MT, ASR & TTS models for Bhili (भीली), specifically the Dehvali Bhili dialect, an Indo-Aryan language spoken by the Bhil community in western India.
AI4Bharat
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Papers
Preferences of a Voice-First Nation: Large-Scale Pairwise Evaluation and Preference Analysis for TTS in Indian Languages
Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models
This dataset includes ASR data from rural women speaking Hindi and Bhojpuri, supporting inclusive voice recognition.
Romansetu is a collection of models address the challenge of extending Large Language Models (LLMs) to non-English languages using non-Latin scripts
A Speech Translation Dataset for 13 Indian Languages
Hercule series of Evaluation models
Largest Collections of Pretraining and Instruction Finetuning datasets for 22 Indic languages.
Models(En-Indic, Indic-En, Indic-Indic) in 2 variants (base and dist) and Benchmarks (IN22-Gen and IN22-Conv) released as a part of IndicTrans2.
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ai4bharat/indictrans2-en-indic-1B
Translation • 1B • Updated • 10.4k • 62 -
ai4bharat/indictrans2-en-indic-dist-200M
Translation • 0.3B • Updated • 29.3k • 38 -
ai4bharat/indictrans2-indic-en-1B
Translation • 1B • Updated • 9.07k • 45 -
ai4bharat/indictrans2-indic-en-dist-200M
Translation • 0.2B • Updated • 10.6k • 21
IndicBERT v2 is a multilingual BERT model pretrained on IndicCorp v2, an Indic monolingual corpus of 20.9 billion tokens, covering 24 consitutionally
A collection of state-of-the-art multilingual base encoder language models (270M, 1B, 4B) for Indic languages.
A comprehensive dataset collection for Indic language information retrieval.
Collection of Parler-TTS models adapted to Indian languages.
ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams.
A collection of ASR models for 22 scheduled languages of India
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ai4bharat/indic-conformer-600m-multilingual
Automatic Speech Recognition • Updated • 65.5k • 126 -
ai4bharat/indicconformer_stt_as_hybrid_ctc_rnnt_large
Automatic Speech Recognition • Updated • 98 • 4 -
ai4bharat/indicconformer_stt_bn_hybrid_ctc_rnnt_large
Automatic Speech Recognition • Updated • 781 • 2 -
ai4bharat/indicconformer_stt_brx_hybrid_ctc_rnnt_large
Automatic Speech Recognition • Updated • 6
A collection of benchmarks used for evaluation of Airavata, an Hindi instruction-tuned model on top of Sarvam's OpenHathi base model.
IndicXTREME is a human-supervised benchmark of 9 diverse NLU tasks across 20 languages, featuring 105 evaluation sets in total.
IndicNLG Benchmark is a dataset collection designed for benchmarking Natural Language Generation (NLG) across 11 Indic languages.
MT, ASR & TTS models for Bhili (भीली), specifically the Dehvali Bhili dialect, an Indo-Aryan language spoken by the Bhil community in western India.
A collection of state-of-the-art multilingual base encoder language models (270M, 1B, 4B) for Indic languages.
This dataset includes ASR data from rural women speaking Hindi and Bhojpuri, supporting inclusive voice recognition.
A comprehensive dataset collection for Indic language information retrieval.
Romansetu is a collection of models address the challenge of extending Large Language Models (LLMs) to non-English languages using non-Latin scripts
Collection of Parler-TTS models adapted to Indian languages.
A Speech Translation Dataset for 13 Indian Languages
ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams.
Hercule series of Evaluation models
A collection of ASR models for 22 scheduled languages of India
-
ai4bharat/indic-conformer-600m-multilingual
Automatic Speech Recognition • Updated • 65.5k • 126 -
ai4bharat/indicconformer_stt_as_hybrid_ctc_rnnt_large
Automatic Speech Recognition • Updated • 98 • 4 -
ai4bharat/indicconformer_stt_bn_hybrid_ctc_rnnt_large
Automatic Speech Recognition • Updated • 781 • 2 -
ai4bharat/indicconformer_stt_brx_hybrid_ctc_rnnt_large
Automatic Speech Recognition • Updated • 6
Largest Collections of Pretraining and Instruction Finetuning datasets for 22 Indic languages.
A collection of benchmarks used for evaluation of Airavata, an Hindi instruction-tuned model on top of Sarvam's OpenHathi base model.
Models(En-Indic, Indic-En, Indic-Indic) in 2 variants (base and dist) and Benchmarks (IN22-Gen and IN22-Conv) released as a part of IndicTrans2.
-
ai4bharat/indictrans2-en-indic-1B
Translation • 1B • Updated • 10.4k • 62 -
ai4bharat/indictrans2-en-indic-dist-200M
Translation • 0.3B • Updated • 29.3k • 38 -
ai4bharat/indictrans2-indic-en-1B
Translation • 1B • Updated • 9.07k • 45 -
ai4bharat/indictrans2-indic-en-dist-200M
Translation • 0.2B • Updated • 10.6k • 21
IndicXTREME is a human-supervised benchmark of 9 diverse NLU tasks across 20 languages, featuring 105 evaluation sets in total.
IndicBERT v2 is a multilingual BERT model pretrained on IndicCorp v2, an Indic monolingual corpus of 20.9 billion tokens, covering 24 consitutionally
IndicNLG Benchmark is a dataset collection designed for benchmarking Natural Language Generation (NLG) across 11 Indic languages.