Like plumbing, metadata is not exciting, but extremely important.

Text-to-Speech: We convert Alexa’s textual response to the customer's request into spoken audio.

Deep Music Intelligence: This encompasses everything from finding the right song, adding correct metadata to fulfill or do more with a request, applying personalization, sequencing, capturing whether or not you liked it, and a whole lot more.

So, for example, if you say “Alexa, play the album Rattle and Hum” it knows you want to listen to the album, not watch the documentary. The second step is actually making sense of that text and understanding the way you speak naturally. Natural Language Understanding (NLU): The second step is to extract the meaning of that text so that Alexa can take the appropriate action to respond.Automatic Speech Recognition (ASR): When you ask Alexa to play a song - ASR converts your speech into literal text.It's a generalization of the tech, but there are four major steps that happen after you summon Alexa with a wake word and utterance: In most cases, this is “Alexa” - but it can also be changed to “Computer”, “Echo”, or “Amazon.” Echo devices are designed to detect only your chosen wake word. Wake Word - The bridge between you and the technology we use to power the Alexa voice experience is facilitated by using a wake word.

We use this word in reference to the specific request a listener makes of Alexa. Utterance - The word utterance by definition means “a spoken word, statement, or vocal sound”. Here are the basics on how the technology works and some voice-related terminology to level-up your understanding.

Using Amazon Music with Alexa can be magical, but a lot of work goes in behind the scenes to make it happen.

Alexa music