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Steven Rennie

Steven Rennie has 3 papers in our library, in 2015–2016, most of them on Dialogue systems, Speech & spoken language, English; often with George Saon, Hong-Kwang J. Kuo, Michael Picheny.

3 papers in our library · 2015–2016

OpenAlex · h-index 18 · 57 works · 4,130 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 270 times in our library · ⭐ Paper Stars ranking: #1098

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2006–2017 · 32 papers🏢IBMArmonk · United States2007–2017 · 21 papers🎓University of TorontoToronto · Canada2003–2008 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workSignal Processing · 2 works

🧭 Topics 4Research subjects and languages the work is about.Vision & language · 1 workDialogue systems · 2 worksEnglish · 2 worksSpeech & spoken language · 2 works

 Works by year

2010s

20162 papersSteven Rennie's papers of 201620151 paperThe IBM 2015 English Conversational Telephone Speech Recognition System

 Papers

The most cited first (OpenAlex and our library).

  1. Self-critical Sequence Training for Image Captioning (2016 · 2,374 citations)
    Image captioning models are usually trained with word-level cross-entropy and teacher forcing. They are then judged with non-differentiable sentence metrics such as CIDEr or BLEU. This creates two problems: exposure bias, and a gap between the training objective and the evaluation metric. Rennie et al. (IBM Watson)…
  2. The IBM 2015 English Conversational Telephone Speech Recognition System (2015 · 96 citations)
    The paper reports how IBM improved its English recognizer for conversational telephone speech. The benchmark is the Switchboard part of the Hub5-2000 evaluation. Training used 1975 hours of two-party phone conversations from Switchboard 1, Fisher and CallHome. The authors argue that no single trick is enough and that…
  3. The IBM 2016 English Conversational Telephone Speech Recognition System (2016 · 3 citations)
    The paper reports how IBM pushed English conversational telephone speech recognition to a record word error rate of 6.6% on the Switchboard portion of the Hub5 2000 evaluation.

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 270 times (of the 141,840 papers whose bibliographies we read); 25 citing papers with a page here →.

Updated

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