Google brings 'AI Edge Eloquent' app for offline speech-to-text on iOS - Business Standard
Summary
Google has released AI Edge Eloquent, a new iOS dictation application designed for real-time, offline speech-to-text conversion. The app utilizes Google's Gemma AI models for automatic speech recognition, enabling it to function without an internet connection after initial model downloads. A key feature is its ability to automatically remove filler words like "um" and "uh" and correct mid-sentence stumbles, producing clean, professional text. Users can opt for on-device processing or enable a cloud mode that leverages Gemini models for enhanced text refinement and can integrate keywords from Gmail. The app also offers text formatting options, custom word additions, and transcription history tracking, and is compatible with iOS 16+, macOS 13+ (Apple silicon), and visionOS 1.0+.
Key takeaway
For professionals who frequently dictate notes or drafts, Google AI Edge Eloquent offers a robust solution for generating clean, edited text directly from speech, even offline. Your workflow can become more efficient by leveraging its AI-driven cleanup of filler words and stumbles. Consider integrating this app to streamline documentation and content creation, especially when internet access is unreliable.
Key insights
Google's AI Edge Eloquent offers real-time, offline speech-to-text with AI-driven filler word removal.
Principles
- On-device AI enhances privacy and accessibility.
- AI can refine natural speech into professional text.
Method
The app converts speech to text using Gemma AI, then refines it by removing filler words and stumbles, optionally using Gemini models for further enhancement.
In practice
- Use custom words for specialized jargon.
- Switch to cloud mode for Gemini-powered refinement.
Topics
- Google AI Edge Eloquent
- Offline Speech-to-Text
- Gemma AI
- Filler Word Removal
- iOS Dictation
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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.