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docs: add Kanara Technology credit section to all READMEs

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akukanara
2026-05-31 17:06:44 +07:00
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@@ -163,3 +163,9 @@ To achieve low latency without output artifacts, the audio processing utilizes:
1. **Sliding Window Context Buffer:** Keeps a short historical buffer of the audio to feed the model the required context frames while minimizing output audio delay.
2. **Convolution Padding Fadeout:** 120ms of trailing silent padding is temporarily appended to input segments to avoid edge-fading anomalies inherent to RVC convolutional steps.
3. **Linear Resampling:** Low-overhead linear interpolation for quick sample rate adaptation.
---
## 🤝 Credits & Acknowledgements
* **Made with ❤️ by [Kanara Technology](https://github.com/kanaratech)**
* Powered by [ONNX Runtime](https://onnxruntime.ai/) and [Retrieval-based Voice Conversion (RVC)](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)