Method and system for identifying speech sound and non-speech sound in an environment

1. A method for identifying speech sound and non-speech sound in an environment, adapted for identifying a speech signal and other non-speech signals from a mixed sound source having a plurality of channels, said method comprising the steps of:

(a) using a blind source separation unit to separate the mixed sound source into a plurality of sound signals;

(b) storing spectrum of each of the sound signals;

(c) calculating spectrum fluctuation of each of the sound signals in accordance with stored past spectrum information and current spectrum information sent from the blind source separation unit; and

(d) identifying one of the sound signals that has a largest spectrum fluctuation as the speech signal.

2. The method for identifying speech sound and non-speech sound in an environment as claimed in claim 1 , wherein the blind source separation unit includes a plurality of time-frequency transformers for respectively transforming the channels of the mixed sound source from the time domain to the frequency domain, said method further comprising the step of using a frequency-time transformer for transforming the speech signal from the frequency domain to the time domain.

3. The method for identifying speech sound and non-speech sound in an environment as claimed in claim 2 , wherein the time-frequency transformers are Fast Fourier Transformers, and the frequency-time transformer is an Inverse Fast Fourier Transformer.

4. The method for identifying speech sound and non-speech sound in an environment as claimed in claim 2 , further comprising the steps of using a plurality of energy measuring devices for measuring and storing energies of the channels of the mixed sound source, respectively, and smoothing the speech signal in the time domain in accordance with past energy information stored in the energy measuring devices.

5. A system for identifying speech sound and non-speech sound in an environment, adapted for identifying a speech signal and other non-speech signals from a mixed sound source having a plurality of channels, said system comprising:

a blind source separation unit for separating the mixed sound source into a plurality of sound signals;

a past spectrum storage unit for storing spectrum of each of the sound signals;

a spectrum fluctuation feature extractor for calculating spectrum fluctuation of each of the sound signals in accordance with past spectrum information sent from the past spectrum storage unit and current spectrum information sent from the blind source separation unit; and

a signal switching unit for receiving the spectrum fluctuations sent from the spectrum fluctuation feature extractor and for identifying one of the sound signals that has a largest spectrum fluctuation as the speech signal.

6. The system for identifying speech sound and non-speech sound in an environment as claimed in claim 5 , wherein the blind source separation unit includes a plurality of time-frequency transformers for respectively transforming the channels of the mixed sound source from the time domain to the frequency domain, said system further comprising a frequency-time transformer for transforming the speech signal from the frequency domain to the time domain.

7. The system for identifying speech sound and non-speech sound in an environment as claimed in claim 6 , wherein the time-frequency transformers are Fast Fourier Transformers, and the frequency-time transformer is an Inverse Fast Fourier Transformer.

8. The system for identifying speech sound and non-speech sound in an environment as claimed in claim 6 , further comprising:

a plurality of energy measuring devices for measuring and storing energies of the channels of the mixed sound source, respectively; and

an energy smoothing unit for smoothing the speech signal in the time domain in accordance with past energy information stored in the energy measuring devices.