TBNR: the ThinkIT Broadcast News speech Recognition system

Yanqing Sun, Jie Gao, Yu Zhou, Fuping Pan, Qingwei Zhao, Yonghong Yan
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Abstract

This paper describes the TBNR system, which features at many state-of-the-art technologies of speech recognition, covering the decoder, acoustic modeling, speech recognition features, and etc. By integrating these technologies, several optimizations have been performed to utilize multi-processors resources. Along with models in several typical languages, these systems could be used at once for several applications. API functions are designed in a way that the users not familiar with speech recognition could finish development writing only several lines of code to finish a complete task of speech recognition.
TBNR: ThinkIT广播新闻语音识别系统
本文介绍了TBNR系统,该系统具有许多最新的语音识别技术,包括解码器,声学建模,语音识别特征等。通过集成这些技术,执行了一些优化以利用多处理器资源。与几种典型语言的模型一起,这些系统可以同时用于多个应用程序。API函数的设计使不熟悉语音识别的用户只需编写几行代码即可完成完整的语音识别任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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