Gradium has open-sourced Phonon, a family of small text-to-speech models built to run on the device. The Gradium Phonon on-device TTS model comes in 31M and 40M sizes. The English Phonon 31m ships under Apache 2.0 and fits in a 64.5 MB file. Developers get natural speech with no cloud call, no GPU and no per-character bill.
TL;DR
- Size: 31M parameters (excluding the audio tokenizer), 64.5 MB q8 GGUF, 24 kHz mono output. Phonon 40m: 40M, 74.6 MB.
- Runs on: CPUs, phones, Raspberry Pi 5, browsers (WASM, WebGPU) and NVIDIA GPUs. No GPU required.
- Performance: top English Elo among open models Gradium tested; about 7 ms to first audio on CPU.
- Best: 1.70% WER on a 500-sentence hard set, versus 3.50% for Kokoro (Gradium’s eval).
- Worst: 0.51% Seed-TTS LLM WER, behind Kokoro (0.45%) and Magpie (0.46%).
What is Gradium Phonon?
Phonon is an open-weight TTS family from Gradium, a Paris voice AI company spun out of Kyutai. It generates speech locally on phones, laptops, boards and browsers.
The family has three models:
- Phonon 31m: English only, 37 built-in voices, Apache 2.0.
- Phonon 40m: 1 model per language (English, French, German, Spanish, Portuguese), CC BY-NC 4.0.
- Phonon 40m multilingual: all 5 languages in 1 model, 102 voices, CC BY-NC 4.0.
How does Phonon work?
Phonon uses a causal transformer backbone. Its prefix combines text and speaker embeddings. A SentencePiece tokenizer with a 4,000-token vocabulary reads raw text, with no phoneme conversion.
The backbone generates 1 latent vector per 80 ms frame. A flow-matching head turns that vector plus noise into an audio embedding in a single step. A smaller variant of Kyutai’s Mimi decoder then outputs 24 kHz PCM audio. A separate end-of-speech head decides when to stop.
Phonon 31m uses 6 transformer layers, width 512 and 8 attention heads. Phonon 40m uses 9 layers at the same width. Both are distilled from a larger Phonon teacher. Training ran on an NVIDIA H100 cluster with NCCL and CUDA Graphs.
The work builds on Kyutai’s Continuous Audio Language Models research and Pocket TTS.
