机译:来自概率转录的资源不足语言的ASR
University of Illinois at Urbana–Champaign, Champaign, IL, USA;
University of Illinois at Urbana–Champaign, Champaign, IL, USA;
University of Washington, Seattle, WA, USA;
University of Washington, Seattle, WA, USA;
Trinity College, University of Dublin, College Green, Dublin, Dublin, Ireland;
University of Illinois at Urbana–Champaign, Champaign, IL, USA;
University of Washington, Seattle, WA, USA;
Johns Hopkins University, Baltimore, MD, USA;
Johns Hopkins University, Baltimore, MD, USA;
Toyota Technological Institute Chicago, Chicago, IL, USA;
Trinity College, University of Dublin, College Green, Dublin, Dublin, Ireland;
Institute for Infocomm Research, Singapore;
Massachusetts Institute of Technology, Cambridge, MA, USA;
University of Washington, Seattle, WA, USA;
Columbia University, New York, NY, USA;
University of Washington, Seattle, WA, USA;
Speech; Electroencephalography; Probabilistic logic; Crowdsourcing; Brain models; Artificial neural networks;
机译:ASR的自动子词单元发现和发音词典归纳,并应用于资源不足的语言
机译:为资源贫乏的语言建立词网的原始研究策略:以非洲语言为例Crossref引用
机译:资源匮乏语言的基于众包的不匹配语言感知
机译:使用不匹配的转录使ASR适应资源不足的语言
机译:通用自然语言生成的基础:使用语言的概率模型实现句子。
机译:伊拉克巴士拉羊内脏中的囊性棘球co虫病:基于屠宰场的调查和基于包虫囊肿的直接经济损失的概率模型估计
机译:通过一种新的无监督声学模型训练技术增强资源不足语言的asR系统
机译:采用语音处理应用激发阿拉伯语脚本的语言转录方案