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AI4Bharat-IndicConformer-STT-ML-Hybrid-CTC-RNNT-Large (Malayalam): Automatic Speech Recognition Model
A large-scale Automatic Speech Recognition (ASR) model for Malayalam, utilizing a hybrid CTC-RNNT decoder
About Model
The ai4bharat/indicconformer_stt_ml_hybrid_ctc_rnnt_large model is an Automatic Speech Recognition (ASR) system designed for the Malayalam language. It employs a Conformer-Large architecture with 120 million parameters, featuring 17 conformer blocks and a model dimension of 512. This model processes 16 kHz mono-channel audio (wav files) and outputs transcriptions in Malayalam. Its hybrid CTC-RNNT decoder enhances recognition performance for spoken Malayalam.
AI4Bharat-IndicConformer-STT-ML-Hybrid-CTC-RNNT-Large (Malayalam): Automatic Speech Recognition Model
Metadata
MIT
AI4Bharat
Audio-to-text
N.A.
Open
Sector Agnostic
21/02/25 13:21:37
0
Activity Overview
0
35 
0 
636
Tags
- Automatic Speech Recognition
- Malayalam
- ASR
- Indic Languages
- Deep Learning
- Speech-to-Text
- Conformer
- Neural Networks
- Speech Recognition
- Hybrid-CTC-RNNT
License Control
MIT
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