Speech processing, is well, processing of speech. Understand, what’s a word? It’s data. It’s just that - everything else which comes to your mind is via the processing which happens in your mind.

Take the word butterfly. To use this word it is not necessary to make the voice weigh less than an ounce or equip it with small dusty wings. It is not necessary to invent a sunny day or a field of daffodils. It is not necessary to be in love, or to be in love with butterflies. The word butterfly is not a real butterfly. There is the word and there is the butterfly. There’s is speech, and there’s processing.

So, what does you call a butterfly in Hindi? What would you call it in Sanskrit? Persian? Japanese? Chinese? Well, 100+ languages?

An application of speech processing via digital is that it can translate, and process speech to facilitate a common understanding.

A good example is Google’s Speech API.

In their own words -

“Google Cloud Speech API enables developers to convert audio to text by applying powerful neural network models in an easy to use API. The API recognizes over 110 languages and variants, to support your global user base. You can transcribe the text of users dictating to an application’s microphone, enable command-and-control through voice, or transcribe audio files, among many other use cases. Recognize audio uploaded in the request, and integrate with your audio storage on Google Cloud Storage, by using the same technology Google uses to power its own products”

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