Audio coding using combination of machine learning based time-varying filter and linear predictive coding filter

A method of reconstructing one or more audio signals, the method comprising:

• generating, using a neural network, coefficients for one or more linear time-varying filters;
• generating, using the one or more linear time-varying filters and based on the coefficients, an excitation signal for at least one sample of an audio signal based on one or more inputs to the neural network, the excitation signal being configured to excite a linear predictive coding (LPC) filter;
• and
• generating, using the LPC filter based on the excitation signal, at least one sample of a reconstructed audio signal.

An apparatus for reconstructing one or more audio signals, comprising:

• at least one memory configured to store audio data;
• and
• at least one processor coupled to the at least one memory, the at least one processor configured to:
• generate, using a linear predictive coding (LPC) filter based on an excitation signal, a predicted signal for at least one sample of an audio signal, the predicted signal being configured to excite a linear time-varying filter;
• generate, using a neural network, coefficients for the linear time-varying filter;
• and
• generate, using the linear time-varying filter based on the coefficients, at least one sample of a reconstructed audio signal.

A method of reconstructing one or more audio signals, comprising:

• generating, using a linear predictive coding (LPC) filter based on an excitation signal, a predicted signal for at least one sample of an audio signal, the predicted signal being configured to excite a linear time-varying filter;
• generating, using a neural network, coefficients for the linear time-varying filter;
• and
• generating, using the linear time-varying filter based on the coefficients, at least one sample of a reconstructed audio signal.