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Tom Sercu

Tom Sercu has 2 papers in our library, in 2016–2017, most of them on Dialogue systems, Speech & spoken language, English; often with George Saon, Bhuvana Ramabhadran, Gakuto Kurata.

2 papers in our library · 2016–2017

OpenAlex · ORCID · h-index 21 · 47 works · 12,835 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 36 times in our library · ⭐ Paper Stars ranking: #3816

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

🏢IBMArmonk · United States2016–2021 · 16 papers🏢MetaMenlo Park · United States2020–2023 · 10 papers🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2015–2021 · 7 papers🎓New York UniversityNew York · United States2015–2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Concepts, shelves and topics

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 2 works

🧭 Topics 3Research subjects and languages the work is about.Dialogue systems · 2 worksEnglish · 2 worksSpeech & spoken language · 2 works

 Works by year

2010s

20171 paperEnglish Conversational Telephone Speech Recognition by Humans and Machines20161 paperThe IBM 2016 English Conversational Telephone Speech Recognition System

 Papers

The most cited first (OpenAlex and our library).

  1. English Conversational Telephone Speech Recognition by Humans and Machines (2017 · 382 citations)
    The paper tests the claim that machines reached human-level accuracy on conversational telephone speech. It also reports a stronger IBM recognizer. The authors hired the transcription vendor Appen to run their own human benchmark on the Switchboard (SWB) and CallHome (CH) subsets of the NIST Hub5 2000 test set. Three…
  2. 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

8 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 36 times (of the 141,840 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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