Live Speech to Text using Microsoft Azure Cognitive Services and Ably MQTT
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Updated
Oct 3, 2023 - JavaScript
Live Speech to Text using Microsoft Azure Cognitive Services and Ably MQTT
Enjoy Literature Texts translated into your preferred language as text and audio using Microsoft Azure Cognitive Services
This solution is the voice to text by using Bing Speech API with Dynamics 365.
Telegram bot for recognition text from images using Azure Cognitive Services
Making the web easily acccessible through chat bots. Created in 24 hours at #tamuhack2020
No more passive watching – ask questions, seek clarifications, and get instant responses through real-time conversations with the lecture content on Microsoft Stream.
🦠View the positive and negative sentiments of news headlines surrounding coronavirus. The site uses Microsoft Azure's Cognitive Services Text Analytics Machine Learning API to determine sentiment.
Demo project implementing a transcription workflow using Azure
Serverless Face Recognition App using Azure Cognitive Services & Functions
A WebExtension turning people's faces to appropriate emojis on websites
The Azure Functions used for NHS Chatbot Generation Service
Cílem tohoto projektu je připravit progresivní webovou aplikaci pro DCM v Hradci Králové, díky které bude možno převést postní brožuru do online podoby.
Web app looking for places where you can buy the objects in a picture.
chat application. voice to text 🎙️ 💬
This simple web app uses Azure for text translation, text-to-speech conversion, and sentiment analysis of input text and translations.
Generate relevant alt text for images using AI.
A React.js dashboard that gives location-specific COVID-19 news using the Bing News API across major counties and all states in the USA.
Proof-of-concept for a feedback aquisition system using Airtable as a database and CMS and Azure Text Analysis to analyze free-text input
Mobile App realized with ReactNative framework that interacts with Microsoft Azure Services.
API that uses Azure cognitive services QNA maker to create a question-answer layer over the knowledgebase.
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