Robust speech dialog interface for car telematics service

N. Hataoka, Y. Buchi, T. Mitamura, Eric Nyberg
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引用次数: 19

Abstract

We describe new consumer services based on speech processing technologies to support a new digital/mobile era of ubiquitous communication. First, we propose, a compact and noise robust embedded speech recognition middleware implemented on microprocessors focused on sophisticated HMIs (human machine interfaces) for car information systems (i.e. car telematics). Second, we report on a novel and sophisticated dialog management/manager (DM) system, based on VoiceXML (voice extensible markup language), called CAMMIA (conversational agent for multimedia mobile information access). The proposed DM handles two important issues: an automatic generation scheme for lexicons and grammars, and an effective combination/merger between automatic speech recognition (ASR) and natural language processing (NLP). The new DM scheme has been evaluated for an application of the car telematics service task after integration with ASR and a VoiceXML interpreter (VXI).
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鲁棒语音对话界面的汽车远程信息处理服务
我们描述了基于语音处理技术的新的消费者服务,以支持无处不在的通信的新数字/移动时代。首先,我们提出了一种紧凑且噪声鲁棒的嵌入式语音识别中间件,该中间件实现在微处理器上,专注于汽车信息系统(即汽车远程信息处理)的复杂hmi(人机界面)。其次,我们报告了一种新颖而复杂的对话管理/管理(DM)系统,该系统基于VoiceXML(语音可扩展标记语言),称为CAMMIA(多媒体移动信息访问会话代理)。该模型处理了两个重要的问题:词汇和语法的自动生成方案,以及自动语音识别(ASR)和自然语言处理(NLP)之间的有效结合/合并。在与ASR和VoiceXML解释器(VXI)集成后,对新DM方案在汽车远程信息处理服务任务中的应用进行了评估。
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