Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

Interspeech: Interspeech (combined EuroSpeech and ICSLP in 2000) — papers and institutions, 2024–2026

Papers of Interspeech, Interspeech (combined EuroSpeech and ICSLP in 2000) (CORE rank A; field: Artificial intelligence), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

  • Interspeech (Interspeech (combined EuroSpeech and ICSLP in 2000)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 2,177 of its papers from 2024–2026 (1,026 in 2024, 1,151 in 2025; 2026 not in OpenAlex yet).
  • By the countries of the authors' institutions, the most papers come from France (56), the United States (27) and China (19).
  • The institutions with the most papers are Centre National de la Recherche Scientifique (10), Aix-Marseille Université (8) and Le Mans Université (6).
  • Its most-cited paper of these years is “XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model” (2024), with 129 citations.
  • OpenAlex has affiliations for only 7% of its papers, so the institution and country counts are incomplete.

Papers per year#

Interspeech papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20241,026114
20251,15131
2026––

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4393918409The conference's proceedings

Who publishes there#

Institutions with the most Interspeech papers, 2024–2026
#InstitutionPapers
1Centre National de la Recherche Scientifique10
2Aix-Marseille Université8
3Le Mans Université6
4Laboratoire Parole et Langage6
5Laboratoire Interdisciplinaire des Sciences du Numérique6
6Laboratoire d’Informatique de l’Université du Mans6
7Institut de Recherche en Informatique de Toulouse5
8Laboratoire Informatique d'Avignon5
9GIPSA-Lab5
10National University of Singapore4
Countries with the most Interspeech papers, 2024–2026
#CountryPapers
1France56
2United States27
3China19
4Germany9
5South Korea9
6Denmark7
7United Kingdom6
8Japan6
9Australia5
10Switzerland5
Keywords with the most Interspeech papers, 2024–2026
#KeywordPapers
1speech recognition334
2speech synthesis173
3speech enhancement135
4large language models115
5text-to-speech103
6speech emotion recognition88
7low-resource languages84
8self-supervised learning66
9speaker verification65
10prosody64

Most-cited papers#

Most-cited Interspeech papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
1129XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model2024-09-01Edresson Casanova, Kelly Davis, Eren Gölge et al.
252EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation2024-09-01Julius Richter, Yi-Chiao Wu, Steven Krenn et al.
341OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer2024-09-01Yifan Peng, Jinchuan Tian, William Chen et al.
441Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection2024-09-01Duc-Tuan Truong, Ruijie Tao, Tuan Lam Nguyen et al.
535EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark2024-09-01Ziyang Ma, Mingjie Chen, Hezhao Zhang et al.
635LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR2024-09-01Zheshu Song, Jianheng Zhuo, Yifan Yang et al.
734Less is More: Accurate Speech Recognition & Translation without Web-Scale Data2024-09-01Krishna C. Puvvada, Piotr Żelasko, He Huang et al.
832RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection2024-09-01Yujie Chen, Jiangyan Yi, Jun Xue et al.
932Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing Detection2024-09-01Zihan Pan, Tianchi Liu, Hardik B. Sailor et al.
1031URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement2024-09-01Wangyou Zhang, Robin Scheibler, Kohei Saijo et al.

Conferences in the same field#

AAAI · EMNLP · ACL · ICRA · IJCAI · HRI · EC · KR · ICAPS · IROS · NAACL · AAMAS · CIKM · ECAI · EACL · GECCO · IJCAR · CP · SAT · CADE · FOGA

Cite this page

Scholar4AI. (2026). Interspeech: Interspeech (combined EuroSpeech and ICSLP in 2000) — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/interspeech

@misc{scholar4ai-proceedings-interspeech,
  author = {{Scholar4AI}},
  title = {Interspeech: Interspeech (combined EuroSpeech and ICSLP in 2000) — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/interspeech}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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