Earticle

초록

영어

The noise processing is the key of improving recognition rate for the noisy utterance. While for the short utterance, its corpus is less and small amount of speech data is available for testing and training, so making full use of its limit corpus is the key of improving recognition rate of the short utterance. For the noisy short utterance, the noise processing and making full use of the limit corpus are vital. We proposed noise separation algorithm based on constrained Non-negative matrix factorization (CNMF) to make the noise processing. As making full use of the limit corpus, we proposed the improved SNR discrimination algorithm (ISNRDA) and the differences detection and discrimination algorithm (DDADA), we use the two classification algorithm to estimate the quality of the speech frame, and classify the speech frame. Besides, we combine the above classification result with the GMM-UBM three-stage classification model proposed in this paper, so that we can make full use of the limit corpus of the noisy short utterance. Experiments show that the above algorithms can improve speaker recognition performance of noisy short utterance.

목차

Abstract
 1. Introduction
 2. Noise Processing Algorithm
  2.1 Fast ICA Algorithm
  2.2 Constrained Non-negative Matrix Factorization(CNMF)
 3. Speech Frame Classification Alogorithm
  3.1 Improved SNR Discrimination Algorithm (ISNRDA)
  3.2 Differences Detection and Discrimination Algorithm (DDADA)
 4. GMM-UBM Three-stage Classification Model
 5. Experiments and Results
  5.1 Speech Database and Noise
  5.2 Research on Noise Separation Algorithm
  5.3 Research on the Quality Discrimination Algorithm of the Speech Frame
  5.4 Research on the Speech Frame Classification Model
 6. Conclusion
 References

키워드

저자

• Ying Chen [ School of Computer Science & Engineering, Nanjing University of Science and Technology, Jiagsu Nanjing 210094, China ]
• Zhenmin Tang [ School of Computer Science & Engineering, Nanjing University of Science and Technology, Jiagsu Nanjing 210094, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605