Building @smallest_ai
San Francisco, CA
Joined July 2020
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- Following656
- Followers1.6K
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Most can't rap the any verse of "Godzilla." Pulse STT can.
296 words, transcribed live, 1.4% word error rate. That's roughly 4 mistakes in the whole verse, which is fewer than I'd make reading the lyrics.
Why it's hard: there are no pauses, the syllables blur together, and there's a beat under the vocals. That's exactly where speech-to-text usually drops words or makes them up.
If Pulse can keep up with Eminem, your customer calls are the easy part 🙌
Top tier captioning tool with 30k+ users.
No payment required.
Editing takes skill. Captioning takes hours.
Capkit by Smallest AI takes the Captioning one off your plate. Click Generate and animated captions land on your Premiere Pro or After Effects timeline.
It runs on Pulse, the fastest speech to text model in the world, so the wait between Generate and captions on the timeline is barely a wait. 20+ languages, Hinglish included.
Link in the first reply.
Smallest 🤝 @hyperspell
Spent the afternoon with @contextconor at their office.
something's cooking 👀
also got some top tier merch in SF.
single till series B 💅
Devanshpawan retweeted
“Why are you threatening me?”
A collections call turns tense. The customer is behind on an EMI, the promised payment date has passed, and he’s already angry. One wrong word can escalate the call.
Every detail matters: ₹19,506, a 20 August due date, and a conversation that switches between Hindi and English.
Hear how Lightning v3.1 Pro responds. The same words can sound like a threat or a plain statement of fact, depending on how they’re said.
Switch to Lightning v3.1 Pro TTS today. Link in the first reply.
this entire video is makes on @clueso only with 3 prompts btw
Congratulations to the whole Clueso team.
Clueso has raised a $10M Series A.
Congratulations to the entire @clueso team on this milestone.
Clueso is building agentic video creation for every team, from product demos and launches to training and internal comms.
Every great product video needs a voice that can carry the story.
That’s where @smallest_AI TTS comes in, bringing natural, controllable narration directly into Clueso’s video workflow.
Proud to give a voice to what Clueso is building.
Devanshpawan retweeted
Lovely meeting anand from @credgenics and sudharshan and team from @smallest_AI
Crazy things happen in SF, at one point you meet a unicorn founder randomly and then you meet a potential unicorn founder the other moment. Serendipity :)
Devanshpawan retweeted
Smallest AI is coming to @Stanford
Together with @BASES , we’re hosting "Breaking the Turing Test", a technical presentation on the architecture, training data, and research decisions behind our latest models.
What we’ll cover:
-Model architecture and training approach
-Data strategy and evaluation
-What worked, what didn’t, and the tradeoffs we made along the way
-An open Q&A with the research team
We’ll walk through the research choices that have made our models increasingly difficult to distinguish from human speech in blind tests.
RSVP through the link in the comments below.
world’s fastest talker VS smallest speech-to-text API
460 words per minute, 7 words second 🤯
bring it on!
Devanshpawan retweeted
We’ve raised a $10M Series A to automate video creation for every company.
1,000+ organizations like Atlassian, GitLab, Samsara, Legrand, and Zendesk use @clueso to automate their videos for marketing, customer education, and employee training.
The struggle of video creation in companies is so real, that Netflix made a documentary about it
Devanshpawan retweeted
Pulse ranks #1 for speaker diarization among speech-to-text models on the @voicearena_ai Diarization Bench.
Pulse scores a 24.35% diarization error rate (DER) at a 0 ms collar, the lowest of any speech-to-text model on the board.
The benchmark covers 139 far-field conversations, nearly 22 hours of audio, and 280+ speakers.
See the full results in the first reply.
