Tagged "text-to-speech"
7 articles tagged text-to-speech, 20 February 2026 to 4 April 2026. Newest first.
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Kokoro TTS Achieves 20× Realtime Speed on CPU-Only On-Device Inference
A developer has successfully deployed Kokoro text-to-speech with 20× realtime performance using only CPU inference via MLX Swift on iOS, enabling high-quality, low-latency speech synthesis entirely on-device.
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A Journey to a Reliable and Enjoyable Locally Hosted Voice Assistant
An in-depth guide documenting the development and deployment of a fully local voice assistant, covering the complete stack from speech recognition to language understanding and synthesis without cloud dependencies.
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Mistral AI Releases Voxtral: Open-Source TTS Model Beating ElevenLabs on Local Hardware
Mistral AI released Voxtral, a 3-4B parameter text-to-speech model with open weights that outperforms ElevenLabs Flash v2.5 in human preference tests. The model runs efficiently on ~3GB RAM with 90ms time-to-first-audio latency and supports nine languages, making it ideal for on-device deployment.
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Open-Source AI Text-to-Speech Models You Can Run Locally for Natural Voice
A comprehensive guide to open-source TTS models that can be deployed locally, enabling natural voice synthesis without cloud dependencies or API costs.
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Fish Audio Open-Sources S2: Expressive Text-to-Speech with Natural Language Control and 100ms Latency
Fish Audio released S2, an open-source TTS model supporting 80+ languages, multi-speaker dialogue generation in a single pass, and natural language emotion tags for precise voice control, with sub-100ms time-to-first-audio.
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Qwen3's Voice Embeddings Enable Local Voice Cloning and Mathematical Voice Manipulation
Qwen3's text-to-speech system uses 1024-dimensional voice embeddings (2048 for 1.7B models) that enable efficient local voice cloning and novel voice manipulation through mathematical operations on embedding vectors.
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Kitten TTS V0.8 Released: New State-of-the-Art Super-Tiny TTS Model Under 25 MB
Kitten ML has released three new open-source expressive TTS models (80M, 40M, 14M parameters) under Apache 2.0 license, with the smallest model weighing less than 25 MB. This breakthrough enables high-quality speech synthesis on severely resource-constrained devices and edge deployments.