Dalsgaard P, Fink F K, Pedersen J E, Sørensen H
Speech Technology Centre, Institute of Electronic Systems, University of Aalborg, Denmark.
Acta Otolaryngol Suppl. 1990;469:108-16.
Acoustic-phonetic features necessary for rule-based speech recognition are described. The selection of feature algorithms is based on their robustness to variability of dynamics in speech signals and to influence of environmental noise, and their suitability for real-time implementation using speech production or speech perception modelling. Features are estimated in real-time, using a 32-bit floating point signal processor DSP32. The features described are pitch, formants, segmentation and labelling. The paper indicates the potential use of these features in connection with future experiments leading to development of new hearing aids.
描述了基于规则的语音识别所需的声学语音特征。特征算法的选择基于它们对语音信号动态变化和环境噪声影响的鲁棒性，以及它们对使用语音产生或语音感知建模进行实时实现的适用性。使用32位浮点信号处理器DSP32实时估计特征。所描述的特征是音高、共振峰、分割和标注。本文指出了这些特征在未来与新型助听器开发相关实验中的潜在用途。
