Browse State-of-the-Art › Automatic Phoneme Recognition
Automatic Phoneme Recognition
1 paper with code · 6 benchmarks · 6 datasets archive 2025-07-28
Automatic Phoneme Recognition (APR) involves converting spoken language into a sequence of phonemes, which are the distinct units of sound that distinguish one word from another in a given language. It is designed to transcribe spoken words into their textual phonetic representations in real-time, enabling detailed analysis of speech patterns, pronunciation, and linguistic nuances. The goal of Automatic Phoneme Recognition is to accurately identify and transcribe phonemes, considering variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality. This technology is crucial for linguistic research, speech therapy, language learning applications, and enhancing the performance of speech recognition systems.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
6 leaderboard tables shown for this task, 6 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| VibraVox (headset microphone) (1 row) | medium wav2vec2.0 | Vibravox: A Dataset of French Speech Captured with Body-conduction... | code | — | Compare |
| VibraVox (forehead accelerometer) (1 row) | medium wav2vec2.0 | Vibravox: A Dataset of French Speech Captured with Body-conduction... | code | — | Compare |
| VibraVox (soft in-ear microphone) (1 row) | medium wav2vec2.0 | Vibravox: A Dataset of French Speech Captured with Body-conduction... | code | — | Compare |
| VibraVox (rigid in-ear microphone) (1 row) | medium wav2vec2.0 | Vibravox: A Dataset of French Speech Captured with Body-conduction... | code | — | Compare |
| VibraVox (throat microphone) (1 row) | medium wav2vec2.0 | Vibravox: A Dataset of French Speech Captured with Body-conduction... | code | — | Compare |
| VibraVox (temple vibration pickup) (1 row) | medium wav2vec2.0 | Vibravox: A Dataset of French Speech Captured with Body-conduction... | code | — | Compare |
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
6 datasets 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
1 shown of 1 paper with code (5 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.
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16 Jul 2024 1 repository listedVibravox is a dataset compliant with the General Data Protection Regulation (GDPR) containing audio recordings using five different body-conduction audio sensors: two in-ear microphones, two bone conduction vibration…
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