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Indicconformer Stt Hi Hybrid Ctc Rnnt Large

Developed by ai4bharat
IndicConformer is a Conformer-based automatic speech recognition (ASR) model with a hybrid CTC-RNNT architecture, supporting Hindi speech transcription.
Downloads 1,694
Release Time : 9/5/2024

Model Overview

This model adopts the Conformer-Large architecture, specifically designed for Hindi automatic speech recognition tasks, capable of converting 16kHz mono audio into text.

Model Features

Hybrid decoding architecture
Supports both CTC and RNNT decoding methods, providing more flexible inference options
Large parameter scale
Conformer-Large architecture with 120 million parameters, delivering powerful speech recognition capabilities
Specialized language support
Speech recognition model specifically optimized for Hindi

Model Capabilities

Hindi speech recognition
Audio to text conversion
Supports CTC decoding
Supports RNNT decoding

Use Cases

Speech transcription
Hindi speech to text
Convert Hindi speech content into editable text format
Highly accurate Hindi transcription results
Voice assistants
Hindi voice interaction
Provides core recognition capabilities for Hindi voice assistants
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