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Junichi Yamagishi

Junichi Yamagishi has 4 papers in our library, in 2025–2026, most of them on Reasoning; often with Iffat Maab, Ariana Sahitaj, Chao Zhang.

4 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 68 · 697 works · 23,166 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 43 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #9499

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. QualiSpeech: A Speech Quality Assessment Dataset with Natural Language Reasoning and Descriptions (2025 · 12 citations)
    Automatic speech quality assessment usually outputs a single number, typically a predicted MOS, which gives no explanation of why a sample sounds good or bad.
  2. From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking Evidence (2026 · 1 citation)
    Professional fact-checks contain detailed evidence and reasoning, but this material is buried in free-form prose, so automated verification systems rarely reuse it.
  3. Prompt-driven Detection of Offensive Urdu Language using Large Language Models (2026 · 1 citation)
    Detecting offensive content in Urdu is difficult. The language is under-resourced, and users write it both in native Urdu script and in informal, unstandardized Roman Urdu, often mixed with English. This study asks whether pre-trained LLMs, used only through prompting and without fine-tuning, can stand in for…
  4. Pushing the Frontiers of Scientific Fact-Checking: The SCINLP Dataset (2026)
    Checking scientific claims is difficult because it requires domain expertise, and existing benchmarks focus mostly on biomedical and health topics.

All works

7 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection ↗Interspeech (USB) · no summary yetMassimiliano Todisco et al.2019 · 699 citations
  2. MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion ↗Interspeech (USB) · no summary yetChen-Chou Lo et al.2019 · 273 citations
  3. A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection ↗Interspeech (USB) · no summary yetXin Wang, Junichi Yamagishi2021 · 131 citations

 Co-authors here

12 of 14 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 43 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

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