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Whisper Base

Developed by onnx-community
Whisper is an automatic speech recognition (ASR) system trained by OpenAI, supporting multilingual speech transcription.
Downloads 5,704
Release Time : 5/24/2024

Model Overview

Whisper Base is the foundational model in the Whisper series, focusing on high-accuracy speech-to-text tasks and supporting multiple languages.

Model Features

Multilingual Support
Capable of recognizing and transcribing speech content in multiple languages
ONNX Format Compatibility
Converted to ONNX weight format, ensuring compatibility with Transformers.js for web applications
High Accuracy
Based on Transformer architecture, delivering high-quality speech recognition results

Model Capabilities

Speech-to-Text
Multilingual Speech Recognition
Real-time Speech Transcription

Use Cases

Speech Transcription
Automated Meeting Minutes
Automatically convert meeting recordings into text transcripts
Improves meeting documentation efficiency and reduces manual transcription time
Podcast Subtitle Generation
Automatically generate subtitles for podcast content
Enhances content accessibility and broadens audience reach
Voice Assistants
Voice Command Recognition
Recognize and understand user voice commands
Enables natural language interaction interfaces
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