Model reference · open weights

indicconformer_stt_hi_hybrid_ctc_rnnt_large

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

indicconformer_stt_hi_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 Hindi audio.
  • It features a conformer encoder with 120 million parameters and 17 blocks, paired with a hybrid CTC-RNNT decoder.
  • The model accepts 16 kHz mono-channel audio input and is released under the MIT license.

Summary of the ai4bharat/indicconformer_stt_hi_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.
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