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Whisper Medium

Developed by Xenova
Whisper Medium is a medium-scale speech recognition model developed by OpenAI, supporting automatic speech recognition (ASR) tasks in multiple languages.
Speech Recognition
Transformers
#Speech-to-Text#Multilingual Support#Web Adaptation
Downloads 871
Release Time : 5/31/2023

Model Overview

Whisper Medium is a Transformer-based speech recognition model capable of converting speech to text with support for multiple languages.

Model Features

Multilingual Support
Supports speech recognition in multiple languages, suitable for international applications.
High Accuracy
Based on the Transformer architecture, it provides high-precision speech-to-text capabilities.
ONNX Compatibility
Supports the ONNX format, facilitating deployment on web and other platforms.

Model Capabilities

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

Use Cases

Speech Transcription
Meeting Minutes
Automatically converts meeting recordings into text records for easy reference and analysis.
High-precision transcription with support for multilingual meetings.
Subtitle Generation
Automatically generates subtitles for video content, enhancing accessibility.
Supports subtitle generation in multiple languages.
Voice Assistants
Voice Input
Provides speech-to-text functionality for voice assistants, enabling natural language interaction.
Low-latency, high-precision speech recognition.
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