openai/whisper-large-v3-turbo - AI Audio Models Tool

Overview

Whisper-large-v3-turbo is a finetuned, pruned version of Whisper large-v3 for automatic speech recognition and speech translation. It reduces decoding layers from 32 to 4 for much faster inference with only a minor quality trade-off, and integrates with Hugging Face Transformers while supporting 99 languages.

Key Features

• Finetuned, pruned variant of Whisper large-v3
• Decoding layers reduced from 32 to 4 for faster inference
• Supports automatic speech recognition and speech translation
• Supports 99 languages
• Integrates with Hugging Face Transformers
• Significantly faster inference with only a minor quality trade-off

Ideal Use Cases

• Fast, multilingual transcription for batch audio
• Low-latency speech recognition where inference speed matters
• Speech-to-text translation across many languages
• Preprocessing audio for downstream NLP pipelines
• Generating captions and transcripts for accessibility

Getting Started

• Visit the model page on Hugging Face
• Install Transformers and required dependencies
• Load the model via the Hugging Face Transformers API
• Provide audio input and run transcription or translation
• Adjust task and language parameters as needed

Pricing

Not disclosed

Limitations

• Minor transcription quality trade-off compared to the full Whisper large-v3 model

Key Information

• Category: Audio Models
• Type: AI Audio Models Tool