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Showing 3 open source projects for "speech"
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Apify is a full-stack web scraping and automation platform helping anyone get value from the web.Actors are serverless cloud programs that extract data, automate web tasks, and run AI agents. Developers build them using JavaScript, Python, or Crawlee, Apify's open-source library. Build once, publish to Store, and earn when others use it. Thousands of developers do this - Apify handles infrastructure, billing, and monthly payouts.
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The sales CRM that makes your life easy, so all you have to do is sell.Welcome to the simpler way to sell. Pipedrive is CRM software that makes your life easy, for less legwork and more sales. Let us track your sales conversations, eliminate admin tasks, get you more leads and uncover how you win, because your day belongs to you. Join more than 100,000 sales teams around the world that use the CRM rated #1 by SoftwareReviews in 2019. Start your free 14-day trial and get full access – no credit card needed.
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...Features • 3 Translation Modes: Fluent (parallel), Area (overlay), Full Screen (smart detection) • Speaker detection with color-coding • Glint AI custom terminology control • Game-based profile system • Advanced settings with 50+ parameters for fine-tuned control • Share and import custom profiles (.glint) between users • Low CPU/RAM usage, optimized for Windows 10/11 Live Subtitle (Real-Time Voice Translation) Real-time speech-to-text translation for games, movies, and voice chats. Automatically detects audio, converts speech to text, and translates it instantly. Example: They speak German → you see Turkish AI Model Support • Google Gemini: 2.5 Flash, 2.5 Pro • OpenAI: GPT-4o, GPT-4 Turbo
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Automated Attendance System (AAS) uses 2 modes for authentication - * Voice Identification System (VIS) * Fingerprinting Method The algorithms used for the same has been developed by me. This algo is more efficient and faster.
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<h3>SpeaR</h3><b>SpeakingRoomplan</b> <p> SpeaR, der sprechende Raumplan, liest Ereignisse aus eine DB aus und gibt entsprechende Meldungen in verschiedenen Räumen aus.</P> <br>DB <--JDBC--> Server <--JINI--> SpeakingClients
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