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AI4Bharat-IndicConformer-STT-SD-Hybrid-CTC-RNNT-Large (Sindhi): Automatic Speech Recognition Model
A large-scale Automatic Speech Recognition (ASR) model for Sindhi, utilizing a hybrid CTC-RNNT decoder.
About Model
The ai4bharat/indicconformer_stt_sd_hybrid_ctc_rnnt_large model is designed for automatic speech recognition (ASR) in Sindhi. 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 transcribed speech in Sindhi. Its hybrid CTC-RNNT decoder enhances recognition performance for spoken Sindhi.
AI4Bharat-IndicConformer-STT-SD-Hybrid-CTC-RNNT-Large (Sindhi): Automatic Speech Recognition Model
Metadata
MIT
AI4Bharat
Audio-to-text
N.A.
Open
Sector Agnostic
21/02/25 13:21:30
0
Activity Overview
1
12 
190 
0
Tags
- Automatic Speech Recognition
- Telugu
- Conformer
- Hybrid-CTC-RNNT
- ASR
- Speech-to-Text
- Deep Learning
- Neural Networks
- Speech Recognition
- Indic Languages
License Control
MIT
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