Combining HMM and Weighted Deviation Linear Transformation for Highband Speech Parameter Estimation

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概要

• 論文の詳細を見る

• A hidden Markov model (HMM)-based parameter estimation scheme is proposed for wideband speech recovery. In each Markov state, the estimation efficiency is improved using a new mapping function derived from the weighted least squares of vector deviations. The experimental results reveal that the performance of the proposed scheme is superior to that combining the HMM and Gaussian mixture model (GMM).

• （社）電子情報通信学会の論文
• 2009-07-01

著者

• Yu Chu

  Department Of Electronic Engineering National I-lan University

• HU Hwai-Tsu

  Department of Electronic Engineering, National I-Lan University

• Hu Hwai-tsu

  Department Of Electronic Engineering National I-lan University

関連論文

• Combining HMM and Weighted Deviation Linear Transformation for Highband Speech Parameter Estimation

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