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With Shopify’s latest update, we can see that voice search is gaining more and more popularity and that trend is not going to end any time soon. That being said, proportionally to this trend curve, demand for speech to text conversion APIs also increases. If you have an app, and you have been looking for new features, you came to the right place! How do Speech to Text algorithms work? As this is a complex topic, we won’t go too deep into it, but we’ll cover the basics that will allow you to understand how it works. The main core of these algorithms are AI and neural networks that allow fast learning and word recognition. We will assume that this ASR (Automatic Speech Recognition) system runs on the cloud so when we say the word, that word (input) is being transformed into digital representation (bits) which are sent through the API to the extraction component. Extraction component is a part of the speech recognition system that excludes noise and extracts important parts of the sequence which are sent to the main part of the system - decoder. Decoder - the heart of this system is a piece of art and is made of neural networks that are trained with millions of voices, words, sentences, different languages, accents etc. For every piece of speech data, there exists a corresponding text in this network, so when our speech input enters a decoder, it’s being compared with similar speech inputs and that speech data with the highest probability for matching will send out its text reference as an output. Which speech to text APIs are available for use?  Our goal is to use ready-made solutions and here is the list of just a few: Google Speech API Web Speech API IBM Watson Speech to Text Bing Speech API Dialogflow Speechmatics API There are many more including the free ones but for our purposes we decided to use Google Speech API and there are important reasons behind this decision: Current open source ‘speech recognition’ APIs lag behind the large companies and be

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