Search Results for "language recognition"
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Showing 3 open source projects for "language recognition"
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Alan AI for Flutter
SDK to build a multimodal conversational UX for Flutter apps
...A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot. Alan's AI-backend powered by the industry’s best Automatic Speech Recognition (ASR), Natural Language Understanding (NLU) and Speech Synthesis. The Alan Cloud provisions and handles the infrastructure required to maintain your voice deployments and perform all the voice processing tasks. Voice enable your app, you only need to get the Alan Client SDK and drop it into your app. No need to plan for, deploy and maintain any infrastructure or speech components - the Alan Platform does the bulk of the work. -
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Alan AI for React Native
Build a multimodal conversational UX for apps created with React
...A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot. Alan's AI-backend powered by the industry’s best Automatic Speech Recognition (ASR), Natural Language Understanding (NLU) and Speech Synthesis. The Alan Cloud provisions and handles the infrastructure required to maintain your voice deployments and perform all the voice processing tasks. Voice enable your app, you only need to get the Alan Client SDK and drop it into your app. No need to plan for, deploy and maintain any infrastructure or speech components - the Alan Platform does the bulk of the work. -
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Alan AI for Cordova
Assistant SDK to build a multimodal conversational UX for Apache
...A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot. Alan's AI-backend powered by the industry’s best Automatic Speech Recognition (ASR), Natural Language Understanding (NLU) and Speech Synthesis. The Alan Cloud provisions and handles the infrastructure required to maintain your voice deployments and perform all the voice processing tasks. Voice enable your app, you only need to get the Alan Client SDK and drop it into your app. No need to plan for, deploy and maintain any infrastructure or speech components - the Alan Platform does the bulk of the work.
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