---
title: "Mia Taige Li — author profile and papers — Elamur Research"
description: "Mia Taige Li, University of British Columbia: 2 papers on Elamur Research (2021), h-index 1 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/mia-taige-li/"
---
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# Mia Taige Li

Mia Taige Li has 2 papers in our library, in 2021, 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/); often with [Haejin Cho](https://md.research.elamur.ai/free/en/authors/haejin-cho/), [Peter Sullivan](https://md.research.elamur.ai/free/en/authors/peter-sullivan/), [Toshiko Shibano](https://md.research.elamur.ai/free/en/authors/toshiko-shibano/).

2 papers in our library · 2021

[OpenAlex](https://openalex.org/A5068547535) · [**h-index 1**](https://openalex.org/authors/A5068547535) · [1 works](https://openalex.org/works?filter=author.id:A5068547535) · [3 citations](https://openalex.org/works?filter=author.id:A5068547535&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mia-taige-li/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/mia-taige-li/cited-by/) · [⭐ Paper Stars ranking: #10302](https://md.research.elamur.ai/free/en/paper-stars/page/104/#star-10302)

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=Mia+Taige+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mia+Taige+Li) · [dblp](https://dblp.org/search?q=Mia+Taige+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Mia+Taige+Li)

## Affiliations

[🎓**University of British Columbia** Vancouver · Canada 2021 · 1 paper*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.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 2 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/)

## Works by year

### 2020s

[**2021** 2 papers](https://md.research.elamur.ai/free/en/authors/mia-taige-li/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[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…
2. **[Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English](https://md.research.elamur.ai/free/en/papers/shibano-2021-speech-technology-everyone-automatic-speech/)** *(2021 · 2 citations)* English speech recognizers work noticeably worse for non-native (L2) speakers, and there is little annotated accented speech to fix this.

## Co-authors here

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

- [Haejin Cho](https://md.research.elamur.ai/free/en/authors/haejin-cho/) ×2
- [Peter Sullivan](https://md.research.elamur.ai/free/en/authors/peter-sullivan/) ×2
- [Toshiko Shibano](https://md.research.elamur.ai/free/en/authors/toshiko-shibano/) ×2
- [Xinyi Zhang](https://md.research.elamur.ai/free/en/authors/xinyi-zhang/) ×2
- [Muhammad Abdul-Mageed](https://md.research.elamur.ai/free/en/authors/muhammad-abdul-mageed/)

## Venues

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

- [International Conference on Natural Language and Speech Processing](https://md.research.elamur.ai/free/en/venues/icnlsp/): [International Conference on Natural Language and Speech Processing 2021](https://md.research.elamur.ai/free/en/venues/icnlsp/2021/)

## Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/mia-taige-li/cited-by/).

Updated 31 October 2026
