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Inflect-Micro-v2: complete voice in 9.36M parameters

owensong/Inflect-Micro-v2 · Hugging Face

huggingface.co

July 26, 2026

11 min read

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46/100

Summary

Inflect-Micro-v2 is a text-to-speech synthesis model with under 10 million parameters, offering fixed-voice English TTS, deterministic seeds, long-text handling, and support for CPU or CUDA inference. The developer aims to expand the project to include additional languages, voices, and stability improvements if it gains traction.

Key Takeaways

Inflect-Micro-v2 is a text-to-speech model that synthesizes speech with under 10 million parameters and offers long-text handling with deterministic outputs.
The model achieved a 66.2% preference rate in a community study, indicating a favorable reception compared to other TTS systems.
Inflect-Micro-v2 reports a UTMOS22 score of 4.395, reflecting its predicted naturalness while maintaining a compact footprint of 37.53 MB.
The model demonstrates low word error rates (2.52% for Qwen3-ASR and 5.45% for Nemotron 3.5), indicating high intelligibility on unseen text.

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