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首页> 外文会议>Annual conference of the International Speech Communication Association;INTERSPEECH 2011 >Phone Impact Based Speech Transmission Technique for Reliable Speech Recognition in Poor Wireless Network Conditions
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Phone Impact Based Speech Transmission Technique for Reliable Speech Recognition in Poor Wireless Network Conditions

机译：在无线网络状况不佳的情况下，基于电话影响的语音传输技术可实现可靠的语音识别

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摘要

This paper presents a preliminary study on an effective differ-entiable network service technique to achieve improved speech recognition under severely poor wireless channel conditions, by leveraging multiple priority levels applied to speech classes. Each speech class is assigned a different priority level based on its level of impact on speech recognition performance. Based on their priority level, frames of each speech class are given distinct levels of network quality of service (QoS) to satisfy the delay requirement and enable speech recognition at the receiver. This proposed Phone Impact (PI) based priority class is compared to the Voiced/Unvoiced (VU) based priority class in this study. The experimental results prove that the proposed scheme is effective at providing wireless network service for robust speech recognition under poor channel conditions, showing up to 2.67 dB and 5.93 dB lower Signal to Noise Ratio (SNR) operating regions compared to the VU based and plain protocols respectively. The PI based method also shows acceptable WERs at lower SNRs where VU and plain systems significantly degrade in speech recognition performance in case of retry limit of 6.
机译：本文提出了一种有效的可区分网络服务技术的初步研究，该技术可通过利用应用于语音类别的多个优先级来在严重恶劣的无线信道条件下实现改进的语音识别。根据每个语音类别对语音识别性能的影响程度，为每个语音类别分配不同的优先级。根据它们的优先级，为每个语音类的帧分配不同级别的网络服务质量（QoS），以满足延迟要求并在接收器处启用语音识别。在本研究中，将这种基于电话影响（PI）的优先级与基于浊音/清音（VU）的优先级进行了比较。实验结果证明，该方案可有效地在恶劣的信道条件下为健壮的语音识别提供无线网络服务，与基于VU的协议和普通协议相比，其信噪比（SNR）工作区域分别降低了2.67 dB和5.93 dB分别。基于PI的方法还显示出在较低SNR时可接受的WER，其中在重试限制为6的情况下，VU和普通系统的语音识别性能显着下降。

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