VOICE ATTRIBUTE MANIPULATION DURING AUDIO CONFERENCING
A method for manipulating voice attributes includes receiving, by a processor, a voice sample of a natural voice of a user, analyzing, by the processor, the voice sample for at least one attribute of the voice sample, receiving, by the processor, entered values for the at least one attribute of the voice sample and applying, by the processor, the entered values to the at least one attribute of the voice sample. The method further includes adjusting, by the processor, the at least one attribute of the voice sample based on the applied entered values to generate a manipulated voice sample, replacing, by the processor, the natural voice of the user with a modified voice of the user based on the manipulated voice sample and outputting, by the processor, the modified voice of the user.
1 . A method, comprising:
receiving, by a processor, a voice sample of a natural voice of a user;
analyzing, by the processor, the voice sample for at least one attribute of the voice sample;
receiving, by the processor, entered values for the at least one attribute of the voice sample;
applying, by the processor, the entered values to the at least one attribute of the voice sample;
adjusting, by the processor, the at least one attribute of the voice sample based on the applied entered values to generate a manipulated voice sample;
replacing, by the processor, the natural voice of the user with a modified voice of the user based on the manipulated voice sample; and
outputting, by the processor, the modified voice of the user.
2 . The method according to claim 1 , wherein the manipulated voice sample is generated using a trained algorithm for machine learning.
3 . The method according to claim 1 , further comprising displaying the at least one attribute of the voice sample.
4 . The method according to claim 3 , wherein the displayed at least one attribute of the voice sample includes a scale of values for adjusting the at least one attribute of the voice sample.
5 . The method according to claim 1 , further comprising replacing a natural voice of a speaker with a modified voice for a speaker during a communication session.
6 . The method according to claim 5 , wherein the communication session is a conference call.
7 . The method according to claim 5 , further comprising providing notification to other participants to the communication session that the speaker is using the modified voice.
8 . The method according to claim 1 , wherein the entered values for the at least one attribute of the voice sample is based on known attributes of desired voices.
9 . The method according to claim 1 , wherein the at least one attribute includes at least one of pitch, tone, volume, intensity, vocal fry, rhythm, texture and intonation.
10 . The method according to claim 1 , further comprising storing, by the processor, the entered values for the at least one attribute of the voice sample in a user profile.
11 . The method according to claim 1 , wherein the modified voice of the user based on the manipulated voice sample is substituted for the natural voice of the user in real time.
12 . A system, comprising:
one or more processors; and
a memory coupled with and readable by the one or more processors and having stored therein a set of instructions which, when executed by the one or more processors, causes the one or more processors to:
receive a voice sample of a natural voice of a user;
analyze the voice sample for at least one attribute of the voice sample;
receive entered values for the at least one attribute of the voice sample;
apply the entered values to the at least one attribute of the voice sample;
adjust the at least one attribute of the voice sample based on the applied entered values to generate a manipulated voice sample;
replace the natural voice of the user with a modified voice of the user based on the manipulated voice sample; and
output the modified voice of the user.
13 . The system according to claim 12 , wherein the manipulated voice sample is generated using a trained algorithm for machine learning.
14 . The system according to claim 12 , wherein the one or more processors is further caused to display the at least one attribute of the voice sample.
15 . The system according to claim 14 , wherein the displayed at least one attribute of the voice sample includes a scale of values for adjusting the at least one attribute of the voice sample.
16 . The system according to claim 12 , wherein the one or more processors is further caused to replace a natural voice of a speaker with a modified voice for the speaker during a communication session.
17 . The system according to claim 16 , wherein the communication session is a conference call.
18 . The system according to claim 12 , wherein the entered values for the at least one attribute of the voice sample is based on known attributes of desired voices.
19 . The system according to claim 12 , wherein the at least one attribute includes at least one of pitch, tone, volume, intensity, vocal fry, rhythm, texture and intonation.
20 . A computer readable medium comprising microprocessor executable instructions that, when executed by the microprocessor, perform the following functions:
receive a voice sample of a natural voice of a user;
analyze the voice sample for at least one attribute of the voice sample;
receive entered values for the at least one attribute of the voice sample;
apply the entered values to the at least one attribute of the voice sample;
adjust the at least one attribute of the voice sample based on the applied entered values to generate a manipulated voice sample;
replace the natural voice of the user with a modified voice of the user based on the manipulated voice sample; and
output the modified voice of the user.