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Wav2vec2 Xls R 300m Bangla Command
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Wav2vec2 Xls R 300m Bangla Command
Developed by sshasnain
This is a 300M-parameter Bengali speech recognition model based on the wav2vec2 XLS-R architecture, specifically optimized for command recognition tasks.
Downloads 28
Release Time : 3/2/2022
Model Overview
This model is an automatic speech recognition (ASR) system specifically designed to understand and transcribe Bengali verbal commands. It is based on Facebook's wav2vec2 XLS-R architecture with a 300M parameter scale.
Model Features
High-precision Bengali recognition
Achieves an outstanding word error rate (WER) of 0.006 on test datasets
Command optimization
Specially trained and optimized for daily command scenarios
Based on wav2vec2 XLS-R
Utilizes the advanced wav2vec2 XLS-R 300M parameter architecture
Model Capabilities
Bengali speech recognition
Command understanding
Speech-to-text
Use Cases
Smart home control
Device control
Control smart home devices via voice commands
Accurately recognizes and executes home control commands
Retail scenarios
Price inquiry
Recognize customer inquiries about product prices
Accurately transcribes price inquiry content
Daily assistant
Item location
Help users locate items in their homes
Accurately understands inquiries about item locations
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