Workshop Team Members and Affiliates (2008)
Katrin Kirchhoff, Katrin Kirchhoff, John Henderson Mitre, Richard Schwartz Bbn, Mohamed Noamany Bbn, Pat Schone, ...
2005b. Structured multi-label transductive learning (2008)
This paper explores structured multi-label transductive clustering for learning lexical part-of-speech information in sparse-data scenarios. We propose three ways of extending existing transductive...
LANDMARK-BASED SPEECH RECOGNITION: REPORT OF THE 2004 (2008)
Johns Hopkins, Summer Workshop, Mark Hasegawa-johnson, James Baker, Sarah Borys, Ken Chen, ...
Three research prototype speech recognition systems are described, all of which use recently developed methods from artificial intelligence (specifically support vector machines, dynamic Bayesian...
Pomona College, Swarthmore College, (2008)
Katrin Kirchhoff, Jeff Bilmes, Sourin Das, Nicolae Duta, Melissa Egan, Gang Ji, ...
of Defense, � SRI Although Arabic is currently one of the most widely spoken languages in the world, there has been relatively little speech recognition research on Arabic compared to other...
OOV DETECTION BY JOINT WORD/PHONE LATTICE ALIGNMENT (2008)
Hui Lin, Jeff Bilmes, Dimitra Vergyri, Katrin Kirchhoff
We propose a new method for detecting out-of-vocabulary (OOV) words for large vocabulary continuous speech recognition (LVCSR) systems. Our method is based on performing a joint alignment between...
Speech T)TYt=3p(f1:K Recognition tjf1:K t?1;f1:K (2008)
Dimitra Vergyri, Katrin Kirchhoff
Morphology-Based Language Modeling p(f1:K for
Ivan Bulyko, Mari Ostendorf, Julie Goldberg, Katrin Kirchhoff
Abstract goes here. 1.
Factored Language Models Tutorial (2007)
Katrin Kirchhoff, Jeff Bilmes, Kevin Duh, Katrin Kirchhoff, Jeff Bilmes, Kevin Duh
The Factored Language Model (FLM) is a flexible framework for incorporating various information sources, such as morphology and part-of-speech, into language modeling. FLMs have so far been...
Recent innovations in speech-to-text transcription at sri-icsi-uw (2006)
Andreas Stolcke, Senior Member, Barry Chen, Horacio Franco, Venkata Ramana Rao, Martin Graciarena, ...
Abstract — We summarize recent progress in automatic speechto-text
Graphical model representations of word lattices (2006)
Gang Ji, Jeff Bilmes, Jeff Michels, Katrin Kirchhoff, Chris Manning
We introduce a method for expressing word lattices within a dynamic graphical model. We describe a variety of choices for doing this, including a technique to relax the time information associated...
Graphical model representations of word lattices (2006)
Gang Ji, Jeff Bilmes, Jeff Michels, Katrin Kirchhoff, Chris Manning
We introduce a method for expressing word lattices within a dynamic graphical model. We describe a variety of choices for doing this, including a technique to relax the time information associated...
Statistical machine translation of parliamentary proceedings using morpho-syntactic knowledge (2006)
Katrin Kirchhoff, Mei Yang, Kevin Duh
This paper presents an overview of the University of Washington statistical machine translation system developed for the 2006 TCSTAR evaluation campaign. We use a statistical phrase-based system with...
and et.al., “The Vocal Joystick (2006)
Jeff A. Bilmes, Jonathan Malkin, Xiao Li, Susumu Harada, Kelley Kilanski, Katrin Kirchhoff, ...
The Vocal Joystick is a novel human-computer interface mechanism designed to enable individuals with motor impairments to make use of vocal parameters to control objects on a computer screen...
Recent innovations in speech-to-text transcription at sri-icsi-uw (2006)
Andreas Stolcke, Senior Member, Barry Chen, Horacio Franco, Venkata Ramana Rao, Martin Graciarena, ...
Abstract — We summarize recent progress in automatic speechto-text
Jeff A. Bilmes, Xiao Li, Jonathan Malkin, Kelley Kilanski, Richard Wright, Katrin Kirchhoff, ...
We present a novel voice-based humancomputer interface designed to enable individuals with motor impairments to use vocal parameters for continuous control tasks. Since discrete spoken commands are...
Jeff A. Bilmes, Xiao Li, Jonathan Malkin, Kelley Kilanski, Richard Wright, Katrin Kirchhoff, ...
We present a novel voice-based humancomputer interface designed to enable individuals with motor impairments to use vocal parameters for continuous control tasks. Since discrete spoken commands are...
Jeff A. Bilmes, Xiao Li, Jonathan Malkin, Kelley Kilanski, Richard Wright, Katrin Kirchhoff, ...
We present a novel voice-based humancomputer interface designed to enable individuals with motor impairments to use vocal parameters for continuous control tasks. Since discrete spoken commands are...
2.2 Speech Perception: Landmarks.............................. 9 (2005)
James Baker, Steven Greenberg, Katrin Kirchhoff, Jennifer Muller, Kemal Sönmez, Sarah Borys, ...
Genetic triangulation of graphical models for speech and language processing (2005)
Chris Bartels, Kevin Duh, Jeff Bilmes, Katrin Kirchhoff
Graphical models are an increasingly popular approach for speech and language processing. As researchers design ever more complex models it becomes crucial to find triangulations that make inference...
Morphology-based language modeling for Arabic speech recognition (2004)
Dimitra Vergyri, Katrin Kirchhoff, Kevin Duh, Andreas Stolcke
Language modeling is a difficult problem for languages with rich morphology. In this paper we investigate the use of morphology-based language models at different stages in a speech recognition...
Automatic learning of language model structure (2004)
Kevin Duh, Kevin Duh, Katrin Kirchhoff, Katrin Kirchhoff
In spite of recent advances in statistical algorithms and increased availability of large text corpora, statistical language modeling remains a challenging task, in particular for morphologically...
Disfluencies, and Conversational Fillers in Spontaneous Speech (2004)
Mari Ostendorf, Katrin Kirchhoff, Joungbum Kim, Joungbum Kim, Joungbum Kim
Automatic Detection of Sentence Boundaries, Disfluencies, and Conversational Fillers in Spontaneous Speech Joungbum Kim Chair of Supervisory Committee: Professor Mari Ostendorf Electrical Engineering...
Automatic Learning of Language Model Structure (2004)
Statistical language modeling remains a challenging task, in particular for morphologically rich languages. Recently, new approaches based on factored language models have been developed to address...
Morphology-based language modeling for Arabic speech recognition (2004)
Dimitra Vergyri, Katrin Kirchhoff
dverg,stolcke£ Language modeling is a difficult problem for languages with rich morphology. In this paper we investigate the use of morphology-based language models at different stages in a speech...
Automatic learning of language model structure (2004)
Kevin Duh, Kevin Duh, Katrin Kirchhoff, Katrin Kirchhoff
In spite of recent advances in statistical algorithms and increased availability of large text corpora, statistical language modeling remains a challenging task, in particular for morphologically...
The impact of response wording in error correction subdialogs (2003)
Julie Goldberg, Mari Ostendorf, Katrin Kirchhoff
Spoken human-machine dialogs are prone to communication failures due to imperfect speech recognition and understanding. In order to recover from these failures, users typically engage in error...
Directions for Multi-Party Human-Computer Interaction Research (2003)
Katrin Kirchhoff, Mari Ostendorf
Research on dialog systems has so far concentrated on interactions between a single user and a machine. In this paper we identify novel research directions arising from multi-party human computer...
Factored language models and generalized parallel backoff (2003)
Jeff A. Bilmes, Katrin Kirchhoff
We introduce factored language models (FLMs) and generalized parallel backoff (GPB). An FLM represents words as bundles of features (e.g., morphological classes, stems, data-driven clusters, etc.),...
Factored Language Models and Generalized Parallel Backoff (2003)
Jeff A. Bilmes, Katrin Kirchhoff
We introduce factored language models (FLMs) and generalized parallel backoff (GPB). An FLM represents words as bundles of features (e.g., morphological classes, stems, data-driven clusters, etc.),...
Low-Resource Noise-Robust Feature Post-Processing On Aurora 2.0 (2002)
We present a highly effective and extremely simple noiserobust front end based on novel post-processing of standard MFCC features. It performs remarkably well on the Aurora 2.0 noisydigits database...
The 2001 GMTK-Based Spine ASR System (2002)
Özgür Cetin, Harriet J. Nock, Katrin Kirchhoff, Jeff Bilmes, Mari Ostendorf
This paper provides a detailed description of the University of Washington automatic speech recognition (ASR) system for the 2001 DARPA SPeech In Noisy Environments (SPINE) task. Our system makes...
The 2001 GMTK-based SPINE ASR system (2002)
Özgür Çetin, Harriet J. Nock, Katrin Kirchhoff, Jeff Bilmes, Mari Ostendorf
This paper provides a detailed description of the University of Washington automatic speech recognition (ASR) system for the 2001 DARPA SPeech In Noisy Environments (SPINE) task. Our system makes...
Conversational speech recognition using acoustic and articulatory input (2000)
The combination of multiple speech recognizers based on different signal representations is increasingly attracting interest in the speech community. In previous work we presented a hybrid speech...
Conversational speech recognition using acoustic and articulatory input (2000)
Katrin Kirchhoff, Gernot A. Fink, Gerhard Sagerer, Ag Angewandte Infoxnatik
The combination of multiple speech recognizers based on different speech signal representations is increasingly attracting interest in the speech community. In previous work we presented a hybrid...
Combination and joint training of acoustic classifiers for speech recognition (2000)
Katrin Kirchhoff, Jeff A. Bilmes
Classifier combination is a technique that often provides significant improvements in accuracy, and also furnishes a useful mechanism to support multi-modal information sources. In this paper we...
Directed graphical models of classifier combination: Application to phone recognition (2000)
Jeff A. Bilmes, Katrin Kirchhoff
Classifier combination is a technique that often provides appreciable accuracy gains. In this paper, we argue that the underlying statistical model of classifier combination should be made explicit....
Directed graphical models of classifier combination: Application to phone recognition (2000)
Jeff A. Bilmes, Katrin Kirchhoff
Classifier combination is a technique that often provides appreciable accuracy gains. In this paper, we argue that the underlying statistical model of classifier combination should be made explicit....
Mixed-Memory Markov Models For Automatic Language Identification (2000)
Katrin Kirchhoff, Sonia Parandekar, Jeff Bilmes
Automatic language identification (LID) continues to play an integral part in many multilingual speech applications. The most widespread approach to LID is the phonotactic approach, which performs...
Statistical acoustic indications of coarticulation (1999)
Katrin Kirchhoff, Jeff A. Bilmes
Coarticulation in speech is one of the most difficult problems for automatic speech recognition (ASR) systems. The degree of coarticulation is assumed to vary with contextual conditions, such as...
Katrin Kirchhoff, Ag Angewandte Informatik, Jeff A. Bilmes
A recent development in the hybrid HMM/ANN speech recognition paradigm is the use of several subword classifiers, each of which provides different information about the speech signal. Although the...
Katrin Kirchhoff Ag, Katrin Kirchhoff, Ag Angewandte Informatik
A recent development in the hybrid HMM/ANN speech recognition paradigm is the use of several subword classifiers, each of which provides different information about the speech signal. Although the...
Robust Speech Recognition Using Articulatory Information (1999)
Katrin Kirchhoff, Bielefeld Juni
Current automatic speech recognition systems make use of a single source of information about their input, viz. a preprocessed form of the acoustic speech signal, which encodes the timefrequency...
Statistical Acoustic Indications Of Coarticulation (1999)
Katrin Kirchhoff, Jeff A. Bilmes
Coarticulation in speech is one of the most difficult problems for automatic speech recognition (ASR) systems. The degree of coarticulation is assumed to vary with contextual conditions, such as...
Katrin Kirchhoff, Ag Angewandte Informatik, Jeff A. Bilmes
A recent development in the hybrid HMM/ANN speech recognition paradigm is the use of several subword classifiers, each of which provides different information about the speech signal. Although the...
Statistical Acoustic Indications Of Coarticulation (1999)
Katrin Kirchhoff, Jeff A. Bilmes
Coarticulation in speech is one of the most difficult problems for automatic speech recognition (ASR) systems. The degree of coarticulation is assumed to vary with contextual conditions, such as...
Katrin Kirchhoff, Ag Angewandte Informatik
A recent development in the hybrid HMM/ANN speech recognition paradigm is the use of several subword classifiers, each of which provides different information about the speech signal. Although the...
Statistical acoustic indications of coarticulation (1999)
Coarticulation in speech is one of the most difficult problems for automatic speech recognition (ASR) systems. The degree of coarticulation is assumed to vary with contextual conditions, such as...
Robust speech recognition using articulatory information / (1999)
Bielefeld, University, Diss., 1999.
Katrin Kirchhoff, Ag Angewandte Informatik
Robust speech recognition under varying acoustic conditions may be achieved by exploiting multiple sources of information in the speech signal. In addition to an acoustic signal representation, we...
Robust Speech Recognition Using Articulatory Information (1998)
Whereas most state-of-the-art speech recognition systems use spectral or cepstral representations of the speech signal, there have also been some promising attempts at using articulatory information....
Katrin Kirchhoff, Ag Angewandte Informatik
Robust speech recognition under varying acoustic conditions may be achieved by exploiting multiple sources of information in the speech signal. In addition to an acoustic signal representation, we...
Two-level modelling of speech variant rules. Verbmobil (1995)
Katrin Kirchhoff, Katrin Kirchhoff, Geh Antragsabschnitt, Interaktive Phonologische Interpretation
This paper describes a phonetic knowledge base for German consisting of a set of speech variant rules. These rules have been established on the basis of empirical, corpus-based investigations...