EXTRANEOUS VOICE REMOVAL FROM AUDIO IN A COMMUNICATION SESSION

1 . A method comprising:

receiving audio comprising a signal representing sound captured from an endpoint operated by a user on a communication session;

identifying an extraneous voice in the audio, wherein the voice is from a person other than the user;

removing the extraneous voice from the audio; and

after removing the extraneous voice, transmitting the audio to another endpoint on the communication session.

2 . The method of claim 1 , wherein identifying and removing the extraneous voice comprise:

inputting the audio into a machine learning algorithm, wherein the machine learning algorithm is trained to recognize a user voice of the user and wherein the machine learning algorithm outputs the audio with the extraneous voice removed.

3 . The method of claim 2 , comprising:

training the machine learning algorithm using one or more samples of the user voice.

4 . The method of claim 3 , wherein training the machine learning algorithm includes:

in response to the user initiating the communication session, requesting the samples from the user.

5 . The method of claim 3 , wherein training the machine learning algorithm comprises:

training the machine learning algorithm using one or more extraneous voice samples that were not intended for transmittal.

6 . The method of claim 3 , wherein the machine learning algorithm generates a confidence score for the extraneous voice and removes the extraneous voice upon determining that the confidence score satisfies a threshold level of confidence.

7 . The method of claim 6 , wherein the machine learning algorithm considers intensity of the extraneous voice and/or a language spoken by the extraneous voice when generating the confidence score.

8 . The method of claim 1 , comprising:

notifying the user that the extraneous voice has been identified;

wherein removing the extraneous voice is performed in response to determining that the user has granted permission for removal of the extraneous voice.

9 . The method of claim 1 , wherein identifying the extraneous voice comprises:

isolating the extraneous voice from one or more other voices in the audio.

10 . The method of claim 1 , wherein the extraneous voice is not a voice included in a whitelist of voices.

11 . An apparatus comprising:

one or more computer readable storage media;

a processing system operatively coupled with the one or more computer readable storage media; and

program instructions stored on the one or more computer readable storage media that, when read and executed by the processing system, direct the processing system to:

receive audio comprising a signal representing sound captured from an endpoint operated by a user on a communication session;

identify an extraneous voice in the audio, wherein the voice is from a person other than the user;

remove the extraneous voice from the audio; and

after removing the extraneous voice, transmit the audio to another endpoint on the communication session.

12 . The apparatus of claim 11 , wherein to identify and remove the extraneous voice, the program instructions direct the processing system to:

input the audio into a machine learning algorithm, wherein the machine learning algorithm is trained to recognize a user voice of the user and wherein the machine learning algorithm outputs the audio with the extraneous voice removed.

13 . The apparatus of claim 12 , wherein the program instructions direct the processing system to:

train the machine learning algorithm using one or more samples of the user voice.

14 . The apparatus of claim 13 , wherein to train the machine learning algorithm, the program instructions direct the processing system to:

in response to the user initiating the communication session, request the samples from the user.

15 . The apparatus of claim 13 , wherein to train the machine learning algorithm, the program instructions direct the processing system to:

train the machine learning algorithm using one or more extraneous voice samples that were not intended for transmittal.

16 . The apparatus of claim 13 , wherein the machine learning algorithm generates a confidence score for the extraneous voice and removes the extraneous voice upon determining that the confidence score satisfies a threshold level of confidence.

17 . The apparatus of claim 16 , wherein the machine learning algorithm considers intensity of the extraneous voice and/or a language spoken by the extraneous voice when generating the confidence score.

18 . The apparatus of claim 11 , wherein the program instructions direct the processing system to:

notify the user that the extraneous voice has been identified;

wherein removal of the extraneous voice is performed in response to determining that the user has granted permission for removal of the extraneous voice.

19 . The apparatus of claim 11 , wherein identifying the extraneous voice the program instructions direct the processing system to:

isolating the extraneous voice from one or more other voices in the audio.

20 . One or more computer readable storage media having program instructions stored thereon that, when read and executed by a processing system, direct the processing system to:

receive audio comprising a signal representing sound captured from an endpoint operated by a user on a communication session;

identify an extraneous voice in the audio, wherein the voice is from a person other than the user;

remove the extraneous voice from the audio; and

after removing the extraneous voice, transmit the audio to another endpoint on the communication session.