Yassir Fathullah | DeepAI

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∙ 09/19/2023

End-to-End Speech Recognition Contextualization with Large Language Models

In recent years, Large Language Models (LLMs) have garnered significant ...

0 Egor Lakomkin, et al. ∙

∙ 09/05/2023

TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models

Automatic Speech Recognition (ASR) models need to be optimized for speci...

0 Yuan Shangguan, et al. ∙

∙ 07/21/2023

Prompting Large Language Models with Speech Recognition Abilities

Large language models have proven themselves highly flexible, able to so...

0 Yassir Fathullah, et al. ∙

∙ 06/08/2023

CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models

In this paper, we consider the challenge of summarizing patients' medica...

0 Potsawee Manakul, et al. ∙

∙ 05/21/2023

Multi-Head State Space Model for Speech Recognition

State space models (SSMs) have recently shown promising results on small...

0 Yassir Fathullah, et al. ∙

∙ 05/17/2023

Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties

Efficiently and reliably estimating uncertainty is an important objectiv...

0 Yassir Fathullah, et al. ∙

∙ 05/09/2023

Who Needs Decoders? Efficient Estimation of Sequence-level Attributes

State-of-the-art sequence-to-sequence models often require autoregressiv...

0 Yassir Fathullah, et al. ∙

∙ 03/15/2022

Self-Distribution Distillation: Efficient Uncertainty Estimation

Deep learning is increasingly being applied in safety-critical domains. ...

0 Yassir Fathullah, et al. ∙

∙ 11/10/2019

Improved Large-margin Softmax Loss for Speaker Diarisation

Speaker diarisation systems nowadays use embeddings generated from speec...

0 Yassir Fathullah, et al. ∙

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