Method of noise reduction using correction and scaling vectors with partitioning of the acoustic space in the domain of noisy speech

A method of noise reduction for reducing noise in a noisy input signal, the method comprising:

• grouping noisy channel feature vectors and clean channel feature vectors into a plurality of mixture components;
• fitting a function applied to noisy channel feature vectors associated with a mixture component to only those clean channel feature vectors that are associated with the same mixture component to determine at least one correction vector and at least one scaling vector through steps comprising:
• determining a distribution value that is indicative of the distribution of the noisy channel feature vectors in at least one mixture component;
• and
• using the distribution value for a mixture component to determine the correction vector and the scaling vector for that mixture component;
• multiplying the scaling vector by a noisy input feature vector to produce a scaled feature vector;
• adding a correction vector to the scaled feature vector to form a clean input feature vector;
• and
• using the clean input feature vectors to facilitate pattern recognition.