Papers by Daniil Grebenkin
Pisets: A Robust Speech Recognition System for Lectures and Interviews (2025.naacl-industry)
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Ivan Bondarenko, Daniil Grebenkin, Oleg Sedukhin, Mikhail Klementev, Derunets Roman, Lyudmila Budneva
| Challenge: | Sustainable speech recognition systems are essential for scientists, journalists, and anyone processing audio recordings of interviews and meetings. |
| Approach: | They propose a speech-to-text system "Pisets" which is based on a three-component architecture aimed at improving speech recognition accuracy while minimizing errors and hallucinations associated with the Whisper model. |
| Outcome: | The proposed system ensures robust transcribing of long audio data across various acoustic conditions compared to WhisperX and the usual Whisper model. |