Graceful degradation of speech recognition performance over lossy packet networks

Graceful degradation of speech recognition performance over lossy packet networks
复制标题

有损数据包网络上语音识别性能的优雅降级

DOI：
10.21437/eurospeech.2001-635
复制
发表时间：
2001
期刊：
--
影响因子：
--
通讯作者：
Mari Ostendorf
Mari Ostendorf
中科院分区：
--
文献类型：
--
作者：
E. Riskin;Constantinos Boulis;Scott Otterson;Mari Ostendorf

文献摘要

被引文献

相似文献

本文探讨了在客户端-服务器自动语音识别（ASR）系统中的数据包丢失恢复。前向纠错（FEC）系统的设计和测试在几个信道损耗模型，在变量的数据采集延迟。在具有模拟分组丢失的实验中，FEC系统提供了鲁棒的ASR性能，其随着分组丢失率的增加而适度地降低。在低和中等损耗信道条件下将该方案与几种替代方案进行比较，我们发现一种方法（多传输加插值）产生类似的性能，但是FEC系统应该更好地扩展到较低比特率条件。
This paper explores packet loss recovery in client-server Au-tomatic Speech Recognition (ASR) systems. A forward error correction (FEC) system is designed and tested over several channel loss models, at variable amounts of data acquisition delay. In experiments with simulated packet loss, the FEC system provides robust ASR performance which degrades gracefully as packet loss rates increase. Comparing this scheme to several alternatives under low and medium loss channel conditions, we found one approach (multiple transmission plus interpolation) that yielded similar performance, but the FEC system should scale better to lower bit rate conditions.