Spoken Queries Research Articles

Adjustable resource based speech recognition system

A real-time speech recognition system includes distributed processing across a client and server for recognizing a spoken query by a user. Both the client and server can dedicate a variable number of processing resources for performing speech recognition functions. The partitioning of responsibility for speech recognition operations can be done on a client by client or connection by connection basis.

Translation Disambiguation in Mixed Language Queries

Code-switching is very common among bilingual speakers. Spoken queries by these speakers are typically in mixed language. In this paper, we propose an unsupervised method for mixed-language query understanding, using only a monolingual corpus and a bilingual dictionary. Secondary-language words mixed in a primary-language query are translated into words in the primary language. We found that using a single disambiguation feature for translation is more effective than using multiple features, provided this feature is based on the most salient seed-word, chosen automatically by con?dence scoring. We propose and compare four types of disambiguation features that are based on context seed-words. A baseline method uses the nearest neighboring seed-word as disambiguation feature. Multiple-context seed-word voting is also proposed in order to enlarge the context window. On the other hand, merely using the inverse-distance as weights on context words degrades the performance as it runs counter to the potential underlying syntactic relations between words. Our ?nal proposal is a solution that uses multiple-context seed-words and the translation candidates of all mixed language words to select a single most salient seed-word for translation disambiguation. The translation disambiguation accuracy for this feature is at 83.7% for all words in the ATIS spontaneous speech query database, and 66.7% for content words.

An Overview of the Slovenian Spoken Dialog System

In the paper we present the modules of the Slovenian spoken dialog system, developed within the joint project in multilingual speech recognition and understanding “Spoken Queries in European Languages” (SQEL-Copernicus-1634). The system can handle spontaneous speech and provide the user with correct information in the domain of air flight information retrieval. The major modules of the system perform word recognition, linguistic analysis, dialog management and speech synthesis. Some results with respect to word accuracy, semantic accuracy and dialog success rate are given, too.