ON-LINE LEARNING METHOD AND SYSTEM FOR SPEECH DENOISING

摘要

The system produces an estimator of noise which is an unknown function of physical quantities without necessity for said function to be linear. A microphone (21) is arranged for capturing a sound and means (22, 24, 29) are arranged for associating a first vector value of the physical quantities to said sound by a common index at the same time as the sound is captured. A generator (23) and a shift register (29) are arranged for storing captured sounds and associated said first vector value by incrementing a value of the index each time a sound is captured. When said index value is or has been incremented a number of times at least equal to a first integer (L) greater than one, each time said index value is incremented, the generator (23) generates a current sequence of coefficients for a linear combination of functions which satisfy Mercer conditions wherein a first argument of one of the functions is the one of first vector values having the index value corresponding to a rank of the coefficient in the sequence and for setting values of the coefficients so as to a quantity of the last captured sounds equal to said first integer be substantially equal each to an occurrence of the linear combination wherein a second argument of the functions is another one of first vector values having the index value associated to the sound. The estimator is produced by the generator (23) performing the linear combination resulting from the current generated sequence when a next captured sound is not pure noise.