235 / 2017-01-15 16:28:51
Optimization of Code Excited Linear Prediction Speech Coder with PSVQ-Genetic codebook
终稿
Sakuntala S. Pillai / MAR BASELIOS COLLEGE OF ENGINEERING AND TECHNOLOGY, NALANCHIRA, TRIVANDRUM, KERALA.
Ancy S. Anselan / MAR BASELIOS COLLEGE OF ENGINEERING AND TECHNOLOGY, NALANCHIRA, TRIVANDRUM, KERALA.
The development of high quality speech coders at low bit rate and low delay is a challenging task in the field of speech communication, due to ever increasing users in wireless communication networks. CELP codec gives good quality at 4.8 Kbps. By optimizing the excitation vectors in the codebook many changes in the performance can be observed to achieve toll quality speech. Codebook optimization can be achieved by improving the training process in the generation process and by using fast searching algorithms. Gaussian (K-means clustering), Fixed (PSVQ) and PSVQ-Genetic codebooks were generated to be included in CELP 4.8. Variations in performance were evaluated using objective and subjective quality measures. Experiments show that CELP 4.8 provides toll quality and reduced delay with PSVQ-Genetic codebook.
重要日期
  • 会议日期

    03月22日

    2017

    03月24日

    2017

  • 02月15日 2017

    初稿截稿日期

  • 02月20日 2017

    初稿录用通知日期

  • 02月22日 2017

    终稿截稿日期

  • 03月24日 2017

    注册截止日期

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