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Indic-Conformer model for ASR
Indo-Aryan Indic-Conformer is a multilingual speech model for North-Indian languages. This model is based on Conformer large architecture, with 115M parameters.
About Model
Bhashini - The Indo-Aryan Indic-Conformer is a multilingual automatic speech recognition (ASR) model designed specifically for North-Indian languages. It is based on the Conformer large architecture, which is known for its efficiency and accuracy in processing speech signals. The model contains 115 million parameters, enabling it to effectively transcribe spoken language into text with high precision.
This ASR model has been trained on the Shrutlip dataset, a rich dataset designed to enhance automatic speech recognition capabilities in Indian languages. The model primarily supports the Odia language and has been developed by AI4Bharat, a leading research initiative focused on advancing AI-driven solutions for Indian languages.
With a batch processing setup, this model is optimized for large-scale speech-to-text tasks across general domains. It is a valuable resource for applications in speech transcription, voice-enabled interfaces, digital accessibility, and natural language processing (NLP) research. Given the increasing demand for multilingual ASR systems, this model serves as a foundational tool for improving speech technology in India’s diverse linguistic landscape.
The Indo-Aryan Indic-Conformer is open-source, and its implementation is available on GitHub, making it accessible for researchers, developers, and AI practitioners working in the domain of Indian language speech processing.
For more details about the use of model, refer to github: https://github.com/AI4Bharat/IndicTrans2/tree/main
Indic-Conformer model for ASR
Metadata
MIT
AI4Bharat
Speech Recognition Model
Other
Open
Sector Agnostic
05/03/25 15:23:44
64.91 KB
indic-asr-api-backend-master ( 7 files, 1 directories )
serving
2 files, 7 directories
.gitignore
1.76 KB
api.py
4.95 KB
conformer.json
211 Bytes
example_ai4b_asr_rest_api.py
1.67 KB
LICENSE
1.04 KB
README.md
1.26 KB
requirements.txt
66 Bytes
Activity Overview
2
105 
64.91 KB 
3,598
Tags
- Automatic Speech Recognition
- Speech Technology
- Speech Processing
- Speech Lab
- Bhashini
License Control
MIT
Version Control
Version 1(64.91 KB)
- admin·1 year(s) ago
- chevron_right
indic-asr-api-backend-master
- chevron_right
serving
.gitignore
api.py
conformer.json
example_ai4b_asr_rest_api.py
LICENSE
README.md
requirements.txt
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