Integration of Speech and Natural Language Understanding for Spoken Language Systems (SLS)
نویسنده
چکیده
SRI is developing a multi-modal interface to an air travel database that will permit cooperative planning via interactive human-machine problem solving. The project goals are real-time, large vocabulary (3000 words), high semantic accuracy (90%), speaker-independent understanding of spontaneously spoken natural language in a restricted domain. The grammar should be shown to be habitable and the system should be robust to individual differences in dialect and speaking style. The design should be easily portable to a variety of applications.
منابع مشابه
Summary of Session 9 - Future Plans
Charles Wayne presented overviews for both the Spoken Language and Written Language Programs. Under the Spoken Language Program, he emphasized the integration of speech and natural language technology into Spoken Language Systems. The need for common corpora and tasks, as well as systematic, objective performance evaluation, was stressed for both the Spoken and Written Language Programs. In the...
متن کاملRobust Continuous Speech Recognition Technology Program Summary
The major objective of this program is to develop and demonstrate robust, high-performance continuous speech recognition (CSR) techniques and systems focused on applications in spoken language systems (SLS). A key supporting objective is to develop techniques for integration of CSR and natural language processing (NLP) systems in SLS applications. The CSR techniques are based on a continuousobs...
متن کاملRobust Speech Recognition Technology Program Summary
The major objective of this program is to develop and demonstrate robust, high-performance continuous speech recognizer (CSR) techniques and systems focused on application in spoken language systems (SLS). A key supporting objective is to develop techniques for integration of CSR and natural language processing (NLP) systems in SLS applications. The CSR techniques are based on a continuous-obse...
متن کاملDeveloping an Evaluation Methodology for Spoken Language Systems
There has been a long-standing methodology for evaluating work in speech recognition (SR), but until recently no community-wide methodology existed for either natural language (NL) researchers or speech understanding (SU) researchers for evaluating the systems they developed. Recently considerable progress has been made by a number of groups involved in the DARPA Spoken Language Systems (SLS) p...
متن کاملSemantic language models with deep neural networks
Spoken language systems (SLS) communicate with users in natural language through speech. There are two main problems related to processing the spoken input in SLS. The first one is automatic speech recognition (ASR) which recognizes what the user says. The second one is spoken language understanding (SLU) which understands what the user means. We focus on the language model (LM) component of SL...
متن کامل