Method and system for implementing a low complexity spectrum estimation technique for comfort noise generation

A method for implementing a spectrum estimation for comfort noise generation, the method comprising the steps of:

• receiving an input noise component of a signal;
• approximating a spectrum of the input noise component using an algorithm over a period of time;
• detecting an absence of speech signals;
• generating comfort noise based on the approximating step when the absence of speech signals is detected;
• and
• performing a variable precision calculation of a least mean square error and at least one least mean square coefficient to make the algorithm substantially independent of variations in noise levels;
• wherein the spectrum of the input noise component is substantially constant over the period of time.

A system for implementing a spectrum estimation for comfort noise generation, the system comprising:

• an encoder adapted to receive an input noise component of a signal for approximating a spectrum of the input noise component using an algorithm over a period of time;
• a detector for detecting an absence of speech signals;
• and
• a comfort noise generator for generating comfort noise based on the approximation of the spectrum when the absence of speech signals is detected;
• wherein the spectrum of the input noise component is substantially constant over the period of time and
• wherein an internal check is performed to ascertain that the input noise component is within approximately 6 dB of a noise floor.

A system for implementing a spectrum estimation for comfort noise generation, the system comprising:

• an encoder adapted to receive an input noise component of a signal for approximating a spectrum of the input noise component using an algorithm over a period of time;
• a detector for detecting an absence of speech signals;
• and
• a comfort noise generator for generating comfort noise based on the approximation of the spectrum when the absence of speech signals is detected;
• wherein the spectrum of the input noise component is substantially constant over the period of time and
• wherein a variable precision calculation of a least mean square error and at least one least mean square coefficient is performed to make the algorithm substantially independent of variations in noise levels.