Computer Speech & Language publishes reports of original research related to the recognition, understanding, production, coding and mining of speech and language.The speech and language sciences have a long history, but it is only relatively recently that large-scale implementation of and experimentation with complex models of speech and language processing has become feasible. Such research is often carried out somewhat separately by practitioners of artificial intelligence, computer science, electronic engineering, information retrieval, linguistics, phonetics, or psychology.The journal provides a focus for this work, and encourages an interdisciplinary approach to speech and language research and technology. Thus contributions from all of the related fields are welcomed in the form of reports of theoretical or experimental studies, tutorials, reviews, and brief correspondence pertaining to models and their implementation, or reports of fundamental research leading to the improvement of such models.Research Areas IncludeAlgorithms and models for speech recognition and synthesisNatural language processing for speech understanding and generationStatistical computational linguisticsComputational models of discourse and dialogueInformation retrieval, extraction and summarizationSpeaker and language recognitionComputational models of speech production and perceptionSignal processing for speech analysis, enhancement and transformationEvaluation of human and computer system performance
计算机语音与语言出版关于语音与语言识别、理解、生成、编码和挖掘的原始研究报告。语音和语言科学有着悠久的历史，但直到最近才开始大规模实施和实验复杂的语音和语言处理模型。这类研究通常由人工智能、计算机科学、电子工程、信息检索、语言学、语音学或心理学的从业者分别进行。该杂志为这项工作提供了一个重点，并鼓励跨学科的方法，以语音和语言研究和技术。因此，欢迎所有相关领域的贡献，包括理论或实验研究报告、教程、评论、与模型及其实现相关的简短通信，或导致改进这些模型的基础研究报告。研究领域包括：语音识别和合成的算法和模型语言理解和生成的自然语言处理统计计算语言学话语和对话的计算模型信息检索、提取和总结说话人与语言认知语音产生和感知的计算模型用于语音分析、增强和转换的信号处理评估人类和计算机系统的性能
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