The voice layer for agents. Real-time, accurate, natural voice APIs: TTS, STT, turn-taking & voice design. Devs: build → https://xitter.cf/t.co/BMTX2dOALw

Joined September 2025
A new frontier for on-device speech. We're open-sourcing Phonon, a suite of TTS models under 50m parameters, setting a new standard for naturalness and accuracy across languages, with the broadest inference support to date. Phonon-31m is available under Apache 2.0. gradium.ai/phonon🧵
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Gradium retweeted
Loci now runs Phonon as the default TTS engine on mobile. Try it out today at our link in bio
A new frontier for on-device speech. We're open-sourcing Phonon, a suite of TTS models under 50m parameters, setting a new standard for naturalness and accuracy across languages, with the broadest inference support to date. Phonon-31m is available under Apache 2.0. gradium.ai/phonon🧵
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Gradium retweeted
Gradium just released Phonon, an open weights TTS model small enough for a CPU. Micdrop now runs it inside your Node voice agent, with no API key, no GPU and no audio leaving the machine. First words in under 100 ms. Five languages, 102 voices 👇 micdrop.dev/docs/ai-integrat…
A new frontier for on-device speech. We're open-sourcing Phonon, a suite of TTS models under 50m parameters, setting a new standard for naturalness and accuracy across languages, with the broadest inference support to date. Phonon-31m is available under Apache 2.0. gradium.ai/phonon🧵
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Gradium retweeted
Replying to @GradiumAI
Congrats on the launch, Gradium team! 🎉 We shipped the Micdrop integration today, so Phonon now runs inside a Node voice agent, on the CPU, with no API key. First audio in 30 to 100 ms on a single M2 core, incredible! micdrop.dev/docs/ai-integrat…
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Phonon is now the default voice in Nativ. Nativ is the free, open-source app from @Prince_Canuma and the Neywa Labs team for running AI models locally, built on MLX-Audio.
A new frontier for on-device speech. We're open-sourcing Phonon, a suite of TTS models under 50m parameters, setting a new standard for naturalness and accuracy across languages, with the broadest inference support to date. Phonon-31m is available under Apache 2.0. gradium.ai/phonon🧵
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Gradium retweeted
🤗 transformers serve now speaks 🔊 We just added an OpenAI-compatible `/v1/audio/speech` endpoint. And we couldn't have picked a better model to launch it with than Phonon, @GradiumAI brand-new on-device TTS: tiny, fast and multilingual. Run with: transformers serve gradium/phonon-40m-en
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On-device voice agents are ready to ship with Phonon and @pipecat_ai. Pipecat runs inside the IOS app and directs the conversation, deciding who speaks and when. Phonon 31m gives each character its own voice and drives the lip sync on their animated faces. github.com/pipecat-ai/ios-li…
A new frontier for on-device speech. We're open-sourcing Phonon, a suite of TTS models under 50m parameters, setting a new standard for naturalness and accuracy across languages, with the broadest inference support to date. Phonon-31m is available under Apache 2.0. gradium.ai/phonon🧵
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I told you it was not finished! Banger release from the goated french speech team, aka @GradiumAI day0 transformers 🤗 support, have fun building with it!
A new frontier for on-device speech. We're open-sourcing Phonon, a suite of TTS models under 50m parameters, setting a new standard for naturalness and accuracy across languages, with the broadest inference support to date. Phonon-31m is available under Apache 2.0. gradium.ai/phonon🧵
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Yesterday we open-sourced Phonon, and today we’re at NVIDIA GTC Berlin. Phonon’s inference stack includes an NVIDIA CUDA backend, so it runs on professional and gaming GPUs and on embedded hardware with Jetson. Today we’re announcing it with @nvidia: gradium.ai/blog/gradium-rele…
A new frontier for on-device speech. We're open-sourcing Phonon, a suite of TTS models under 50m parameters, setting a new standard for naturalness and accuracy across languages, with the broadest inference support to date. Phonon-31m is available under Apache 2.0. gradium.ai/phonon🧵
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And if you want to scale even smaller than Phonon, @Manu__Orsini leads the way towards building the smallest possible TTS models that stay accurate and natural.
Pocket TTS has been getting updates those last few days. While it was ~100M parameters, we release smaller versions, down to 1.9M: an 18.2M model with the quality of the original, a 6.9M model, and a 1.9M model that runs 103x faster than real time on one CPU core. All with voice cloning.
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@appningbyforvia is a design partner using Phonon in joint R&D in an automotive context. @FORVIA
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@autonomous_labs is a hardware partner using Phonon to give their personal open-source OS robot a voice generated on the robot itself. @dee_hw
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This is the beginning of a new open-source arc for us, stay tuned for the next release!
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