Alexander Rudnicky
Also known as Alex Rudnicky
Alexander Rudnicky is a Carnegie Mellon researcher whose work connects speech recognition, spoken dialogue and human–robot interaction. He earned a PhD in cognitive psychology in 1980, built web-based Sphinx tools in 1996, and shared the 2002 Allen Newell Award for speech-to-speech machine translation with seven other researchers. His 2009 RavenClaw and 2010 TeamTalk papers addressed spoken dialogue and human–robot interaction. Later papers examined language reasoning in recurrent networks and naturalness in generative speech. As of October 2026, he is Research Professor Emeritus at Carnegie Mellon's Language Technologies Institute.
- Links
- Google Scholar and LinkedIn
Timeline
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1980
A PhD in speech perception
In 1980, he earns a PhD in cognitive psychology from Carnegie Mellon, focused on speech perception.
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1996
Tools for the Sphinx recognizer
In 1996, he implements web-based tools that generate a knowledge base for the open-source Sphinx recognition system, including a language model and a pronouncing dictionary.
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2002
The Allen Newell Award
He shares the 2002 Allen Newell Award for Research Excellence with seven other researchers for speech-to-speech machine translation.
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2009
RavenClaw dialog management
In 2009, he coauthors RavenClaw: Dialog Management Using Hierarchical Task Decomposition and an Expectation Agenda with Dan Bohus. The plan-based dialog manager separates domain-specific control logic from reusable conversational skills and grows from CMU's Communicator work.
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2010
TeamTalk for robot dialogue
He coauthors a 2010 paper that describes TeamTalk as a platform for multi-human-robot dialogue research in coherent real and virtual spaces.
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2024
Linear recurrent networks
In 2024, he coauthors “Advancing Regular Language Reasoning in Linear Recurrent Neural Networks” with Ting-Han Fan and Ta-Chung Chi. The paper proposes a linear recurrent network with a block-diagonal, input-dependent transition matrix and tests length extrapolation on regular-language tasks.
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2025
Naturalness in generated speech
In July 2025, he coauthors a variational framework for naturalness in generative spoken-language models. The method automatically encodes continuous speech attributes into semantic tokens and produces speech continuations preferred by human raters.
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As of October 2026
Research Professor Emeritus
He is Research Professor Emeritus at Carnegie Mellon's Language Technologies Institute. His research centers on interactive systems that use speech and spoken interfaces.
Career
- NowCarnegie Mellon UniversityResearch Professor Emeritus
Education
- 1980Carnegie Mellon UniversityPhD
Sources and credits
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- SpeechTEK 2019
- Alex Rudnicky's Home Page
- The Allen Newell Award for Research Excellence - Previous Winners
- Publications by Person | Carnegie Mellon University Computer Science Department
- The RavenClaw Dialog Management Framework: Architecture and Systems - Microsoft Research
- Alexander Rudnicky - ACL Anthology
- A Variational Framework for Improving Naturalness in Generative Spoken Language Models - Apple Machine Learning Research
- Alexander Rudnicky - Language Technologies Institute - School of Computer Science - Carnegie Mellon University
- Faculty - Language Technologies Institute - Kenneth C. Griffin School of Computer Science - Carnegie Mellon University
