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text-to-speechClear
owensong/Inflect-Micro-v2 Β· Hugging Face
text-to-speechspeech-synthesishugging-faceai-models
Tool

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

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.

huggingface.co

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

11 min

7/26/2026

Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro

Kokoro enables high-quality text-to-speech (TTS) generation locally on a CPU without compromising privacy. The system operates on a machine with a GTX 1080 Ti, utilizing the GPU solely for local LLM inference.

ariya.io

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

7/7/2026

The state of modern AI text to speech systems for screen reader users

Modern AI text-to-speech systems for screen reader users have not significantly evolved in the past 30 years. The requirements for blind users differ greatly from those of sighted users, leading to a lack of advancements in the voices available for screen readers.

stuff.interfree.ca

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

1/23/2026

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

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.

huggingface.co

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

11 min

7/26/2026

The state of modern AI text to speech systems for screen reader users

Modern AI text-to-speech systems for screen reader users have not significantly evolved in the past 30 years. The requirements for blind users differ greatly from those of sighted users, leading to a lack of advancements in the voices available for screen readers.

stuff.interfree.ca

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

1/23/2026

Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro

Kokoro enables high-quality text-to-speech (TTS) generation locally on a CPU without compromising privacy. The system operates on a machine with a GTX 1080 Ti, utilizing the GPU solely for local LLM inference.

ariya.io

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

7/7/2026

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

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.

huggingface.co

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

11 min

7/26/2026

Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro

Kokoro enables high-quality text-to-speech (TTS) generation locally on a CPU without compromising privacy. The system operates on a machine with a GTX 1080 Ti, utilizing the GPU solely for local LLM inference.

ariya.io

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

7/7/2026

The state of modern AI text to speech systems for screen reader users

Modern AI text-to-speech systems for screen reader users have not significantly evolved in the past 30 years. The requirements for blind users differ greatly from those of sighted users, leading to a lack of advancements in the voices available for screen readers.

stuff.interfree.ca

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

8 min

1/23/2026

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