Publications
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Neural-Network Based Measures of Confidence for Word Recognition
This paper proposes a probabilstic framework to define and evaluate confidence measures for word recognition. We describe a novel method to combine different knowledge sources and estimate the confidence in…
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A Collaborative Environment for Authoring Large Knowledge Bases
Collaborative knowledge base (KB) authoring environments are critical for the construction of high-performance KBs. In this paper, we present an environment that satisfies many of these goals.
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Handset-Dependent Background Models for Robust Text-Independent Speaker Recognition
This paper studies the effects of handset distortion on telephone-based speaker recognition performance. Results on the 1996 NIST Speaker Recognition Evaluation corpus show that using handset-matched background models reduces false…
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Automatic Pronunciation Scoring for Language Instruction
In this paper we show that we can significantly improve HMM- based scores by using average phone segment posterior probabilities. Correlation between machine and human scores went up from r=0.50…
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Model Transformation for Robust Speaker Recognition from Telephone Data
In the context of automatic speaker recognition, we propose a model transformation technique that renders speaker models more robust to acoustic mismatches and to data scarcity by appropriately increasing their…
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HTTP://WWW.SPEECH.SRI.COM/DEMOS/ATIS.HTML
This paper presents a speech-enabled WWW demonstration based on the Air Travel Information System (ATIS) domain. SRI’s speech recognition technology and natural language understanding are fully integrated in a Java…
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Acoustic Modeling for the SRI Hub4 Partitioned Evaluation Continuous Speech Recognition System
We describe the development of the SRI system evaluated in the 1996 DARPA continuous speech recognition (CSR) Hub4 partitioned evaluation (PE). The task for the Hub4 evaluation was to recognition…
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Hub4 Language Modeling Using Domain Interpolation and Data Clustering
In SRI's language modeling experiments for the Hub4 domain, three basic approaches were pursued: interpolating multiple models estimated from Hub4 and non-Hub4 training data, adapting the language model (LM) to…
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Tapped In: A New On-Line Community Concept For The Next Generation Of Internet Technology
We present the theoretical foundations of our concept, the rationale behind the design of the TAPPED IN virtual environment, and our community-building approach.
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Globe Year 2 Evaluation: Implementation And Progress
GLOBE views the Earth as a dynamic system, with special attention to mapping and understanding patterns in the arts of Atmosphere, Hydrology, Land Cover/ Biology, Soil, and Global Positioning Systems…
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The Radius Common Development Environment
The application focus of RCDE is on image exploitation where the exploitation tasks are supported by 2D and 3D models of the geographic site being analyzed
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Color in computer vision: recent progress
This chapter introduces the basic principles underlying the physics and perception of color and reviews the state-of-the-art in color vision algorithms.