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Deepgram is an end-to-end deep learning platform for speech recognition. Unlike the general purpose APIs from Google or Amazon, Deepgram models are custom-trained for each customer. Whether the customer is a call center, a podcasting company, or a sales department, Deepgram can work with them to build something specific to their use case.
Sound data is incredibly rich. Consider all the features in a voice recording: volume, intonation, inflection. And once the speech is transcribed, there are many more features that can be discovered from the text transcription.
Scott Stephenson is the CEO of Deepgram, and he joins the show to talk through end-to-end deep learning for speech, as well as the dynamics of the business and the deployment strategy for working with customers.
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The post Deepgram: End-to-End Speech Recognition with Scott Stephenson appeared first on Software Engineering Daily.