This paper proposes a perceptual modeling approach with a two-stage recognition to deal with the issues of recognition degradation in noisy environment. The auditory masking effect is used for speech enhancement and acoustic modeling in order to overcome the model inconsistencies between training speech and noisy input. In the two-stage recognition, the maximum a posteriori (MAP) based adaptation algorithm is used to incrementally adapt the noise model. In order to evaluate our proposed approach, a Mandarin keyword spotting system was constructed. The experimental results show our proposed method achieves a better recognition rate compared to the audible noise suppression (ANS) and parallel model combination (PMC) methods for both in 70km/hr (10.3dB) and 90km/hr (6.4dB) car environments.
|Journal||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|Publication status||Published - 2002 Jul 11|
|Event||2002 IEEE International Conference on Acustics, Speech, and Signal Processing - Orlando, FL, United States|
Duration: 2002 May 13 → 2002 May 17
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering