Publications
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Generation of fast interpreters for Huffman compressed bytecode
Our approach uses canonical Huffman codes to generate compact opcodes with custom-sized operand fields and with a virtual machine that directly executes this compact code. In effect, this automatically creates…
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Leveraging Speaker-dependent Variation of Adaptation
This work introduces an automatic procedure for determining the size of regression class trees for individual speakers using an ensemble of speaker-level features to control the number of transformations, if…
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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…
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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…
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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…
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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…
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Two Experiments Comparing Reading with Listening for Human Processing of Conversational Telephone Speech
We report on results of two experiments designed to compare subjects’ ability to extract information from audio recordings of conversational telephone speech (CTS) with their ability to extract information from…
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Spoken Language Understanding
SLU systems contain an automatic speech recognition (ASR) component and must be robust to noise due to the spontaneous nature of spoken language and the errors introduced by ASR. SLU…
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Development of a Conversational Telephone Speech Recognizer for Levantine Arabic
In this paper, we describe the development of a large-vocabulary speech recognition system for Levantine Arabic, which was a new dialectal recognition task for our existing system. We discuss the…
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Meeting Structure Annotation: Data and Tools
We present a set of annotations of hierarchical topic segmentations and action item sub-dialogues collected over 65 meetings from the ICSI and ISL meeting corpora, designed to support automatic meeting…
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Does Active Learning Help Automatic Dialog Act Tagging in Meeting Data?
We ask if active learning with lexical cues can help for this task and this domain. To better address this question, we explore active learning for two different types of…
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Pushing the Envelope — Aside
Despite successes, there are still significant limitations to speech recognition performance. For this reason, authors have proposed methods that incorporate different (and larger) analysis windows, which are described in this…