PyAnnote has useful tools to visualize RTTM files:
https://github.com/juanmc2005/rttm-viewer/blob/main/view_rttm.py
#ai #speech
https://github.com/juanmc2005/rttm-viewer/blob/main/view_rttm.py
#ai #speech
https://github.com/egorsmkv/marblenet-inference
Published the inference code to do Voice Activity Detection using MarbleNet from NeMo
#ai #speech
Published the inference code to do Voice Activity Detection using MarbleNet from NeMo
#ai #speech
GitHub
GitHub - egorsmkv/marblenet-inference: Inference code for Frame MarbleNet (VAD from NeMo)
Inference code for Frame MarbleNet (VAD from NeMo) - egorsmkv/marblenet-inference
Forwarded from Feed-Master
Tested https://github.com/Rikorose/DeepFilterNet out on my Macbook, it's simple to run by your own
#ai #speech_enhancement
#ai #speech_enhancement
GitHub
GitHub - Rikorose/DeepFilterNet: Noise supression using deep filtering
Noise supression using deep filtering. Contribute to Rikorose/DeepFilterNet development by creating an account on GitHub.
doing something
Tested https://github.com/Rikorose/DeepFilterNet out on my Macbook, it's simple to run by your own #ai #speech_enhancement
./deep-filter -m DeepFilterNet/models/DeepFilterNet3_onnx.tar.gz --pf -vvvv -o denoise-results audio_file.wav
doing something
./deep-filter -m DeepFilterNet/models/DeepFilterNet3_onnx.tar.gz --pf -vvvv -o denoise-results audio_file.wav
A simple spectrogram how it looks like before-and-after denoizing
Forwarded from Vol
Forwarded from Feed-Master
Casey Primozic's Blog
Optimizing Advent of Code D9P2 with High-Performance Rust
A detailed summary of the techniques I used to optimize my Advent of Code 2024 solution for Day 9 Part 2. Employs a variety of techniques including algorithmic shortcuts, bespoke data structures, and low-level optimizations + SIMD.