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Deepgram Speak '26San Francisco | October 29Reserve your spot49d : 01h : 02m : 35sThe future is talking. Turn it up.Deepgram Speak brings the people building voice AI together for one day, in one room. Come curious. Come ready to compare notes. There's a lot to talk about.What you can expect:Live product moments and hands-on demos.Keynotes and fireside chats on where voice AI is headed.Real conversation with the people building and shipping voice AI, not sales pitches.Reserve your spotOur event sponsorsBecome a sponsorSave the dateWhenThurs, October 298:00 AM – 6:00 PMWhereThe AviaryThe Aviary (opens in a new tab)135 Fourth St, Ste. 4000 San Francisco, CAThe future is talking. Turn it upReserve your spot

Listen to article11:24Table of ContentsSpeaker diarization is the process of automatically identifying and separating individual speakers within an audio stream. When applied to automatic speech recognition (ASR) transcripts, speaker diarization labels each utterance with its corresponding speaker, transforming a continuous block of text into a structured, readable conversation format.Each speaker is identified by their unique audio characteristics—including vocal pitch, cadence, and acoustic patterns—and their utterances are grouped together under consistent labels. This capability is also referred to as speaker labels, speaker segmentation, or speaker change detection.Speaker diarization answers the fundamental question: "Who spoke when?" Understanding what speaker diarization is and how it works is essential for building voice-enabled applications that require speaker attribution.Example with speaker diarization:Without speaker diarization:My name is Beth, and I will be assisting you today. How are you doing? Not too bad. How are you today? I'm doing well. Thank you. May I please have your name? My name is Blake.With speaker diarization:[Speaker:0] My name is Beth, and I will be…

Built for the language of pharmaPower accurate, reliable, and secure pharmaceutical voice applications with speech-to-text optimized to transcribe drug names, pharmaceutical terminology, and medical vocabulary.Try in API PlaygroundSign up for freeLoading video...The leader in pharmaceutical speech recognitionGeneral-purpose clinical STT models routinely mistranscribe drug names and pharmaceutical terminology, introducing errors that can affect patient care and critical pharmaceutical workflows. Nova-3 Pharma is specifically designed to accurately transcribe the terminology those workflows depend on.#1 in pharmaceutical terminology accuracyAccurately transcribes drug names, pharmaceutical terminology, and medical vocabulary while maintaining the same high-quality transcription performance of Nova-3. It ranks #1 in drug name recognition across both batch and streaming among the models evaluated.Designed specifically for pharmaceutical workflowsBuild pharmacy IVRs, prescription refill automation, member services and contact center voice agents, and clinical documentation on a single speech-to-text platform.Seamless deploymentDeploy using model=nova-3-pharma with no infrastructure chan…

Listen to article03:42Table of ContentsIn pharmaceutical workflows, getting a medication name wrong isn’t just another transcription error. It can introduce incorrect information into critical workflows, from prescription refill automation and pharmacy IVRs to clinical documentation. A transcript can score highly on overall accuracy, but an error on a medication name can carry far greater consequences than errors elsewhere in the transcript.That’s why we built Nova-3 Pharma, the first speech-to-text model purpose-built for the pharmaceutical industry. Nova-3 Pharma is specifically designed to accurately transcribe drug names, pharmaceutical terminology, and medical vocabulary while maintaining the same high-quality transcription performance Deepgram customers expect from Nova-3. In our latest competitive benchmarks, Nova-3 Pharma ranks #1 in drug name recognition and #1 in overall transcription accuracy across both batch and streaming.With Nova-3 Pharma, developers can build pharmacy IVRs, prescription pickup and refill automation, member services and contact center voice agents, and clinical documentation applications where drug name accuracy is critical.It’s available now for bot…

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Deepgram vs. AssemblyAISee why 200,000+ developers prefer Deepgram for streaming and batch STT.Deepgram offers the most accurate streaming STT APIDeepgram far outperforms Assembly AI in performance benchmarksDeepgram offers on-premises and cloud APIs Start for FreeBased on 250+ reviewsTrusted by industry leadersDeepgram beats AssemblyAIBuild with enterprise-grade speech recognition that's faster, more accurate, and affordable. No compromises.Flexible deploymentChoose cloud, on-premises, or private cloud to securely manage voice and transcription data with Kubernetes, Docker, and pre-built VM support for easy setup in any environment.Custom model trainingDeepgram offers tailored ASR models optimized with customer-specific data, ideal for industries with specialized jargon, accents, or unique speech patterns.Enterprise securityProtect customer data privacy and ensure regulatory compliance with HIPAA-compliant transcription.Innovation leader in Voice AIDeepgram's deep learning models are optimized for speech data and trained on diverse datasets, delivering industry-leading performance in pre-recorded and real-time transcription.Fast and accurate transcriptionDeepgram's speech-to-text …

Listen to article03:24Table of ContentsBack in January, we supported Hack Cambridge - a 24-hour student hackathon. The team behind AutoBubble wanted to see if they could improve the display of captions for online videos. I sat down with Andy Zhou, Conall Moss, Dan Wendon-Blixrud, and Lochlann-B Baker to ask them about their project.The Project"There were a lot of challenges and prompts at Hack Cambridge, but the Deepgram challenge was both the most flexible and the coolest" explains Conall. "We knew we were going to use it but then had to think of an idea."Dan continues: "A lot of speaker communication comes through facial expressions, and while closed captions are super useful, they are generally in a fixed position. We wanted to build a project which allows for captioning while allowing the depth of expression."With that, AutoBubble was born. It is a Chrome extension that uses facial recognition and Deepgram's Speech Recognition API to place captions next to a speaker's face in a YouTube video.First-Time HackersThe team behind AutoBubble are all first-year Computer Science students at the University of Cambridge and, amazingly, were taking part in their very first hackathon. All …

Listen to article01:52Table of ContentsWe're pleased to announce that we've recently received recognition from two different venues. First, we're now number 1 on G2 in the Voice Recognition Software category, as well as being highlighted as a High Performer in G2's most recent quarterly report. Second, we won a Silver Stevie Award in the Sales or Customer Service Solutions Technology Partner of the Year category. One of the driving forces for both of these recognitions is our focus on customer service and success. If you've ever tried to use Big Tech's automatic speech recognition (ASR) solutions, you know that if you run into trouble or need help from an actual human, you're pretty much out of luck. You just have to hope that whatever your problem is clearly documented.Customer Success is at the Heart of DeepgramAt Deepgram, however, we aspire to go beyond these kinds of transactional business relationships with our customers and instead aim to build partnerships. We want to ensure that all of our customers are achieving their desired outcomes and seeing the value of their partnership with Deepgram. Our Customer Success team works hand-in-hand with each customer to have a clear vi…

Listen to article16:26Table of ContentsRecently I wrote about a project I did to help me learn Pinia, Vue 3's new official state management system. I built a basic to-do list app:It dawned on me that a fun way to jazz up this project would be to use Deepgram to make the app voice-powered so that a user can speak commands to add, delete, or check-off items on the list.I'm inspired by my colleague Bekah's series about updating portfolio projects. A voice-based to-do list app would be a lot more interesting than a regular to-do list app!Build a To-Do List App With Vue 3, Pinia, and Deepgram (SERIES)Build a To-do List App with Pinia and Vue 3Build a Voice Controlled To-Do List App with Deepgram and Vue 3The project I originally did can be found in this repo, and the accompanying blog post is here. Check it out to build the standard to-do list project with Vue 3 and Pinia.In this iteration of the project, I'll continue to use Pinia to manage global state, but I'll add Deepgram so I can use Deepgram's speech-to-text API to help me power the voice-control feature. If you want to build this voice-control feature along with me, I've created a starting branch here.Deepgram Live Streaming Log…

Listen to article06:04Table of ContentsSo, you've probably heard about OpenAI's Whisper model; if not, it's an open-source automatic speech recognition (ASR) model – a fancy way of saying "speech-to-text" or just "speech recognition." What makes Whisper particularly interesting is that it works with multiple languages (at the time of writing, it supports 99 languages) and also supports translation into English. It also has a surprisingly low word error rate (WER) out-of-the-box.Whisper makes it pretty easy to invoke at the command line, as a CLI:Bash$ curl -sSfLO https://static.deepgram.com/example/tenant_of_wildfell_hall.mp3 $ whisper tenant_of_wildfell_hall.mp3 Detecting language using up to the first 30 seconds. Use `--language` to specify the language Detected language: English [00:00.000 --> 00:07.000] On entering the parlour, we found that Honoured Lady seated in her armchair at the fireside, [00:07.000 --> 00:27.000] working away at her knitting.And here's an example of its language detection at work:Bash$ curl -sSfLO https://static.deepgram.com/example/el_caso_leavenworth.mp3 $ whisper el_caso_leavenworth.mp3 Detecting language using up to the first 30 seconds. Use `--langu…

Listen to article02:41Table of ContentsSo, you want to run the OpenAI Whisper tool on your machine? You can load it from the OpenAI Github repository to get up and going!SetupYou'll need python on your machine, at least version 3.7. Let's set up a virtual environment with venv (or conda or the like) if you want to isolate these experiments from other work.Bashmkdir whisper cd whisper python3 -m venv venv source venv/bin/activate # always a good idea to make sure pip is up-to-date pip3 install --upgrade pipNext, install a clone of the Whisper package and its dependencies (torch, numpy, transformers, tqdm, more-itertools, and ffmpeg-python) into your python environment.Bashpip3 install git+https://github.com/openai/whisper.gitEspecially if it's pulling torch for the first time, this may take a little while. The repository documentation advises that if you get errors building the wheel for tokenizers, you may also need to install rust. You'll also need ffmpeg - installation depends on your platform. Here are some examples:Bash# on Ubuntu or Debian sudo apt update && sudo apt install ffmpeg # on Arch Linux sudo pacman -S ffmpeg # on MacOS using Homebrew (https://brew.sh/) brew install …

Enterprise Voice AI on AWS, integrated into AWS ConnectAccurate, real-time transcription for agent assist, CX workflows, and automation, all on AWS.Real-time transcription, automated workflows, whatever you're building, you can now do it with models that actually perform. And your voice agents will sound human, not robotic.Seamless integration with existing Connect and Lex workflows, no hacks, no heavy liftingUltra-low latency for natural, real-time conversationsState-of-the-art accuracy across noisy environments and diverse accentsScalability to support the largest enterprise deploymentsTrusted byTrusted by

Super-Charge Your CX With Accurate Speech RecognitionDeepgram is the most accurate, fastest, scalable, and affordable Automatic Speech Recognition (ASR) solution for enterprises and software companies.Talk To An ExpertWhat Is DeepgramLoading video...Trusted by the world’s top Enterprises and StartupsSpeech AI Designed with Your Use Case in MindUnleash the potential of Deepgram's cutting-edge speech recognition API across diverse applications. From enhancing accessibility in real-time transcriptions to powering voice assistants for effortless interactions, Deepgram delivers unparalleled performance for every use case.Contact CentersTranscribe customer interactions into actionable data and analyze customer sentiment, detect key topics to enable agents in real time.Conversational AIPower AI virtual assistants with robust understanding capabilities for more intuitive conversational AI experiences.Speech AnalyticsTranscribe conversational data for analysis to surface relevant insights, monitor regulatory compliance, QA, and more.Media TranscriptionCaption, summarize, and analyze podcasts and videos affordably and efficiently to streamline production workflows.E-learningEnhance online le…

Listen to article12:45Table of ContentsAn energy-threshold detector, scored against 30 hours of hand-annotated human conversation, fired on 45% of the backchannels and non-speech noise it heard. In casual talk, where backchannels are densest, that rate climbed to 52%.None of those triggers was a bid to speak, and every one of them would stop a voice agent mid-sentence. Turn detection separates a listener's "keep going" from a caller taking the floor. An energy threshold can't make that distinction.Your transcript already carries most of it. In this guide you'll find which tokens to look for, how long to wait after one, and what to log when your policy guesses wrong.Key takeawaysFour things decide whether your agent holds its ground or stops talking:A backchannel is a continuer that tells the speaker to keep going rather than a signal that the listener wants the floor.Energy-based barge-in can't separate the two, because both arrive as speech energy while your agent is talking.The specific backchanneling tokens (uh-huh, mhmm) land in your transcript once filler words are on; handling them is a lookup.The negative forms (uh-uh, nuh-uh, mm-mm) are the exception. They're two-syllable c…

Deepgram for StartupsBuild your voice AI product on the platform startups trust.Get the accuracy, speed, and reliability your product demands on a single voice AI platform. Apply to Deepgram for Startups and get up to $100,000 in credits over 12 months.Applicants must be:An AI builder or early-stage startupIn production or looking to launch in the next 6 monthsCommitted to actively building and engaging with our communityApply NowThose selected get exclusive access to:API CreditsUp to $100k Deepgram credits to build with Deepgram's powerful STT, TTS, Voice Agent capabilities. Credits must be used within 12 months.Community & NetworkingAccess invite-only events, engineering support groups, and the Deepgram startup community.99.5%Enterprise AccuracyIndustry-leading speech recognition across accents and domains.<200msUltra-Low LatencyReal-time streaming for live conversations and voice agents.EnterpriseSecuritySOC 2, PCI, GDPR, and HIPAA compliant.50+Global ScaleLanguages supported with consistent quality worldwide.Apply today!Create a Deepgram account to apply. Have your Project ID handy. Sign in / Create account — opens in a new tab, your progress stays here.How it works1. ApplyTell…

Deepgram x EWOR Startup ProgramDeepgram has partnered with EWOR to provide up to $100,000 in credits to power your voice AI product for 12 months.Apply NowDo more with voiceDeepgram is a comprehensive AI transcription foundation plus the understanding features you need to make your data readable and actionable by humans...or machines.Access to AI researchers and engineerswho will work hand-in-hand with you to transform your vision into reality.Up to $100k Deepgram creditsUse these credits to access all our powerful STT, TTS, Voice Agent, and Audio Intelligence APIs.Join a thriving voice AI startup communityGet invited to exclusive startup events, learn from industry experts, and connect with other builders.Topic summarizationAccurately identify, extract, and summarize conversational audio in your product.Join the programRequirements to join:Created a free Deepgram accountYou're a talented AI builder or an early-stage startup (<$10m raised)Committed to actively building and engaging with our communityIn production or looking to launch in the next 6 monthsApply nowDeepgram’s transcription is super fast and accurate. Their managed whisper API has also been huge accelerator for how qui…

Deepgram x LVL1 Startup ProgramDeepgram has partnered with LVL1 to provide up to $100,000 in credits to power your voice AI product for 12 months.Apply NowDo more with voiceDeepgram is a comprehensive AI transcription foundation plus the understanding features you need to make your data readable and actionable by humans...or machines.Access to AI researchers and engineerswho will work hand-in-hand with you to transform your vision into reality.Up to $100k Deepgram creditsUse these credits to access all our powerful STT, TTS, Voice Agent, and Audio Intelligence APIs.Join a thriving voice AI startup communityGet invited to exclusive startup events, learn from industry experts, and connect with other builders.Topic summarizationAccurately identify, extract, and summarize conversational audio in your product.Join the programRequirements to join:Created a free Deepgram accountYou're a talented AI builder or an early-stage startup (<$10m raised)Committed to actively building and engaging with our communityIn production or looking to launch in the next 6 monthsApply nowDeepgram’s transcription is super fast and accurate. Their managed whisper API has also been huge accelerator for how qui…

Deepgram x AWS Startup ProgramDeepgram has partnered with AWS to provide up to $100,000 in credits to power your voice AI product for 12 months.Apply NowDo more with voiceDeepgram is a comprehensive AI transcription foundation plus the understanding features you need to make your data readable and actionable by humans…or machines.Access to AI researchers and engineerswho will work hand-in-hand with you to transform your vision into reality.Up to $100k Deepgram creditsUse these credits to access to all our powerful STT, TTS, Voice Agent, and Audio Intelligence APIs.Join a thriving voice AI startup communityGet invited to exclusive startup events, learn from industry experts, and connect with other builders.Topic summarizationAccurately identify, extract, and summarize conversational audio in your product.Join the programRequirements to join:Created a free Deepgram accountYou're a talented AI builder or an early-stage startup (<$10m raised)Committed to actively building and engaging with our communityIn production or looking to launch in the next 6 monthsApply nowDeepgram’s transcription is super fast and accurate. Their managed whisper API has also been huge accelerator for how quic…