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@@ -20,6 +20,6 @@ CTranslate2 optimizes Whisper for:
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  - Memory Efficiency: Optimized for low-memory environments, making it suitable for mobile and embedded devices.
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  - Multi-language Support: Handles multiple languages, dialects, and accents with high accuracy.
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  ### Performance
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- In a test on a CPU, a **3-minute** long audio clip was transcribed by the Whisper model in CTranslate2 in **36 seconds**, showcasing impressive transcription speed and efficiency for real-time or batch processing tasks.
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  Whether you're developing a real-time transcription tool or need efficient batch processing for large-scale transcription tasks, the Whisper model in CTranslate2 provides an optimized, powerful solution.
 
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  - Memory Efficiency: Optimized for low-memory environments, making it suitable for mobile and embedded devices.
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  - Multi-language Support: Handles multiple languages, dialects, and accents with high accuracy.
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  ### Performance
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+ In a test on a CPU, a **3-minute** long audio clip was transcribed by the Whisper model in CTranslate2 in **50 seconds**, showcasing impressive transcription speed and efficiency for real-time or batch processing tasks.
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  Whether you're developing a real-time transcription tool or need efficient batch processing for large-scale transcription tasks, the Whisper model in CTranslate2 provides an optimized, powerful solution.