In this article, we will go back to the beginning and describe how engineers create speech-to-text software.Īlthough end-to-end speech-to-text systems (the technique where a model learns all the steps between the initial input and the final outputed results) have recently started to show certain strengths in the world of AI, Phonexia – like many other technology companies – creates speech to text as a hybrid system because it gives very positive results when evaluated on customer data. It is not, however, the purpose of this article to name them all, as anyone can think of numerous possibilities for its use with just a little imagination. The possible uses of this technology are many and diverse. Speech to text (audio to text or voice to text) is speech recognition software that converts spoken language to text.
Speech recognition not only makes it easier for individual users to use their devices faster and more efficiently, but it also helps many professionals to have a better work experience – from police officers investigating phone calls from suspected criminals to operators in call centers whose work is made simpler by voicebots that process customer information before speaking to the operator.
Speech to text is a technology whose use is becoming more and more present in many areas of life thanks to its great versatility.
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