Robust Pitch Extraction Method for the HMM-Based Speech Synthesis System
Robust Pitch Extraction Method for the HMM-Based Speech Synthesis System
复制标题
基于HMM的语音合成系统的鲁棒基音提取方法
DOI：
10.1109/lsp.2017.2712646
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发表时间：
2017
影响因子：
3.9
通讯作者：
Senior Member
中科院分区：
文献类型：
--
作者：
M. K. Reddy;K. S. Rao;Senior Member
本文提出了一种用于基于隐马尔可夫模型（HMM）的语音合成系统（HTS）的有效的基音提取方法。在所提出的方法中，浊音检测和基音周期估计使用的平均信号从连续小波变换系数。所提出的基音提取方法集成在基于HMM的语音合成系统中。所提出的方法的性能进行评估CMU北极和基尔数据库。客观和主观评价结果表明，与基于HMM的语音合成系统开发的最先进的基音提取方法，即鲁棒算法的基音跟踪和语音转换和表示使用自适应插值的加权频谱HTS相比，所提出的基音估计方法合成的语音质量要好得多。
This letter proposes an efficient method for extracting pitch from speech signals for the hidden Markov model (HMM)-based speech synthesis system (HTS). In the proposed method, voicing detection and pitch estimation is performed using the mean signal obtained from continuous wavelet transform coefficients. The proposed pitch extraction method is integrated in the HMM-based speech synthesis system. The Performance of the proposed method is evaluated on CMU Arctic and Keele databases. Both objective and subjective evaluation results show that the quality of speech synthesized with the proposed pitch estimation method is much better compared with HMM-based speech synthesis systems developed using the state-of-the-art pitch extraction methods, namely, robust algorithm for pitch tracking and speech transformation and representation using adaptive interpolation of weighted spectrum employed in the HTS.