Towards Highly Usable and Robust Spoken Language Technologies for Chinese
نویسنده
چکیده
This paper gives an overview of our research on Chinese spoken language technologies during the past ten years. It covers fundamental acoustic-phonetic studies of spoken Cantonese, speech corpora development, automatic speech recognition and text-to-speech. Currently our focus is on making these technologies more usable for general users who are not speech experts, and more robust for real-world applications. This effort results in a set of easy-to-use software tools that facilitate efficient prototyping of speech recognition and text-to-speech applications. This paper describes the capabilities of these tools and the design principles behind. Our recent research on various topics of robust speech recognition is also described.
منابع مشابه
Spoken language understanding in a Chinese spoken dialogue system engine
In this paper, we introduce the method of spoken language understanding in the Linguistic Processor of a Chinese Spoken Dialogue System Engine. The Linguistic Processor is conceived for the development of simple, robust nature language interfaces to different applications. It is designed for extracting meaning representation from Chinese spoken utterances. Its strategy is to apply grammatical c...
متن کاملUsable, Real-Time, Interactive Spoken Language Systems
The primary objective of this project is to develop a robust, high-performance, domain-independent spoken language system. This system, termed HARC (Hear and Respond to Continuous speech), is composed of the BYBLOS speech recognition system and the DELPHI natural language understanding system. The goal is to develop systems that exhibit the following advances: high-accuracy speech understanding...
متن کاملChinese spoken language understanding across domain
A robust parsing model for spontaneous Chinese based on semantic constituent spotting and concept assembling model (SCAM) had been successfully developed in our “LOADSTAR”dialog system[1]. It is a travel information accessing system and the SCAM is rule based. Considering the domain portability, a statistical model for spoken language understanding is adopted. The statistical spoken language un...
متن کاملWhy is the special structure of the language important for Chinese spoken language processing? - examples on spoken document retrieval, segmentation and summarization
The Chinese language is not only spoken by the largest population in the world, but quite different from many western languages with a very special structure. It is not alphabetic: large number of Chinese characters are ideographic symbols and pronounced as monosyllables. The open vocabulary nature, the flexible wording structure and the tone behavior are also good examples within the special s...
متن کاملStudies on Robust Language and Dialogue Processing for Spoken Dialogue Systems
In spoken dialogue systems, robust language processing for spontaneous speech understanding and robust dialogue processing for achieving user goal are inevitable. Previously, research of speech recognition and research of natural language understanding were done independently. At first glance, it seems to be no problem to combine these two technologies, because the purpose of speech recognition...
متن کامل