Voicing estimation method and apparatus for speech recognition by using local spectral information
AssigneeSamsung Electronics Co., Ltd.
InventorsKwang Cheol Oh, Jae-Hoon Jeong
Life of this patent
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Abstract
A method and apparatus of estimating a voicing for speech recognition by using local spectral information. The voicing estimation method for speech recognition includes performing a Fourier transform on input voice signals after performing pre-processing on the input voice signals. The method further includes detecting peaks in the input voice signals after smoothing the input voice signals. The method also includes computing every frequency bound associated with the detected peaks, and determining a class of a voicing according to each computed frequency bound.
Claims16
A voicing estimation method for speech recognition, the method comprising:
- performing a Fourier transform on input voice signals after the input voice signals are pre-processed;
- detecting peaks in the transformed input voice signals after smoothing the transformed input voice signals;
- computing frequency bounds respectively associated with each of the detected peaks;
- and
- determining a voicing class according to each computed frequency bound.
A voicing estimation apparatus for speech recognition, the apparatus comprising:
- a pre-processing unit pre-processing input voice signals;
- a Fourier transform unit Fourier transforming the pre-processed input voice signals;
- a smoothing unit smoothing the transformed input voice signals;
- a peak detection unit detecting peaks in the smoothed input voice signals;
- a frequency bound calculation unit computing frequency bounds respectively associated with the detected peaks;
- and
- a class determination unit determining a voicing class according to each computed frequency bound.
A voicing estimation method for speech recognition, the method comprising:
- Fourier transforming pre-processed input voice signals;
- smoothing the transformed input voice signals and detecting at least one peak in the smoothed input voice signals;
- computing a frequency bound for each detected peak, each frequency bound being based on an associated detected peak;
- and
- classifying a voicing based on the frequency bounds.
Dependencies are inferred from the claim text.