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KittenML releases lightweight, CPU-optimized TTS models

By PulseAugur Editorial · [1 sources] ·

KittenML has released version 0.8 of its open-source text-to-speech library, Kitten TTS. This update introduces three new models with parameter counts of 15M, 40M, and 80M, offering sizes from 25MB to 80MB. The library is designed for efficient CPU-based inference without requiring a GPU, making it suitable for edge deployments. Kitten TTS also includes features like adjustable speech speed, text preprocessing, and 8 distinct built-in voices. AI

IMPACT Provides a lightweight, CPU-optimized TTS solution for developers and edge deployments.

RANK_REASON Release of an open-source model with detailed technical specifications and performance metrics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on HN — AI startup stories →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

KittenML releases lightweight, CPU-optimized TTS models

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Release of an open-source model with detailed technical specifications and performance metrics. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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190 days old
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COVERAGE [1]

  1. HN — AI startup stories TIER_1 English(EN) · rohan_joshi ·

    Show HN: Three new Kitten TTS models – smallest less than 25MB

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