| 摘要: |
| 通过分析作为机载远程通信主要手段的短波电台在强干扰及超远距离等极限条件下面临的失效风险，针对性地设计了基于语音识别技术的机载短波应急通信方案。该方案通过语音识别技术将语音信号转换为语义信息进行传输。采用提出的嵌入式命令词语音识别技术、说话人自适应技术和噪声鲁棒性语音识别技术提高语音识别的性能，保证基于语音识别技术的机载短波应急通信方法的实现，从而可以在上述情况下为飞行员提供应急通信保障。 |
| 关键词: 机载通信：短波应急通信 语音识别 抗干扰 |
| DOI： |
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| 基金项目: |
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| Airborne HF emergency communication based on speech recognition |
| CHEN Chen,HU Bei-bei |
| () |
| Abstract: |
| The high frequency（HF） communication is the primary means of airborne remote distance communication. Through analyzing the failure risk of HF radio under strong interference and remote distance conditions,an airborne high frequency emergency communication scheme based on speech recognition is designed. The speech signal is recognized and the semantic information is transmitted in this scheme. In order to insure the implementation of the given emergency communication scheme,embedded speech recognition system,speaker adaptation techniques and noise robust speech recognition methods are adopted to improve the accuracy. So emergency communication support for pilots can be ensured in aforementioned conditions. |
| Key words: airborne communication HF emergency communication speech recognition anti-jamming |
《电讯技术》编辑部 