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20172025
most citedSpeech recognition for medical conversations

11 citations · 21 across the 7 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2024

LLaMA based Punctuation Restoration With Forward Pass Only Decoding

Yutong Pang, Debjyoti Paul, Kevin Jiang +2

This paper introduces two advancements in the field of Large Language Model Annotation with a focus on punctuation restoration tasks. Our first contribution is the application of L…

cs.CL2024★ 1 cited

Towards scalable efficient on-device ASR with transfer learning

Laxmi Pandey, Ke Li, Jinxi Guo +4

Multilingual pretraining for transfer learning significantly boosts the robustness of low-resource monolingual ASR models. This study systematically investigates three main aspects…

cs.CL2023

Language Agnostic Data-Driven Inverse Text Normalization

Szu-Jui Chen, Debjyoti Paul, Yutong Pang +2

With the emergence of automatic speech recognition (ASR) models, converting the spoken form text (from ASR) to the written form is in urgent need. This inverse text normalization (…

cs.CL2022★ 1 cited

Improving Data Driven Inverse Text Normalization using Data Augmentation

Laxmi Pandey, Debjyoti Paul, Pooja Chitkara +6

Inverse text normalization (ITN) is used to convert the spoken form output of an automatic speech recognition (ASR) system to a written form. Traditional handcrafted ITN rules can…

cs.CL2017★ 11 cited

Speech recognition for medical conversations

Chung-Cheng Chiu, Anshuman Tripathi, Katherine Chou +11

In this work we explored building automatic speech recognition models for transcribing doctor patient conversation. We collected a large scale dataset of clinical conversations ($1…