Sunday, 23 April 2017

IEEE PAPER REVIEW

        AUTOMATIC WORD RECOGNITION IN CARS

           Author Name: Chafic E. Mokbel and Gerard F. A. Chollet, Member, IEEE


The widespread use of mobile technology motivated the development of robust recognition systems for car.
Speech produced and captured is contaminated by noise. A microphone is placed 50cm away from the mouth of the speaker and it capures a mixture of speech and noise.
A number of spectral representations and their associated distance measures were discussed.
The possibility of increasing the SNR is also considered. Using several microphones helps to achieve a higher SNR. But since only one microphone is supposed to be available for the work reported,
spectral subtraction was an appropriate technique.
A number of techniques in the domain of speech recognition in cars were verified. One important was related to Lombard effect which depends on the mean frequency characteristics of the ambient noise.

8 comments:

  1. The filter design will become very tedious with a single microphone

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  3. using this in cars is really innovative

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    Replies
    1. Help in developing the automotive industry.

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  4. windowing function helps smoothen out the waveform

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