首页>
外国专利>
Characterizing, Selecting And Adapting Audio And Acoustic Training Data For Automatic Speech Recognition Systems
Characterizing, Selecting And Adapting Audio And Acoustic Training Data For Automatic Speech Recognition Systems
展开▼
机译:表征,选择和改编用于自动语音识别系统的音频和声学训练数据
展开▼
页面导航
摘要
著录项
相似文献
摘要
A system for and method of characterizing a target application acoustic domain analyzes one or more speech data samples from the target application acoustic domain to determine one or more target acoustic characteristics, including a CODEC type and bit-rate associated with the speech data samples. The determined target acoustic characteristics may also include other aspects of the target speech data samples such as sampling frequency, active bandwidth, noise level, reverberation level, clipping level, and speaking rate. The determined target acoustic characteristics are stored in a memory as a target acoustic data profile. The data profile may be used to select and/or modify one or more out of domain speech samples based on the one or more target acoustic characteristics.
展开▼