Search Results for author: Hemant Yadav

Found 7 papers, 4 papers with code

A Survey of Multilingual Models for Automatic Speech Recognition

no code implementations LREC 2022 Hemant Yadav, Sunayana Sitaram

Although Automatic Speech Recognition (ASR) systems have achieved human-like performance for a few languages, the majority of the world's languages do not have usable systems due to the lack of large speech datasets to train these models.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

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

no code implementations18 Oct 2021 Hemant Yadav, Akshat Gupta, Sai Krishna Rallabandi, Alan W Black, Rajiv Ratn Shah

We perform experiments across three different languages: English, Sinhala, and Tamil each with different data sizes to simulate high, medium, and low resource scenarios.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Cisco at AAAI-CAD21 shared task: Predicting Emphasis in Presentation Slides using Contextualized Embeddings

1 code implementation10 Jan 2021 Sreyan Ghosh, Sonal Kumar, Harsh Jalan, Hemant Yadav, Rajiv Ratn Shah

This paper describes our proposed system for the AAAI-CAD21 shared task: Predicting Emphasis in Presentation Slides.

End-to-end Named Entity Recognition from English Speech

1 code implementation22 May 2020 Hemant Yadav, Sreyan Ghosh, Yi Yu, Rajiv Ratn Shah

Named entity recognition (NER) from text has been a widely studied problem and usually extracts semantic information from text.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

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