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20232026
most citedRULER: What's the Real Context Size of Your Long-Context Language Models?

13 citations · 18 across the 11 of their papers we have counts for

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eess.AS2023

Investigating End-to-End ASR Architectures for Long Form Audio Transcription

Nithin Rao Koluguri, Samuel Kriman, Georgy Zelenfroind +5

This paper presents an overview and evaluation of some of the end-to-end ASR models on long-form audios. We study three categories of Automatic Speech Recognition(ASR) models based…

eess.AS2023★ 3 cited

Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition

Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman +8

Conformer-based models have become the dominant end-to-end architecture for speech processing tasks. With the objective of enhancing the conformer architecture for efficient traini…