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A Regression Approach to Speech Enhancement Based on Deep Neural Networks
In contrast to the conventional minimum mean square error (MMSE)-based noise reduction techniques, we propose a supervised method to enhance speech by means of finding a mapping function betweenExpand
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A segment model based approach to speech recognition
Proposes a global acoustic segment model for characterizing fundamental speech sound units and their interactions based upon a general framework of hidden Markov models (HMM). Each segment modelExpand
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Automatic recognition of keywords in unconstrained speech using hidden Markov models
The modifications made to a connected word speech recognition algorithm based on hidden Markov models (HMMs) which allow it to recognize words from a predefined vocabulary list spoken in anExpand
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Auto-induced semantic classes
Abstract Advanced computer dialogue agents contain a natural language understanding component that requires knowledge of semantic classes and concepts. These are frequently generated manually for newExpand
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Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states
A promising recent development in the study of brain function is the dynamic analysis of resting-state functional MRI scans, which can enhance understanding of normal cognition and alterations thatExpand
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An overview on automatic speech attribute transcription (ASAT)
Automatic Speech Attribute Transcription (ASAT), an ITR project sponsored under the NSF grant (IIS-04-27113), is a cross-institute effort involving Georgia Institute of Technology, The Ohio StateExpand
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Discriminative training of language models for speech recognition
In this paper we describe how discriminative training can be applied to language models for speech recognition. Language models are important to guide the speech recognition search, particularly inExpand
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OASIS natural language call steering trial
A recent trial of natural language call steering on live UK calls to the operator is described along with its results. The characteristics of the problem are described along with the acoustic,Expand
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Progress Report on the Chronus System: ATIS Benchmark Results
The speech understanding system we propose in this paper is based on the stochastic modeling of a sentence as a sequence of elemental units that represent its meaning. According to this paradigm, theExpand
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A study on task-independent subword selection and modeling for speech recognition
We study two key issues in task independent training, namely selection of a universal set of subword units and modeling of the selected units. Since no a priori knowledge about the applicationExpand
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