Objective Assessment of Synthetic Speech Quality
- Login to Download
- 1 Credits
Resource Overview
Objective evaluation methods for synthetic speech quality, encompassing metrics such as Signal-to-Noise Ratio (SNR), Cepstral Distance, and Mean Value, implemented using MATLAB programs with detailed algorithmic explanations.
Detailed Documentation
Various methods exist for objectively evaluating the quality of synthetic speech. Key metrics include Signal-to-Noise Ratio (SNR), Cepstral Distance, and Mean Value calculations. These quantitative measurements can be efficiently implemented through MATLAB programs that perform signal processing operations like spectral analysis, feature extraction, and statistical computations. The implementation typically involves functions for waveform segmentation, Fourier transformations for spectral decomposition, and mathematical operations for distance calculations between reference and synthesized speech features. By systematically applying these evaluation metrics, developers can perform comprehensive quality assessments of synthetic speech outputs, enabling data-driven improvements in speech synthesis algorithms and parameter optimization for enhanced naturalness and intelligibility.
- Login to Download
- 1 Credits