Portability challenges in developing interactive dialogue systems
Portability challenges in developing interactive dialogue systems
复制标题
开发交互式对话系统的可移植性挑战
DOI：
10.1109/icassp.2005.1416479
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
H. Kuo
中科院分区：
文献类型：
--
作者：
Yuqing Gao;L. Gu;H. Kuo
在开发交互式对话系统中常用的统计方法需要大量的训练数据来实现高精度和稳健性。这成为在新领域或新语言中构建自由风格对话系统的主要瓶颈。因此，在如何在数据收集、转录和注释方面以低成本快速建立统计模型方面出现了可移植性挑战。在本文中，我们讨论了在有效的语言建模、未转录语音数据的利用、自动标注和跨语言建模等几个关键问题上的挑战和潜在的解决方案。我们认为，目前在这些领域采取的办法还远远不成熟，需要研究界作出认真努力。
Statistical methods commonly used in developing interactive dialogue systems require large amounts of training data to achieve high accuracy and robustness. This becomes a major bottleneck in building free-style dialogue systems in a new domain or for a new language. Portability challenges hence arise regarding how to build statistical models rapidly and with low cost in terms of data collection, transcription and annotation. In this paper, we discuss challenges as well as potential solutions in several critical issues of efficient language modeling, utilization of untranscribed speech data, automatic annotation, and cross-lingual modeling. We believe that current approaches in these areas are far from mature and call for serious efforts from the research community.