Unified deep neural network model for acoustic echo cancellation and residual echo suppression

A computer system for acoustic echo suppression, the computer system comprising:

• one or more computer-readable non-transitory storage media configured to store computer program code;
• and
• one or more computer processors configured to access said computer program code and operate as instructed by said computer program code, said computer program code including:
• receiving code configured to cause the one or more computer processors to receive a microphone signal waveform and a far-end reference signal waveform;
• estimating code configured to cause the one or more computer processors to estimate an echo signal waveform based on multiplying a single-tap mask by a signal spectrum associated with the microphone signal waveform and a far-end reference signal waveform;
• and
• outputting estimating code configured to cause the one or more computer processors to output a near-end speech signal waveform based on subtracting the estimated echo signal waveform from the microphone signal waveform, wherein echoes are suppressed within the near-end speech signal waveform.

A non-transitory computer readable medium having stored thereon a computer program for acoustic echo suppression, the computer program configured to cause one or more computer processors to:

• receive a microphone signal waveform and a far-end reference signal waveform;
• estimate an echo signal waveform based on multiplying a single-tap mask by a signal spectrum associated with the microphone signal waveform and a far-end reference signal waveform;
• and
• output a near-end speech signal waveform based on subtracting the estimated echo signal waveform from the microphone signal waveform, wherein echoes are suppressed within the near-end speech signal waveform.