Publications
-
Mixture Input Transformations for Adaptation of Hybrid Connectionist Speech Recognizers
In this paper, we propose a new algorithm to train mixtures of transformation networks (MTNs) in the hybrid connectionist recognition framework. We apply the new algorithm to nonnative speaker adaptation,…
-
Structure and Performance of a Dependency Language Model
We present a maximum entropy language model that incorporates both syntax and semantics via a dependency grammar.
-
Speech: A Privileged Modality
In this article, we use our interaction model to demonstrate that during multimodal fusion, speech should be a privileged modality, driving the interpretation of a query, and that in certain…
-
Multimodal Interfaces for Internet
In this paper, we present a Java-enabled application with a multimodal (pen and voice) interface over the web. Our implementation approach was to add Java to the set of languages…
-
Using Differential Constraints to Reconstruct Complex Surfaces from Stereo
Stereo reconstruction algorithms often fail to properly deal with complex surfaces, because there is not enough image information. We propose to guide the reconstruction process using a priori information about…
-
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…
-
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…
-
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…
-
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.
-
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…
-
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…
-
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…