OpenPA: Forced-alignment-free Multi-granular Pronunciation Assessment with Mixed-transcript Adaptation
OpenPA uses Whisper cross-attention to score pronunciation at word and utterance level without forced alignment.
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OpenPA uses Whisper cross-attention to score pronunciation at word and utterance level without forced alignment.
A 5.8M model timestamps 54 non-speech sounds and merges them into Whisper transcripts.
LoRA-adapted Whisper systems for NADI 2026 Arabic ASR reach 57.1%, 46.7%, and 14.49% WER on three subtasks.
Cactus Compute released Whistle, a 16.9 MB on-device speech-to-text model for seven languages without a GPU.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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