Analytic model of sentence streaming using TCP for speech recognition

Asril Jarin, K. Ramli, Suryadi
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Abstract

An implementation scheme of speech recognition over Internet called network speech recognition (NSR) can use TCP to ensure the reception of speech data on the server so that the accuracy of recognition obtained could be better. Although TCP can not guarantee the timeliness of data delivery as required by multimedia streaming applications, NSR prefer to receive the whole speech data to be recognized on the server rather than delay. In this paper, we enhance our study [1] about an analytic model of NSR recognizing a speech sent via TCP sentence by sentence by realizing and solving the model with the help of modeling tool TANGRAM-II.
基于TCP的语音识别句子流分析模型
网络语音识别(network speech recognition, NSR)是一种基于Internet的语音识别实现方案,它可以利用TCP协议保证服务器接收语音数据,从而提高识别的准确性。虽然TCP不能保证多媒体流应用所要求的数据传输的及时性,但NSR更愿意接收到服务器上需要识别的整个语音数据,而不是延迟。本文利用建模工具TANGRAM-II实现并求解了一个基于TCP的语音逐句识别的低噪声语音识别分析模型,从而进一步完善了我们的研究[1]。
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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