---
title: "Toshiko Shibano — author profile and papers in our library"
description: "Toshiko Shibano, University of British Columbia: 2 papers on Elamur Research (2021–2022), h-index 2 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/toshiko-shibano/"
---
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# Toshiko Shibano

Toshiko Shibano has 2 papers in our library, in 2021–2022, most of them on [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [English](https://md.research.elamur.ai/free/en/topics/english/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Peter Sullivan](https://md.research.elamur.ai/free/en/authors/peter-sullivan/), [Muhammad Abdul-Mageed](https://md.research.elamur.ai/free/en/authors/muhammad-abdul-mageed/).

2 papers in our library · 2021–2022

[OpenAlex](https://openalex.org/A5075579247) · [**h-index 2**](https://openalex.org/authors/A5075579247) · [2 works](https://openalex.org/works?filter=author.id:A5075579247) · [16 citations](https://openalex.org/works?filter=author.id:A5075579247&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/toshiko-shibano/#papers) · [🔗 Cited 5 times in our library](https://md.research.elamur.ai/free/en/authors/toshiko-shibano/cited-by/) · [⭐ Paper Stars ranking: #5704](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5704)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Toshiko+Shibano) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Toshiko+Shibano) · [dblp](https://dblp.org/search?q=Toshiko+Shibano) · [ACL Anthology](https://aclanthology.org/search/?q=Toshiko+Shibano)

## Affiliations

[🎓**University of British Columbia** Vancouver · Canada 2021–2022 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-british-columbia/)

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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Experimental and Cognitive Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 3 Research subjects and languages the work is about.[English · 2 works](https://md.research.elamur.ai/free/en/topics/english/) · [Speech & spoken language · 2 works](https://md.research.elamur.ai/free/en/topics/speech/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2022** 1 paper Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding](https://md.research.elamur.ai/free/en/papers/sullivan-2022-improving-automatic-speech-recognition-non/) · [**2021** 1 paper Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning](https://md.research.elamur.ai/free/en/papers/shibano-2021-speech-technology-everyone-automatic-speech-recognition/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding](https://md.research.elamur.ai/free/en/papers/sullivan-2022-improving-automatic-speech-recognition-non/)** *(2022 · 16 citations)* ASR systems tuned for native (L1) English perform noticeably worse on non-native (L2) speakers. Accents shift pronunciation, and little annotated accented audio exists for training. The authors start from the self-trained wav2vec 2.0 Large model (Wav2Vec 2.0-ST) and fine-tune it with CTC under many data conditions…
2. **[Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning](https://md.research.elamur.ai/free/en/papers/shibano-2021-speech-technology-everyone-automatic-speech-recognition/)** *(2021 · 5 citations)* English speech recognisers do noticeably worse on non-native (L2) speakers. The main causes are first-language pronunciation habits and the small amount of transcribed accented speech. The authors test whether a strong pretrained model can close this gap through modest fine-tuning alone, with no external language…

## Co-authors here

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

- [Peter Sullivan](https://md.research.elamur.ai/free/en/authors/peter-sullivan/) ×2
- [Muhammad Abdul-Mageed](https://md.research.elamur.ai/free/en/authors/muhammad-abdul-mageed/)

## Cited by

Papers of our library cite their works 5 times (of the 141,840 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/toshiko-shibano/cited-by/).

Updated 24 October 2026
