dscripka

Model performance varies significantly depending on wakeword temporal separation in audio

2

I'm noticing an odd issue when attempting to benchmark the performance of Porcupine models against audio files with different characteristics (background noise, SNR, etc.). Specifically, there seems to be significant...

Model predictions vary significantly depending on position of wakeword in audio

4

**Describe the bug** When using the Python bindings for Precise, I've noticed that the model predictions can vary substantially depending on where in the input audio the wake word is...

Add support for quantization and custom audio context size to OpenVino

3

Compiling with [OpenVino](https://github.com/ggerganov/whisper.cpp?tab=readme-ov-file#openvino-support) on supported platforms can significantly improve performance, but currently it lacks two other features that can also significantly improve performance: - Using quantized models (10%+ performance increase)...