Model reference · open weights

indicconformer_stt_ta_hybrid_ctc_rnnt_large

Audio ai4bharat Speech→text 1 build Open weights 852 dl/mo

indicconformer_stt_ta_hybrid_ctc_rnnt_large is an open-weight audio or speech model from ai4bharat.

  • IndicConformer is a large-scale automatic speech recognition model developed by ai4bharat for transcribing Tamil audio.
  • The model features a conformer encoder with 120 million parameters and utilizes a hybrid CTC-RNNT decoder to process 16 kHz mono-channel audio inputs.
  • It is distributed under the MIT license and requires the AI4Bharat NeMo framework for loading and inference.

Summary of the ai4bharat/indicconformer_stt_ta_hybrid_ctc_rnnt_large model card, 2026-10-01

What it is

Released byai4bharat
Released2024-09-05

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.
© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms