Update release notes and contribution guidance

Author: 0xShug0

CONTRIBUTING.md

@@ -48,7 +48,7 @@ For models with Python references, include parity evidence when practical. For m
 
 Please be prepared to help maintain new model contributions as framework APIs evolve. Keeping model code aligned with the shared framework surface is part of making the implementation useful long term.
 
-## Framework Modules
+## Framework Modules (High Risk)
 
 Framework modules are a high-impact but higher-risk contribution area because the internal framework APIs are still evolving quickly. Changes here can affect many model families at once, so please prefer additive work over modifying behavior that existing models already depend on.
 

README.md

@@ -6,7 +6,12 @@ Tired of juggling a dozen Conda environments, hundreds of Python packages, and d
 
 > [!IMPORTANT]
 > **CUDA performance headline:** multiple TTS paths already run **1.8x-5.0x faster than their Python reference paths** while cutting end-to-end latency by **45%-80%**.
+>
 > **VibeVoice 1.5B:** generates a **93.9-minute podcast in 18.2 minutes** with **10 diffusion steps** and without quantization, running about **5.15x faster than real time**.
+>
+> **Supertonic 3:** generates about **10 hours of audio in 3 minutes** on RTX5090. Up to 200x+ real-time on CUDA, 6x+ real-time on CPU, and 47 ms TTFT in CUDA streaming mode.
+>
+> **Real-world ASR win:** In [TranscrIA benchmark](https://github.com/Martossien/transcria/blob/main/docs/STT_BENCHMARK_REAL_MEETINGS.md) on messy French meeting audio, audio.cpp’s Nemotron 3.5 ASR matched the same WER as other implementations while using about **1/4 of the wall time**. 
 
 It is built for real end-to-end execution rather than one-off model demos: the same runtime powers TTS, voice cloning, voice conversion, ASR, diarization, VAD, source separation, alignment, codec-style models, and higher-level workflows through a common framework surface.
 
@@ -20,6 +25,8 @@ Highlights:
 
 <p><strong><span style="font-size:1.1em;">The goal of the framework is to provide highly optimized, reusable building blocks for audio-related models, so new model integrations can be brought up faster, shared components can be improved once and benefit many families, and real end-to-end inference paths can stay efficient, maintainable, and portable.</span></strong></p>
 
+audio.cpp would not be moving this quickly without generous contributors bringing in real fixes, new capabilities, and careful polish. See [CONTRIBUTING.md](CONTRIBUTING.md) for how to contribute and for a shout-out to the people already helping shape the project.
+
 > [!TIP]
 > **Contribution focus:** the most helpful contributions right now are improvements to the UI, API server, and pipeline/workflow subsystems. These areas make the existing model surface easier to use, serve, compose, and validate. See [CONTRIBUTING.md](CONTRIBUTING.md) for more details.
 >
@@ -28,7 +35,9 @@ Highlights:
 ## News
 
 > [!IMPORTANT]
-> **2026-07-13:** Five TTS families join the released framework surface: IndexTTS2, Irodori-TTS, MOSS-TTS-Nano, MOSS-TTS-Local, and Supertonic 3. These add expressive Chinese/English TTS, Japanese no-reference/reference/voice-design speech, MOSS local-transformer and nano paths, and very fast preset-voice Supertonic generation.
+> **2026-07-14 - Release 0.3:** This release expands audio.cpp with five new TTS families: IndexTTS2, Irodori-TTS, MOSS-TTS-Nano, MOSS-TTS-Local (thanks to [@justinjohn0306](https://github.com/justinjohn0306)), and Supertonic 3. Chatterbox also gains voice-conversion support, extending the existing TTS/voice-cloning path into a fuller speech workflow.
+>
+> **GGUF support:** audio.cpp now has reusable GGUF loading and conversion support, with tested GGUF paths for multiple ASR and TTS models. Some models can run up to 2× faster with Q8 GGUF, without any parity drift. See [docs/gguf.md](docs/gguf.md) for the current support status. Huge thanks to [@mirek190](https://github.com/mirek190) for driving the core GGUF work and model support forward.
 
 **2026-06-25 to 2026-07-08:** audio.cpp grew from the first released model wave into broad TTS, ASR, music generation, source separation, VAD, diarization, codec, and voice-conversion coverage, with VibeVoice 1.5B/7B, LoRA adapter loading, initial streaming support, and major CUDA Conv1DTransp speedups.
 
@@ -310,7 +319,7 @@ build/bin/audiocpp_cli \
 
 The repository also ships a model manager at `tools/model_manager.py` for downloading supported model packages into the framework expected `models/` layout.
 
-Some models also have GGUF packages available. Current GGUF repositories include [audio-cpp/audio.cpp-gguf](https://huggingface.co/audio-cpp/audio.cpp-gguf) and [mirek190/audio.cpp](https://huggingface.co/mirek190/audio.cpp). See [docs/gguf.md](docs/gguf.md) for GGUF support and conversion status. A dedicated GGUF model-management tool is under development.
+Some models also have GGUF packages available. Current GGUF repositories include [audio-cpp/audio.cpp-gguf](https://huggingface.co/audio-cpp/audio.cpp-gguf) and [mirek190/audio.cpp](https://huggingface.co/mirek190/audio.cpp). See [docs/gguf.md](docs/gguf.md) for GGUF support status. A dedicated GGUF model-management tool is under development.
 
 Dependencies:
 
@@ -512,6 +521,7 @@ The Python-reference side of these tests usually requires more time-consuming se
 
 ## Projects
 
+- [TranscrIA](https://github.com/Martossien/transcria) is a self-hosted meeting transcription platform with diarization and local LLM correction. audio.cpp is integrated as a first-class STT engine in the product.
 - [Pocket TTS Browser Engine](https://github.com/jjmlovesgit/pocket-tts-browser-engine) uses audio.cpp to bring fully local PocketTTS voices into Chrome and Edge through the browser TTS API.
 - [GuideAnts](https://github.com/Elumenotion/GuideAnts) uses audio.cpp as the default local AI stack path for basic ASR and TTS, with planned reusable skills for audio.cpp scenarios and model configurations.