RIA: Vocabulary-Independent Modeling for Continuous Speech Recogntion

这项研究启动奖将帮助李博士扩展非常成功的SPHINX语音识别系统，以减少对新任务的特定词汇训练。提出的技术包括语音变化的语言建模、自动子词聚类和增量词汇适应。研究应在子词建模和融合语言学理论、统计学习理论和增量学习理论方面提供见解。

This Research Initiation Award will help Dr. Lee to extend the highly successful SPHINX speech recognition system to require less vocabulary-specific training for new tasks. Proposed techniques include linguistic modeling of allophonic variations, automatic subword clustering, and incremental vocabulary adaptation. The research should provide insights into subword modeling and fusion of linguistic theory, statistical learning, and incremental learning theory.