically determine that the non-speech sound corresponds to a type of sound, and in response, to automatically associate a descriptive term with a time of occurrence of the non-speech sound within the recorded audio to form a searchable tag, wherein the descriptive term includes a phonetic translation of the non-speech sound; and

program instructions to store the searchable tag as metadata of the recorded audio.

13. The computer program product of claim 12 , wherein the recorded audio is in plurality of separate media streams received from a plurality of distinct electronic devices.

14. The computer program product of claim 12 , further comprising program instructions to receive an input from one or more of the plurality of participants to assist in tagging the non-speech sound.

15. The computer program product of claim 12 , wherein the communication is a teleconference.

16. The computer program product of claim 12 , wherein the descriptive term comprises an identifier of a user of an electronic device from which the non-speech sound originated.

17. The computer program product of claim 12 , wherein the program instructions to automatically associate the descriptive term with the time of the occurrence of the non-speech sound within the recorded audio comprise program instructions to obtain the descriptive term from a mapping between the type of sound and one or more descriptive terms.

18. The computer program product of claim 12 , further comprising program instructions, stored on at least one of the one or more computer-readable storage media, to:

determine that a sound occurring within the recorded audio has ceased at a point in time within the recorded audio; and

create a searchable tag associated with the point in time within the recorded audio indicating that the sound occurring within the recorded audio has ceased.

19. A system for deep tagging a recording, the system comprising:

one or more computer processors;

one or more computer-readable storage media;

program instructions stored on at least one of the one or more computer-readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising:

program instructions to filter, from recorded audio of a communication between a plurality of participants, wherein the recorded audio comprises speech from one or more of the plurality of participants, a non-speech sound that was transmitted to the plurality of participants;

program instructions to automatically determine that the non-speech sound corresponds to a type of sound, and in response, to automatically associate a descriptive term with a time of occurrence of the non-speech sound within the recorded audio to form a searchable tag, wherein the descriptive term includes a phonetic translation of the non-speech sound; and

program instructions to store the searchable tag as metadata of the recorded audio.

20. The system of claim 19 , wherein the recorded audio is in a plurality of separate media streams received from a plurality of distinct electronic devices.

21. The system of claim 19 , further comprising program instructions to receive an input from one or more of the plurality of participants to assist in tagging the non-speech sound.

22. A method for navigating to a location in recorded content, the method comprising the steps of:

a computer receiving a descriptive term or phrase associated with a searchable tag, wherein the searchable tag corresponds to a point-in-time at which a non-speech sound occurred during the recording of recorded content of a communication between a plurality of participants, wherein the recorded content comprises speech from one or more of the plurality of participants, wherein the descriptive term includes an automatically generated phonetic translation of the non-speech sound, and wherein the non-speech sound was transmitted to the plurality of participants during the recording; and

the computer navigating to a location in the recorded content corresponding to the point-in-time at which the non-speech sound occurred.

23. The method of claim 22 , wherein the step of receiving a descriptive term or phrase associated with the searchable tag comprises the computer receiving a selection of a displayed term, wherein the displayed term provides a reference to the location corresponding to the point-in-time.

24. The method of claim 22 , further comprising:

prior to the step of navigating to the location, the computer identifying the searchable tag and the point-in-time.

25. The method of claim 22 , wherein the step of receiving a descriptive term or phrase associated with the searchable tag comprises:

the computer receiving a search query including the descriptive term or phrase; and

the computer searching the recorded content for a match between the descriptive term or phrase and a term or phrase included in the searchable tag.