SID frame detection with human auditory perception compensation

A method to for silence insertion descriptor (SID) frame detection to determine if a background noise update is warranted in a digitized voice application based upon human auditory perception (HAP) factors, comprising:

• detecting SID frames in a digitized voice application;
• calculating HAP-based spectral distance thresholds for each said SID frame, said thresholds are experimentally selected and based on loudness perception that vary depending on the energy of said SID frames, the levels of said thresholds being higher at low loudness to compensate for low sensitivity, and the levels of said thresholds being lower at high loudness levels for maximum sensitivity;
• calculating HAP-based signal energy levels for each said SID frame;
• calculating the HAP-based spectral distance changes between successive SID frames;
• evaluating changes in said signal energy levels to determine if said changes will be perceptible or significant to the human auditory response system;
• rejecting said signal energy levels representing inaudible background level changes;
• and
• generating SID packets corresponding to perceptible changes in background noise.

A method for silence insertion descriptor (SID) frame detection to determine if a background noise update is warranted in a digitized voice application based upon human auditory perception (HAP) factors, comprising:

• detecting SID frames in a digitized voice application;
• calculating HAP-based acoustic factors of background noise signals for each said SID frame;
• rejecting said background signals levels if changes in said HAP-based acoustic factors are imperceptible to a HAP system;
• and
• generating SID packets corresponding to changes in said HAP-based acoustic factors are perceptible to said HAP system,
• wherein said calculating comprises:
• calculating HAP-based spectral distance changes between successive SID frames;
• and
• calculating HAP-based spectral distance thresholds for each said SID frame,
• wherein said thresholds are experimentally selected and based on loudness perception that vary depending on the energy of said SID frames, the levels of said thresholds being higher at low loudness to compensate for low sensitivity, and the levels of said thresholds being lower at high loudness levels for maximum sensitivity.