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19982023
most citedCharacter-based Neural Machine Translation

204 citations · 714 across the 66 of their papers we have counts for

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Showing 2021Show all

15 papers · 1 filter

eess.AS2021

Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity

Peter Wu, Jiatong Shi, Yifan Zhong +2

Speech processing systems currently do not support the vast majority of languages, in part due to the lack of data in low-resource languages. Cross-lingual transfer offers a compel…

cs.CL2021

ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet

Siddhant Arora, Siddharth Dalmia, Pavel Denisov +10

As Automatic Speech Processing (ASR) systems are getting better, there is an increasing interest of using the ASR output to do downstream Natural Language Processing (NLP) tasks. H…

cs.CL2021

Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching

Parul Chopra, Sai Krishna Rallabandi, Alan W Black +1

Code-switching (CS), a ubiquitous phenomenon due to the ease of communication it offers in multilingual communities still remains an understudied problem in language processing. Th…

cs.CL2021

Towards Language Modelling in the Speech Domain Using Sub-word Linguistic Units

Anurag Katakkar, Alan W Black

Language models (LMs) for text data have been studied extensively for their usefulness in language generation and other downstream tasks. However, language modelling purely in the…

cs.CL2021

Intent Classification Using Pre-trained Language Agnostic Embeddings For Low Resource Languages

Hemant Yadav, Akshat Gupta, Sai Krishna Rallabandi +2

Building Spoken Language Understanding (SLU) systems that do not rely on language specific Automatic Speech Recognition (ASR) is an important yet less explored problem in language…

cs.CL2021

Speech Summarization using Restricted Self-Attention

Roshan Sharma, Shruti Palaskar, Alan W Black +1

Speech summarization is typically performed by using a cascade of speech recognition and text summarization models. End-to-end modeling of speech summarization models is challengin…