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Papers
ORCA: Open-ended Response Correctness Assessment for Audio Question Answering
FLiP: Towards understanding and interpreting multimodal multilingual sentence embeddings
DiCoW (Diarization-Conditioned Whisper) is a collection of speaker-aware ASR models developed by BUT-FIT, extending OpenAI’s Whisper.
Resources for Open-ended Response Correctness Assessment for Audio Question Answering
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ORCA: Open-ended Response Correctness Assessment for Audio Question Answering
Paper • 2512.09066 • Published -
BUT-FIT/orca-audio-qa-annotations
Viewer • Updated • 453k • 119 -
BUT-FIT/orca-olmo-2-1b-multinomial
Text Classification • Updated -
BUT-FIT/orca-llama-3.2-3b-it-multinomial
Text Classification • Updated
DiariZen is a speaker diarization toolkit driven by AudioZen and Pyannote 3.1.
This collection showcases DeCRED (Decoder-Centric Regularisation in Encoder-Decoder) for ASR.
Resources for Open-ended Response Correctness Assessment for Audio Question Answering
-
ORCA: Open-ended Response Correctness Assessment for Audio Question Answering
Paper • 2512.09066 • Published -
BUT-FIT/orca-audio-qa-annotations
Viewer • Updated • 453k • 119 -
BUT-FIT/orca-olmo-2-1b-multinomial
Text Classification • Updated -
BUT-FIT/orca-llama-3.2-3b-it-multinomial
Text Classification • Updated
DiCoW (Diarization-Conditioned Whisper) is a collection of speaker-aware ASR models developed by BUT-FIT, extending OpenAI’s Whisper.
DiariZen is a speaker diarization toolkit driven by AudioZen and Pyannote 3.1.
This collection showcases DeCRED (Decoder-Centric Regularisation in Encoder-Decoder) for ASR.