Improved name recognition with user modeling
نویسندگان
چکیده
Speech recognition of names in Personal Information Management (PIM) systems is an important yet difficult task. The difficulty arises from various sources: the large number of possible names that users may speak, different ways a person may be referred to, ambiguity when only first names are used, and mismatched pronunciations. In this paper we present our recent work on name recognition with User Modeling (UM), i.e., automatic modeling of user’s behavior patterns. We show that UM and our learning algorithm lead to significant improvement in the perplexity, Out Of Vocabulary rate, recognition speed, and accuracy of the top recognized candidate. The use of an exponential window reduces the perplexity by more than 30%.
منابع مشابه
Improved Bayesian Training for Context-Dependent Modeling in Continuous Persian Speech Recognition
Context-dependent modeling is a widely used technique for better phone modeling in continuous speech recognition. While different types of context-dependent models have been used, triphones have been known as the most effective ones. In this paper, a Maximum a Posteriori (MAP) estimation approach has been used to estimate the parameters of the untied triphone model set used in data-driven clust...
متن کاملSimplifying knowledge acquisition from end-users on the Semantic Web
In this position paper, we argue that improved mechanisms for knowledge acquisition on the semantic web (SW) will be necessary before it will be adopted widely by end-users. In particular, we propose an investigation surrounding improved languages for knowledge exchange, better UI mechanisms for interaction, and potential help from user modeling to enable accurate, efficient, SW knowledge model...
متن کاملSimplifying knowledge creation and access for end-users on the SW
In this position paper, we argue that improved mechanisms for knowledge acquisition and access on the semantic web (SW) will be necessary before it will be adopted widely by end-users. In particular, we propose an investigation surrounding improved languages for knowledge exchange, better UI mechanisms for interaction, and potential help from user modeling to enable accurate, efficient, SW know...
متن کاملHuman Computer Interaction Using Vision-Based Hand Gesture Recognition
With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...
متن کاملThe Development of an Integrated Modeling Environment
This paper suggests an approach of delivering a new generation of modeling tools with improved user interface without giving up the mathematical engines of currently available tools. The approach is presented through the description of an integrated environment for modeling computer systems and communication networks named IDEAS, which is currently under development at Duke University. The key ...
متن کامل