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20192026
most citedConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models

27 citations · 69 across the 35 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

cs.CL2023

Multi-teacher Distillation for Multilingual Spelling Correction

Jingfen Zhang, Xuan Guo, Sravan Bodapati +1

Accurate spelling correction is a critical step in modern search interfaces, especially in an era of mobile devices and speech-to-text interfaces. For services that are deployed ar…

cs.CL2023

Retrieve and Copy: Scaling ASR Personalization to Large Catalogs

Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal +2

Personalization of automatic speech recognition (ASR) models is a widely studied topic because of its many practical applications. Most recently, attention-based contextual biasing…

cs.SD2023

Generalized zero-shot audio-to-intent classification

Veera Raghavendra Elluru, Devang Kulshreshtha, Rohit Paturi +2

Spoken language understanding systems using audio-only data are gaining popularity, yet their ability to handle unseen intents remains limited. In this study, we propose a generali…

cs.CL2023

Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages

Devang Kulshreshtha, Saket Dingliwal, Brady Houston +1

Connectionist Temporal Classification (CTC) models are popular for their balance between speed and performance for Automatic Speech Recognition (ASR). However, these CTC models sti…

cs.CL2023

Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters

Anshu Bhatia, Sanchit Sinha, Saket Dingliwal +3

Speech representations learned in a self-supervised fashion from massive unlabeled speech corpora have been adapted successfully toward several downstream tasks. However, such repr…

eess.AS2023

DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer ASR

Goeric Huybrechts, Srikanth Ronanki, Xilai Li +3

Conformer-based end-to-end models have become ubiquitous these days and are commonly used in both streaming and non-streaming automatic speech recognition (ASR). Techniques like du…