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Samuel Thomas

Samuel Thomas has 3 papers in our library, in 2017–2019, most of them on Speech & spoken language, English, Dialogue systems; often with Bhuvana Ramabhadran, Gakuto Kurata, George Saon.

3 papers in our library · 2017–2019

OpenAlex · ORCID · h-index 30 · 129 works · 3,750 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 41 times in our library · ⭐ Paper Stars ranking: #3487

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 States2014–2026 · 60 paperscurrent🎓Johns Hopkins UniversityBaltimore · United States2009–2013 · 28 papers🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2014–2023 · 9 papers🔬Idiap Research InstituteMartigny-Combe · Switzerland2008–2009 · 7 papers🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland2008–2009 · 4 papers🎓Massachusetts Institute of TechnologyCambridge · United States2025 · 2 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 3 worksPsychology · 1 workExperimental and Cognitive Psychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Speech & spoken language · 3 worksEnglish · 2 worksDialogue systems · 1 work

 Works by year

2010s

20191 paperEnglish Broadcast News Speech Recognition by Humans and Machines20181 paperJoint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition20171 paperEnglish Conversational Telephone Speech Recognition by Humans and Machines

 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. Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition (2018 · 73 citations)
    Speech recognizers lose accuracy when test speakers have an accent that differs from the training data. Earlier multi-accent acoustic models relied on accent information only indirectly, for example through separate phone sets per accent. Yang et al. instead train an accent identification (AID) network together with…
  3. English Broadcast News Speech Recognition by Humans and Machines (2019 · 12 citations)
    The paper asks whether deep-learning recipes that brought conversational telephone speech (CTS) recognition near human level also work for English broadcast news (BN).

 Co-authors here

10 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 41 times (of the 141,840 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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