Deepgram speech understanding

Accurately identify, extract, and summarize conversational audio to deliver amazing customer experiences.

Natural Language Understanding (NLU) via domain-specific language models (DSLMs) built on the industry’s most accurate, reliable speech-to-text.

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From transcription to understanding.

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Audio Input

Alright. I’m ready. Good evening. I’m Dr. Emmett Brown. I’m standing on the parking lot at Twin Pines Mall. It’s Saturday Morning October twenty sixth nineteen eighty five one eighteen AM. And this is temporal experiment number one. Come on Einey. Hey, boy. Get in there. At a boy. In you go. Sit down. Get your seatbelt on. That’s it. Okay. Please note, that Einstein’s clock is in precise synchronization with my control watch. Got it? Right. Check Doc. Good. Have a good trip Einstein. Watch your head. You got that thing hooked up to the car? Watch this. Yeah Ok. Not me the car, the car. If my calculations are correct. When this baby hits eighty eight miles per hour, you’re gonna see some serious s**t.

“summary”: “An experiment is being conducted. The speaker is Dr. Emmett Brown and he gives his location and the date and time. Someone is traveling by car and the experiment is about to begin.”

Watch this watch this. What did I tell you? Eighty eight miles per hour. The thermal displacement occurred exactly what? One O two AM and zero seconds. Jesus Christ. Jesus Christ, doc, you disintegrated Einstein. Calm down Marty. I didn’t disintegrate anything. The molecular structure of both Einstein and the car are completely intact. Then where hell are they? The appropriate question is, when the hell are they? You see, Einstein has just become the world’s first time traveler. I set him into the future. One minute into the future to be exact. Now precisely one twenty one AM and zero seconds we shall catch up with him and the time machine. Wait a minute. Wait a minute. Doc. Are you telling me that you built a time machine out of a Delorean?

“summary”: “There is concern over the traveler’s safety but everything is intact. The event is the world’s first time travel experiment made out of a Delorean.”


Language understanding features


Summarize sections of content in your audio for better readability, ease of use, and analysis.

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Sentiment analysis

Determine positive, neutral, or negative opinions to identify warm leads or problematic calls.

Topic detection

Identify and label key topics for ease of classification and to discover trends and insights.

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Entity detection

Identify a variety of entities such as names, locations, account numbers, quantities, and more.

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Speaker diarization

Know who’s talking. Detect and label speaker changes throughout a conversation.

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Language detection

Automatically identify and transcribe the dominant language in your audio.

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Your topic modeling, your sentiment analysis, your detection of product features and competitors, and value drivers all come from the transcript. The quality of your transcript therefore has implications all the way down your value chain.

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