ADAPTIVE GAIN CONTROL WITH LEARNED GAINS AND CALCULATED GAINS BASED ON THE FREQUENCY DOMAIN
Apparatus, methods, and computer program products that include Adaptive Gain Control with learned gains and calculated gains based on the frequency domain are disclosed. One apparatus includes a processor and a memory that stores code executable by the processor to receive an audio signal from an audio input device and implement an Adaptive Gain Control to adjust a gain of the audio signal. The gain can include a learned gain and/or a calculated gain based on the frequency domain. Methods and computer program products that include and/or perform the operations and/or functions of the apparatus are also disclosed.
1 . An apparatus, comprising:
a processor; and
a memory configured to store code executable by the processor to:
receive an audio signal from an audio input device, and
implement an Adaptive Gain Control to adjust a gain of the audio signal,
wherein the gain comprises at least one of a learned gain and a calculated gain based on a frequency domain.
2 . The apparatus of claim 1 , wherein:
the gain comprises the learned gain; and
learning the learned gain comprises:
determining a gain at a beginning of an audio session, and
utilizing the gain determined at the beginning of the audio session for a remainder of the audio session.
3 . The apparatus of claim 1 , wherein:
the gain comprises the learned gain; and
learning the learned gain comprises:
determining the gain during an audio session, and
utilizing the gain determined during the audio session for at least one subsequent audio session.
4 . The apparatus of claim 1 , wherein:
the gain comprises the learned gain; and
learning the learned gain comprises:
determining a first gain for a first user,
associating a first voiceprint and the first gain,
determining a second gain for a second user,
associating a second voiceprint and the second gain,
utilizing the first gain associated with the first voiceprint in response to determining that a first current user is the first user, and
utilizing the second gain associated with the second voiceprint in response to determining that a second current user is the second user.
5 . The apparatus of claim 1 , wherein:
the executable code further causes the processor to:
receive a plurality of sensor signals from at least one sensor device, each sensor signal including sensor data, and
one of:
determine the learned gain based on a direction that speech from a single user is received by the audio input device, and
determine that a plurality of users are using the audio input device based on the audio input device receiving speech from a plurality of directions,
wherein the at least one sensor device comprises at least one of a microphone and a camera.
6 . The apparatus of claim 1 , wherein:
the gain comprises the calculated gain; and
adjusting the gain comprises applying one of a weighted sum of Mel-frequency cepstral coefficients and fast Fourier transforms to the audio signal.
7 . The apparatus of claim 1 , wherein:
the gain comprises the calculated gain; and
learning the learned gain comprises:
determining a first portion of the audio signal that is speech,
determining a second portion of the audio signal that is non-speech, and
calculating a gain based on the first portion of the audio signal that is speech.
8 . A method, comprising:
receiving, by a processor, an audio signal from an audio input device; and
implementing an Adaptive Gain Control to adjust a gain of the audio signal,
wherein the gain comprises at least one of a learned gain and a calculated gain based on a frequency domain.
9 . The method of claim 8 , wherein:
the gain comprises the learned gain; and
learning the learned gain comprises:
determining a gain at a beginning of an audio session, and
utilizing the gain determined at the beginning of the audio session for a remainder of the audio session.
10 . The method of claim 8 , wherein:
the gain comprises the learned gain; and
learning the learned gain comprises:
determining the gain during an audio session, and
utilizing the gain determined during the audio session for at least one subsequent audio session.
11 . The method of claim 8 , wherein:
the gain comprises the learned gain; and
learning the learned gain comprises:
determining a first gain for a first user,
associating a first voiceprint and the first gain,
determining a second gain for a second user,
associating a second voiceprint and the second gain,
utilizing the first gain associated with the first voiceprint in response to determining that a first current user is the first user, and
utilizing the second gain associated with the second voiceprint in response to determining that a second current user is the second user.
12 . The method of claim 8 , further comprising:
receive a plurality of sensor signals from at least one sensor device, each sensor signal including sensor data; and
one of:
determining the learned gain based on a direction that speech from a single user is received by the audio input device, and
determining that a plurality of users are using the audio input device based on the audio input device receiving speech from a plurality of directions,
wherein the at least one sensor device comprises at least one of a microphone and a camera.
13 . The method of claim 8 , wherein:
the gain comprises the calculated gain; and
learning the learned gain comprises:
determining a first portion of the audio signal that is speech,
determining a second portion of the audio signal that is non-speech, and
calculating a gain based on the first portion of the audio signal that is speech.
14 . The method of claim 8 , wherein:
the gain comprises the calculated gain; and
adjusting the gain comprises applying one of a weighted sum of Mel-frequency cepstral coefficients and fast Fourier transforms to the audio signal.
15 . A computer program product comprising a computer-readable storage device including code embodied therewith, the code executable by a processor to cause the processor to:
receive an audio signal from an audio input device; and
implement an Adaptive Gain Control to adjust a gain of the audio signal,
wherein the gain comprises at least one of a learned gain and a calculated gain based on a frequency domain.
16 . The computer program product of claim 15 , wherein:
the gain comprises the learned gain; and
learning the learned gain comprises:
determining a gain at a beginning of an audio session, and
utilizing the gain determined at the beginning of the audio session for at least one of:
a remainder of the audio session, and
at least one subsequent audio session.
17 . The computer program product of claim 15 , wherein:
the gain comprises the learned gain; and
learning the learned gain comprises:
determining a first gain for a first user,
associating a first voiceprint and the first gain,
determining a second gain for a second user,
associating a second voiceprint and the second gain,
utilizing the first gain associated with the first voiceprint in response to determining that a first current user is the first user, and
utilizing the second gain associated with the second voiceprint in response to determining that a second current user is the second user.
18 . The computer program product of claim 15 , wherein the executable code further causes the processor to:
receive a plurality of sensor signals from at least one sensor device, each sensor signal including sensor data; and
one of:
determine the learned gain based on a direction that speech from a single user is received by the audio input device, and
determine that a plurality of users are using the audio input device based on the audio input device receiving speech from a plurality of directions,
wherein the at least one sensor device comprises at least one of a microphone and a camera.
19 . The computer program product of claim 15 , wherein:
the gain comprises the calculated gain; and
learning the learned gain comprises:
determining a first portion of the audio signal that is speech,
determining a second portion of the audio signal that is non-speech, and
calculating a gain based on the first portion of the audio signal that is speech.
20 . The computer program product of claim 15 , wherein:
the gain comprises the calculated gain; and
adjusting the gain comprises applying one of a weighted sum of Mel-frequency cepstral coefficients and fast Fourier transforms to the audio signal.