AI

A fun post for Pi day.

Amazon Transcribe provides two ways to identify speakers in a piece of audio. In this post, you will see how to use speaker identification to distinguish between the voices of two people.

Amazon Transcribe provides two ways to identify speakers in a piece of audio. In this post you will see how to use channel identification to identify speakers. In a subsequent post I will show how to use speaker identification for cases where you don’t have the speakers on separate channels.

Speech to text is now as simple as uploading a file, starting a transcription job, and waiting for the results.

This post shows how to extract key-value pair from fields in a multi-page PDF with Textract.

Textract can do more than just extract plain text, it can also identify fields in a form and extract the key-value pairs. In this post, I’ll show how to use it to extract key-value pairs from a tax document.

Occasionally you need to extract text from an image. Amazon Textract makes this easy. In this post, I’ll show how to use it to extract text from a single image.

Amazon Polly can convert text to speech in a variety of voices. In this post, I’ll use it to read a file containing a dialogue from the play Julius Caesar where Cassius and Brutus discuss Caesar, using a different voice for each speaker.

It’s easy to string together Amazon Translate and Amazon Polly to translate text, and then speak it in a different language.

Using Amazon Polly to convert text to speech is very easy, with a small .NET console application you can send the text to Amazon and play it on your computer.