A novel speech reconstruction algorithm for DSR back-end

作者：Wenbin, Jiang; Rendong, Ying; Peilin, Liu

来源：4th International Conference on Audio, Language and Image Processing, ICALIP 2014, 2014-07-07 To 2014-07-09.

DOI：10.1109/ICALIP.2014.7009817

• Algorithm evaluation
• Cepstral analysis
• Least squares estimate
• MFCC
• Minimum phase
• Moore Penrose pseudo inverse
• Reconstruction algorithms
• Short time Fourier transforms

In this paper, a novel speech reconstruction algorithm for DSR back-end is proposed. The algorithm is based on the classic least-squares estimate, inverse short-time Fourier transform magnitude (LSE-ISTFTM) algorithm. Unlike the classic LSE-ISTFTM algorithm, initializing speech waveform with white noise, the proposed method reconstructs voiced and unvoiced speech waveform separately, initializing with a specific signal. Furthermore, the magnitude spectrum is inversed from MFCC with Moore-Penrose pseudo-inverse by Mel-scale weighting functions. The algorithm evaluation results show that the proposed Extended LSE-ISTFTM algorithm converges faster and more stable than the classic algorithm. The speech reconstruction results demonstrate that PESQ score of the proposed algorithm is higher than the classic LSE-ISTFTM algorithm and the DSR back-end method.

• 出版日期2015
• 单位上海交通大学