Publications
-
Multirate ASR Models for Phone-Class Dependent N-Best List Rescoring
In this work, we describe a technique to augment a recognizer that uses this compromise with information from multiple-rate spectral models that emphasize either better time or better frequency resolution…
-
A Cognitive Framework for Delegation to an Assistive User Agent
We present a BDI-based framework for a cognitive agent that acts as an assistant to a human user by performing tasks on her behalf. This framework accommodates: (1) user delegation…
-
Incorporating Tandem / HATs MLP Features into SRI’s Conversational Speech Recognition System
We describe the development of a speech recognition system for conversational telephone speech (CTS) that incorporates acoustic features estimated by multilayer perceptrons (MLPs). The acoustic features are based on frame-level…
-
Task Management under Change and Uncertainty: Constraint Solving Experience with the CALO Project
We outline the challenges and opportunities presented by constraint solving in the presence of change and uncertainty, embodied in CALO's personalized time management and task reasoning and execution systems.
-
Singapore Tablet PC Program Study: Executive Summary and Final Report, Volume 1, Technical Findings
-
Mapping The Distribution Of Expertise And Resources In A School: Investigating The Potential Of Using Social Network Analysis In Evaluation
This paper describes results of a study investigating the potential of using social network analysis to evaluate the capacity of a school to undertake a schoolwide educational reform.
-
Singapore Tablet PC Program Study: Executive Summary and Final Report, Volume 2, Technical Appendicies
-
VERL: An ontology framework for representing and annotating video events
This article describes the findings of a recent workshop series that has produced an ontology framework for representing video events-called Video Event Representation Language (VERL) -and a companion annotation framework,…
-
Class-dependent Score Combination for Speaker Recognition
In this work, we are presenting a class-based score combination technique that relies on clustering of both the target models and the test utterances in a vector space defined by…
-
MLLR Transforms as Features in Speaker Recognition
We explore the use of adaptation transforms employed in speech recognition systems as features for speaker recognition. This approach is attractive because, unlike standard frame-based cepstral speaker recognition models, it…
-
Using MLP Features in SRI’s Conversational Speech Recognition System
We describe the development of a speech recognition system for conversational telephone speech (CTS) that incorporates acoustic features estimated by multilayer perceptrons (MLP). The acoustic features are based on frame-level…
-
Robust Feature Compensation in Nonstationary and Multiple Noise Environments
We extend the POF algorithm to allow a more accurate way to select noisy-to-clean feature mappings, by allowing different combinations of speech and noise to have combination-specific mappings selected depending…