There are many challenges in sign language recognition.
在手语识别领域中仍然有很多挑战性的难题。
The research of sign language recognition has great academic value and broad application prospect.
手语识别的研究具有重大的学术价值和广泛的应用前景。
Finally, these two language models are evaluated on the task of Chinese speech recognition.
最后,在中文语音识别任务上测试两类语言模型的性能。
This was where language, face recognition and memory were mainly based.
这里主要是控制语言、人脸识别、以及记忆的区域。
Center essential technology including speech recognition technology and pronunciation technology and language synthesis technology.
中的关键技术包括语音识别技术和语音技术和语言合成技术。
The paper brings forward a new intelligent retrieval model basing on Recognition of Natural Language.
论文的主要贡献如下:1、提出了一种基于自然语言识别的智能查询模型。
The paper brings forward a new intelligent retrieval model basing on Recognition of Natural Language.
论文的主要贡献如下:1、提出了一种基于自然语言识别的智能查询模型。
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