Class-Based Histogram Equalization for Robust Speech Recognition

@inproceedings{SuhClassBasedHE,
  title={Class-Based Histogram Equalization for Robust Speech Recognition},
  author={Youngjoo Suh and Hoirin Kim}
}
⎯A new class-based histogram equalization method is proposed for robust speech recognition. The proposed method aims at not only compensating the acoustic mismatch between training and test environments, but also at reducing the discrepancy between the phonetic distributions of training and test speech data. The algorithm utilizes multiple class-specific reference and test cumulative distribution functions, classifies the noisy test features into their corresponding classes, and equalizes the… CONTINUE READING