Speech identification and extraction from noise using extended high frequency information

A non-transitory computer readable medium comprising program instructions executable by at least one processor to cause the at least one processor to perform a method comprising:

• obtaining a first audio sample;
• determining that a first portion of the first audio sample contains frequency content at frequencies higher than 5.6 kilohertz that exceeds a threshold energy level;
• responsive to determining that the first portion contains frequency content at frequencies higher than 5.6 kilohertz that exceeds the threshold energy level, determining a first audio filter based on the first portion of the first audio sample by:
• determining a first spectrogram for the first portion;
• and
• performing non-negative matrix factorization to generate a first matrix and a second matrix whose product corresponds to a low-frequency portion of the first spectrogram that is below a threshold frequency, wherein the first matrix is composed of a set of column vectors that span along a frequency dimension of the first spectrogram, and wherein the second matrix is composed of a set of row vectors that span along a time dimension of the first spectrogram;
• subsequent to obtaining the first audio sample, obtaining a second audio sample;
• and
• applying the first audio filter to the second audio sample to generate a first audio output by:
• determining a second spectrogram for the second audio sample;
• applying the first matrix to a low-frequency portion of the second spectrogram that is below the threshold frequency to generate a third spectrogram that represents noise content of the second audio sample;
• and
• using the third spectrogram to remove the noise content from the second audio sample, thereby generating the first audio output.