Researcher

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.

Timeline

  1. 1980

    A PhD in speech perception

    In 1980, he earns a PhD in cognitive psychology from Carnegie Mellon, focused on speech perception.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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

  1. NowCarnegie Mellon UniversityResearch Professor Emeritus

Education

  1. 1980Carnegie Mellon UniversityPhD

Sources and credits

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  1. SpeechTEK 2019 speechtek.com. Checked 21 October 2026.
  2. Alex Rudnicky's Home Page cs.cmu.edu. Checked 21 October 2026.
  3. The Allen Newell Award for Research Excellence - Previous Winners cs.cmu.edu. Checked 21 October 2026.
  4. Publications by Person | Carnegie Mellon University Computer Science Department csd.cmu.edu. Checked 21 October 2026.
  5. The RavenClaw Dialog Management Framework: Architecture and Systems - Microsoft Research microsoft.com. Checked 21 October 2026.
  6. Alexander Rudnicky - ACL Anthology aclanthology.org. Checked 21 October 2026.
  7. A Variational Framework for Improving Naturalness in Generative Spoken Language Models - Apple Machine Learning Research machinelearning.apple.com. Checked 21 October 2026.
  8. Alexander Rudnicky - Language Technologies Institute - School of Computer Science - Carnegie Mellon University lti.cmu.edu. Checked 21 October 2026.
  9. Faculty - Language Technologies Institute - Kenneth C. Griffin School of Computer Science - Carnegie Mellon University lti.cmu.edu. Checked 21 October 2026.