IndicConformer is a Hybrid CTC-RNNT conformer ASR(Automatic Speech Recognition) model.
Language
Malayalam
Input
This model accepts 16000 KHz Mono-channel Audio (wav files) as input.
Output
This model provides transcribed speech as a string for a given audio sample.
Model Architecture
This model is a conformer-Large model, consisting of 120M parameters, as the encoder, with a hybrid CTC-RNNT decoder. The model has 17 conformer blocks with
512 as the model dimension.
AI4Bharat NeMo:
To load, train, fine-tune or play with the model you will need to install AI4Bharat NeMo. We recommend you install it using the command shown below
import torch
import nemo.collections.asr as nemo_asr
model = nemo_asr.models.ASRModel.from_pretrained("ai4bharat/indicconformer_stt_ml_hybrid_rnnt_large")
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model.freeze() # inference mode
model = model.to(device) # transfer model to device
Get an audio file ready by running the command shown below in your terminal. This will convert the audio to 16000 Hz and monochannel.
