Cartesia

Exciting news! 🎉 We're thrilled to welcome Kunal Shah to our technical team! 🎉 With nearly 13 years of experience in big data engineering and MLOps infrastructure, Kunal brings a wealth of expertise to Cartesia. His impressive background includes: 1) Developing revenue data ecosystems for YouTube Music and YouTube Premium launches 2) Enhancing training and serving infrastructure at Airbnb 3) Leading data engineering and feature platforms at DoorDash - see his work on Fabricator below 👇 On joining Cartesia, Kunal says: "I'm eager to dive deeper into fundamental AI advancements. Cartesia is at the cutting edge of this pivotal space, and I'm thrilled to be part of the journey."

Huge Sonic release! 🇺🇸 New English model reduces breathiness & artifacts. 🌎 New multilingual model improves pacing, loudness & word error rate by upto 50%. 💨😡😳😁 Voice control API to precisely control speed and emotion. ⏰ Word timestamps on gen audio, use for captioning and interruption handling in voice agents. ♾️ Long generations, no more 500 character limit on the playground and API. 📁 MP3 support for non-streaming generations. 🎆 Playground refresh, check out the video below. In addition, we released our Voice Library expansion and support for continuations last Friday.

We've expanded our voice library to 50+ voices, from fun characters 🧙♂️ for your content, to a great selection spanning 🌎 global languages and regional 🇺🇸 American accents for your voice agents. Available now with Sonic with instant 135ms latency 🔥 https://play.cartesia.ai

We've shipped continuations, our most requested API feature. Sonic can now stream in text (e.g. LLM generations), and generate audio smoothly across chunks using the power of Sonic's state. This unlocks long transcript use cases, and real-time conversational voice agents! Check out our cofounder Arjun Desai using Sonic to narrate his PhD thesis (a tome about MRI scans and AI)! Docs can be found at https://lnkd.in/geYtCr6P Found a bug? Have questions? Hit us up on Discord at https://lnkd.in/gFBDW7ZZ

Thanks for the shoutout Sunny Madra Jason Calacanis!

Yesterday, we released 2 new models! 🇺🇸 Sonic English Improved pacing, voice cloning and pronunciation, same 135ms latency 🌍 Sonic Multilingual 6 new languages (German, French, Spanish, Portuguese, Chinese, Japanese) with a new multilingual voice library 🩺 And now HIPAA compliant Try out the new models on https://play.cartesia.ai/

We've overhauled the Cartesia Python client library, v1 is out! - Improved library ergonomics - Stable support for accessing WebSocket and Server-Sent Events endpoints - Access to sonic-multilingual in addition to sonic-english - Explicit access to voice methods Issues? Message us on our Discord https://lnkd.in/gFBDW7ZZ

Thanks for having us Aleksa Gordić!

We just shipped a number of API changes aimed at improving API ergonomics and ensuring the extensibility of the API surface going forward. As part of this, we're deprecating a number of API endpoints that are confusing or noncompliant with standard protocols. Deprecated endpoints will be removed after June 17. We've also removed the "Subject to Change" notice from our API docs and adopted a new versioning scheme designed to ease future transitions. Future breaking changes will come with at least 1 month of deprecation notice. Reach out to us on support [at] cartesia [dot] ai if you need assistance. Find a full list of changes and a migration guide at: https://lnkd.in/gCxjFDst

Meet the amazing interns joining our Technical Staff this summer! 🚀 🚀 Brandon Chen is a rising senior at MIT majoring in math and computer science. He previously worked at Jane Street and Pika. Sauhard Jain is a rising senior at UC Berkeley studying Computer Science & Economics. He previously researched LLM-supported interfaces at the BAIR-Google Commons. Animesh Bohara is a Machine Learning Masters student at Carnegie Mellon University. He has worked on fast and efficient serving of LLMs at scale and at Samsung Research. Ricardo Buitrago Ruiz is a Machine Learning Masters student at Carnegie Mellon University. He has worked on developing theory and methods to apply advanced Deep Learning models to problems in science and physics. Aviv Bick is a 3rd year CS PhD Student at Carnegie Mellon University and was prior a Research Engineer at Pliops. Aakash Lahoti is a Machine Learning PhD student at Carnegie Mellon University. He prior worked at Google and Meta. Shih-Lun (Sean) Wu recently graduated from Carnegie Mellon University with a Masters in Language Technologies and will be joining MIT EECS as a PhD student in Fall. He has published extensively in the field of music generation and was named a Siebel Scholar this year. We're excited to welcome them to our team and can't wait to see what they build! 👨💻 👨🔬