Phone-level pronunciation scoring

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (10 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment
  3 Apr 2021 2 repositories listed
  This paper introduces a new open-source speech corpus named "speechocean762" designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native speakers, where half of the speakers are…
• Fine-Tuning Self-Supervised Learning Models for End-to-End Pronunciation Scoring
  19 Sep 2023 1 repository listed
  In the first step, the pre-trained SSL model is fine-tuned on a phoneme recognition task to obtain better representations for the pronounced phonemes.
• Hierarchical Pronunciation Assessment with Multi-Aspect Attention
  15 Nov 2022 1 repository listed
  In this paper, we propose a Hierarchical Pronunciation Assessment with Multi-aspect Attention (HiPAMA) model, which hierarchically represents the granularity levels to directly capture their linguistic structures and…
• Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment
  6 May 2022 1 repository listed
  Automatic pronunciation assessment is an important technology to help self-directed language learners.
• A transfer learning based approach for pronunciation scoring
  1 Nov 2021 1 repository listed
  Phone-level pronunciation scoring is a challenging task, with performance far from that of human annotators.