52 citations · 116 across the 14 of their papers we have counts for
15 papers
Towards Billion-scale Multi-modal Biometric Search
Arka Koner, Chetan S. Naik, Lokesh Kurre +5
Searching a multi-biometric database of a billion records for a country-level identity system requires pushing the limits of all aspects of a biometric system, including acquisitio…
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
Jay Gala, Pranjal A. Chitale, Raghavan AK +11
India has a rich linguistic landscape with languages from 4 major language families spoken by over a billion people. 22 of these languages are listed in the Constitution of India (…
SemEval 2023 Task 6: LegalEval - Understanding Legal Texts
Ashutosh Modi, Prathamesh Kalamkar, Saurabh Karn +6
In populous countries, pending legal cases have been growing exponentially. There is a need for developing NLP-based techniques for processing and automatically understanding legal…
Named Entity Recognition in Indian court judgments
Prathamesh Kalamkar, Astha Agarwal, Aman Tiwari +3
Identification of named entities from legal texts is an essential building block for developing other legal Artificial Intelligence applications. Named Entities in legal texts are…
Speaker Recognition in the Wild
Neeraj Chhimwal, Anirudh Gupta, Rishabh Gaur +4
In this paper, we propose a pipeline to find the number of speakers, as well as audios belonging to each of these now identified speakers in a source of audio data where number of…
indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languages
Anirudh Gupta, Neeraj Chhimwal, Ankur Dhuriya +4
Automatic Speech Recognition (ASR) generates text which is most of the times devoid of any punctuation. Absence of punctuation is text can affect readability. Also, down stream NLP…
Effectiveness of text to speech pseudo labels for forced alignment and cross lingual pretrained models for low resource speech recognition
Anirudh Gupta, Rishabh Gaur, Ankur Dhuriya +4
In the recent years end to end (E2E) automatic speech recognition (ASR) systems have achieved promising results given sufficient resources. Even for languages where not a lot of la…
Is Word Error Rate a good evaluation metric for Speech Recognition in Indic Languages?
Priyanshi Shah, Harveen Singh Chadha, Anirudh Gupta +4
We propose a new method for the calculation of error rates in Automatic Speech Recognition (ASR). This new metric is for languages that contain half characters and where the same c…
Improving Speech Recognition for Indic Languages using Language Model
Ankur Dhuriya, Harveen Singh Chadha, Anirudh Gupta +4
We study the effect of applying a language model (LM) on the output of Automatic Speech Recognition (ASR) systems for Indic languages. We fine-tune wav2vec models for In…
Code Switched and Code Mixed Speech Recognition for Indic languages
Harveen Singh Chadha, Priyanshi Shah, Ankur Dhuriya +3
Training multilingual automatic speech recognition (ASR) systems is challenging because acoustic and lexical information is typically language specific. Training multilingual syste…
Vakyansh: ASR Toolkit for Low Resource Indic languages
Harveen Singh Chadha, Anirudh Gupta, Priyanshi Shah +4
We present Vakyansh, an end to end toolkit for Speech Recognition in Indic languages. India is home to almost 121 languages and around 125 crore speakers. Yet most of the languages…
Corpus for Automatic Structuring of Legal Documents
Prathamesh Kalamkar, Aman Tiwari, Astha Agarwal +4
In populous countries, pending legal cases have been growing exponentially. There is a need for developing techniques for processing and organizing legal documents. In this paper,…
Indian Legal NLP Benchmarks : A Survey
Prathamesh Kalamkar, Janani Venugopalan Ph. D., Vivek Raghavan Ph. D
Availability of challenging benchmarks is the key to advancement of AI in a specific field.Since Legal Text is significantly different than normal English text, there is a need to…
CLSRIL-23: Cross Lingual Speech Representations for Indic Languages
Anirudh Gupta, Harveen Singh Chadha, Priyanshi Shah +4
We present a CLSRIL-23, a self supervised learning based audio pre-trained model which learns cross lingual speech representations from raw audio across 23 Indic languages. It is b…
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages
Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj +15
We present Samanantar, the largest publicly available parallel corpora collection for Indic languages. The collection contains a total of 49.7 million sentence pairs between Englis…