In an earlier blog post, I introduced Audio Notes.   This is a new a SaaS experiment that uses artificial intelligence, speech to text, and text analytics to automatically summarise audio and create concise notes from your recordings.   You can find more information about the project in these earlier blog posts.  These set the scene and show which Azure AI services make this end-to-end solution possible: Introduction Using Azure AI Speech to Perform Continual Speech to Text Transcription Using Azure AI Language to Perform Document Summarization Blending Azure AI Speech and Azur ..read more

This is an expansion of a post on X (Twitter) from a few weeks ago.  For context, here is the original post/tweet: I hadn't mentioned this as at the time, as there were many layoffs taking place at Twitter (now X). It didn't seem right to share. A few months ago, I was on the verge of entering an agreement with an entrepreneur marketplace for my social analytics and content scheduling SaaS. This would have been a massive boost for user subscriptions. Then, after Twitter takeover, API and data access was vastly reduced to the platform for 3rd party developers. (Unless you pay 40k+ US ..read more

Logging helps you diagnose problems and whilst dumping output to the console is suitable for most instances, there might be situations where you don’t have the option of surfacing logging output to Application Insights in Azure.   Logging to an external file can help.   In this short post you will see how to implement logging to JSON files using .NET 6 and Serilog.Extensions.Logging.File package.   Serilog.Extensions.Logging.File This package makes it possible for you to add file logging in a few lines of code to ASP.NET Core applications ..read more

Sometimes you want to quickly read settings without any of the regular dependency injection or typical ceremony such as creating a strong typed object to store values. For example, when creating the Audio Notes MVP, I wanted a quick way to read the Azure AI Language API endpoint and API key. Example JSON File You can see the appsettings.json file with these values here: { "Logging": { "LogLevel": { "Default": "Information", "Microsoft.AspNetCore": "Warning" } }, "AppSettings": { "TextAnalyticsEndpoint": "https://{endpoint}.azure.com/", "TextAnalyticsAPIKey ..read more

In an earlier blog post, I introduced Audio Notes.   This is a new a SaaS experiment that uses artificial intelligence, speech to text, and text analytics to automatically summarise audio and create concise notes from your recordings.   You can find more information about the project in these earlier blog posts.  These set the scene and show which Azure AI services make this end-to-end solution possible: Introduction Using Azure AI Speech to Perform Continual Speech to Text Transcription Using Azure AI Language to Perform Document Summarization   In this blog post (P ..read more

In an earlier blog post, I introduced Audio Notes.   This is a new a SaaS experiment that uses artificial intelligence, speech to text, and text analytics to automatically summarise audio and create concise notes from your recordings.   In the first part of this series, I showed how Azure AI Speech is used to perform real-time, continuous transcription of speech to text within the web browser.   In this blog post, you will see how transcribed text is summarized using Azure AI Language. ~ What is Azure AI Language? Azure AI Language is a service that encapsulates multiple Natural ..read more

In an earlier blog post, I introduced Audio Notes. This is a new a SaaS experiment that uses artificial intelligence, speech to text, and text analytics to automatically summarise audio and create notes from your recordings. Azure Speech to Text Capabilities Real-time speech-to-text lets you transcribe speech from a microphone, file, memory stream. It can be used in scenarios such as: Creating, captions or subtitles in meetings Contact centres agent assistance Dictation ~ Single Capture Recognition Single-shot recognition lets you recognizes a single utterance. The end of a single utterance ..read more

I bought a domain name a few weeks ago – https://audionotes.co.   This is a new a micro-SaaS that uses artificial intelligence, speech to text, and text analytics to automatically summarise audio and create notes from your recordings.   When build is complete, you can use Audio Notes to speak and capture ideas then automatically have them converted into a concise notes.  You might use this to create drafts of blogs, social media posts, or meeting notes.   It will run in Azure, use Azure AI, and be built using Visual Studio 2022 with C#.   A combination of the following ..read more

A few weeks ago, I built and shipped a micro-SaaS.  It’s called Daily Tracker and online at https://dailytracker.co.   Signup with just an email address, password and supply your timezone and you’re in.  It’s 100% free.   I recently shipped and announced new AI capabilities in an earlier blog post.   I’ve added a new reporting feature called Mood Insights. This uses AI to further categorise help you drill down into the detail of what made you smile, meh, or frown.   Read on to learn more about this. ~ Existing Mood Map The existing mood map shows you the distribut ..read more

Blink and you might have missed it but during Microsoft Inspire, and as of the 18th of July, Azure Cognitive Services and Applied AI are now collectively known as Azure AI Services.   You can see the renaming for all existing products in the table below: Current Product Names Updated Names Azure AI Content Safety Azure AI Content Safety Azure Form Recognizer Azure AI Document Intelligence Translator Azure AI Translator Metrics Advisor Azure AI Metrics Advisor Immersive Reader Azure AI Immersive Reader Cognitive Service for Speech Azure AI Speech Custom Vision Azure AI Cus ..read more