IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages

no code implementations • 4 Mar 2024 • Tahir Javed, Janki Atul Nawale, Eldho Ittan George, Sakshi Joshi, Kaushal Santosh Bhogale, Deovrat Mehendale, Ishvinder Virender Sethi, Aparna Ananthanarayanan, Hafsah Faquih, Pratiti Palit, Sneha Ravishankar, Saranya Sukumaran, Tripura Panchagnula, Sunjay Murali, Kunal Sharad Gandhi, Ambujavalli R, Manickam K M, C Venkata Vaijayanthi, Krishnan Srinivasa Raghavan Karunganni, Pratyush Kumar, Mitesh M Khapra

We present INDICVOICES, a dataset of natural and spontaneous speech containing a total of 7348 hours of read (9%), extempore (74%) and conversational (17%) audio from 16237 speakers covering 145 Indian districts and 22 languages.

Svarah: Evaluating English ASR Systems on Indian Accents

no code implementations • 25 May 2023 • Tahir Javed, Sakshi Joshi, Vignesh Nagarajan, Sai Sundaresan, Janki Nawale, Abhigyan Raman, Kaushal Bhogale, Pratyush Kumar, Mitesh M. Khapra

India is the second largest English-speaking country in the world with a speaker base of roughly 130 million.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR

1 code implementation • 24 May 2023 • Kaushal Santosh Bhogale, Sai Sundaresan, Abhigyan Raman, Tahir Javed, Mitesh M. Khapra, Pratyush Kumar

In this paper, we focus on Indian languages, and make the case that diverse benchmarks are required to evaluate and improve ASR systems for Indian languages.

Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages

no code implementations • 26 Aug 2022 • Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra

Significantly, we show that adding Shrutilipi to the training set of Wav2Vec models leads to an average decrease in WER of 5. 8\% for 7 languages on the IndicSUPERB benchmark.

Optical Character Recognition (OCR) Self-Supervised Learning +3

IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages

1 code implementation • 24 Aug 2022 • Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra

We hope IndicSUPERB contributes to the progress of developing speech language understanding models for Indian languages.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +6

Towards Building ASR Systems for the Next Billion Users

no code implementations • 6 Nov 2021 • Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra

Second, using this raw speech data we pretrain several variants of wav2vec style models for 40 Indian languages.