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Yael Segal-Feldman

2 accepted papers

2026

Beyond Transcription: Mechanistic Interpretability in ASR

AAAI 2026technical

Interpretability methods have recently gained significant attention, particularly in the context of large language models, enabling insights into linguistic representations, error detection, and model behaviors such as hallucinations and repetitions. However, these techniques remain underexplored in

Cited by 0SourcePDFScholar
2025

Whisper in Medusa's Ear: Multi-head Efficient Decoding for Transformer-based ASR

ICASSP 2025accepted

Large transformer-based models have significant potential for speech transcription and translation. Their self-attention mechanisms and parallel processing enable them to capture complex patterns and dependencies in audio sequences. However, this potential comes with challenges, as these large and c…

Cited by 0SourceScholar