1 code implementation • 8 Oct 2023 • Hemant Yadav, Erica Cooper, Junichi Yamagishi, Sunayana Sitaram, Rajiv Ratn Shah
That is the partial rank similarity is measured (PRS) rather than the individual MOS values as with the L1 loss.
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
no code implementations • 18 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
1 code implementation • 10 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.
1 code implementation • 25 Nov 2020 • Hemant Yadav, Atul Anshuman Singh, Rachit Mittal, Sunayana Sitaram, Yi Yu, Rajiv Ratn Shah
Training a robust system, e. g., Speech to Text (STT), requires large datasets.
no code implementations • SEMEVAL 2020 • Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah
This paper presents our submission to the SemEval 2020 - Task 10 on emphasis selection in written text.
1 code implementation • 22 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