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Exp W2v2t En Unispeech Sat S459
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Exp W2v2t En Unispeech Sat S459
Developed by jonatasgrosman
An English speech recognition model fine-tuned based on Microsoft's UniSpeech-SAT-Large model, supporting 16kHz sampled audio input.
Downloads 22
Release Time : 7/8/2022
Model Overview
This model is an automatic speech recognition (ASR) model fine-tuned on the Common Voice 7.0 English dataset using the microsoft/unispeech-sat-large architecture, specifically designed for English speech-to-text tasks.
Model Features
High-Quality Speech Recognition
Fine-tuned based on Microsoft's UniSpeech-SAT-Large model, providing high-quality English speech recognition capabilities
16kHz Sampling Rate Support
Specially optimized to support 16kHz sampled audio input
Open-Source License
Licensed under Apache-2.0, allowing commercial and research use
Model Capabilities
English Speech Recognition
Speech-to-Text
Use Cases
Speech Transcription
Meeting Transcription
Automatically convert English meeting recordings into text transcripts
Podcast Subtitle Generation
Automatically generate subtitles for English podcast content
Voice Assistants
Voice Command Recognition
Used for command recognition in English voice assistant systems
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