首页>
外国专利>
Optimized local feature extraction for automatic speech recognition
Optimized local feature extraction for automatic speech recognition
展开▼
机译:优化的局部特征提取可实现自动语音识别
展开▼
页面导航
摘要
著录项
相似文献
摘要
The acoustic speech signal is decomposed into wavelets arranged in an asymmetrical tree data structure from which individual nodes may be selected to best extract local features, as needed to model specific classes of sound units. The wavelet packet transformation is smoothed through integration and compressed to apply a non-linearity prior to discrete cosine transformation. The resulting subband features such as cepstral coefficients may then be used to construct the speech recognizer's speech models. Using the local feature information extracted in this manner allows a single recognizer to be optimized for several different classes of sound units, thereby eliminating the need for parallel path recognizers.
展开▼