Systems and methods for multi-band audio coding

A method for audio coding, the method comprising:

• receiving one or more features corresponding an audio signal;
• generating an excitation signal based on the one or more features;
• using a filterbank to generate a plurality of band-specific signals from the excitation signal, wherein the plurality of band-specific signals correspond to a plurality of frequency bands;
• using a machine learning (ML) filter estimator to generate one or more parameters associated with one or more linear filters in response to input of the one or more features to the ML filter estimator;
• using a voicing estimator to generate one or more gain values associated with one or more gain amplifiers in response to input of the one or more features to the voicing estimator;
• combining the plurality of band-specific signals into a combined signal;
• using a second filterbank to generate a second plurality of band-specific signals from the combined signal, wherein the second plurality of band-specific signals correspond to a second plurality of frequency bands;
• modifying the second plurality of band-specific signals by applying at least one of the one or more gain amplifiers to each of the second plurality of band-specific signals according to the one or more gain values;
• and
• combining the second plurality of band-specific signals to generate an output audio signal.

A non-transitory computer-readable medium having stored thereon instructions that, when executed by one or more processors, cause the one or more processors to:

• receive one or more features corresponding an audio signal;
• generate an excitation signal based on the one or more features;
• use a filterbank to generate a plurality of band-specific signals from the excitation signal, wherein the plurality of band-specific signals correspond to a plurality of frequency bands;
• use a machine learning (ML) filter estimator to generate one or more parameters associated with one or more linear filters in response to input of the one or more features to the ML filter estimator;
• use a voicing estimator to generate one or more gain values associated with one or more gain amplifiers in response to input of the one or more features to the voicing estimator;
• combine the plurality of band-specific signals into a combined signal;
• use a second filterbank to generate a second plurality of band-specific signals from the combined signal, wherein the second plurality of band-specific signals correspond to a second plurality of frequency bands;
• modify the second plurality of band-specific signals based on application of at least one of the one or more gain amplifiers to each of the second plurality of band-specific signals according to the one or more gain values;
• and
• combine the second plurality of band-specific signals to generate an output audio signal.