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Wav2vec2 XLS R 300m Konkani
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Wav2vec2 XLS R 300m Konkani

Developed by StephennFernandes
An automatic speech recognition model fine-tuned on private datasets based on facebook/wav2vec2-xls-r-300m, featuring robust speech event processing capabilities.
Speech Recognition
Transformers
#High Robustness Speech Recognition#Multi-scenario Speech Event Detection#XLS-R Architecture Optimization
Downloads 74
Release Time : 3/2/2022

Model Overview

This model is an automatic speech recognition (ASR) system that, after fine-tuning, can accurately recognize speech content and maintain robustness in noisy environments.

Model Features

Robust Speech Recognition
Accurately recognizes speech content even in noisy environments.
Efficient Training
Optimizes training efficiency using mixed-precision training and gradient accumulation techniques.
Fine-tuning Optimization
Fine-tuned on private datasets to meet specific speech recognition needs.

Model Capabilities

Speech-to-Text
Noisy Environment Speech Recognition
Multilingual Speech Recognition (inference)

Use Cases

Speech Transcription
Meeting Minutes
Automatically transcribes meeting content to generate text records.
Highly accurate transcription results, supporting subsequent editing and analysis.
Voice Assistants
Smart Assistant
Used for voice command recognition in smart devices.
Accurately recognizes user commands even in noisy environments.
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