# rnnoise_16k
**Repository Path**: gaoyongyu/rnnoise_16k
## Basic Information
- **Project Name**: rnnoise_16k
- **Description**: implementation of rnnoise_16k
- **Primary Language**: C
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 1
- **Created**: 2021-08-26
- **Last Updated**: 2024-05-10
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
RNNoise training for 16K audio
==============================
Notification
============
This project is refered to Dr.Jean-Marc Valin efforts from [RNNoise: Learning Noise Suppression](https://people.xiph.org/~jm/demo/rnnoise/)
References:
Paper: [A Hybrid DSP/Deep Learning Approach toReal-Time Full-Band Speech Enhancement](https://jmvalin.ca/papers/rnnoise_mmsp2018.pdf)
Original Github Repo: [RNNoise Original Project](https://github.com/xiph/rnnoise)
How to use
==========
This project is done one year ago when I started doing NS things, so codes are not well organized. If you have any questions, feel free to ask.
This can code is able to accepct a directory of __wav__ file for training rather than __raw__ file.
Following the CMakeLists.txt for compiling the projcet
The __src/denoice.c__ is the main thing on modification from __48k -> 16k__, and __training/run.sh__ is how to train in 16k audio.
you also need to check __src/compile.sh__ for compiling src directory,
Pay attention, I use __src/denoise.c__ for feature extractions. __src/denoise16.c__ is something that I did for experiments.
if you wanna use less frames or more frames for training, modify the __main__ function variable __count__ inside the __src/denoise.c__
## Replace with new trained model
if you follow the instructions and __training/run.sh__, new __rnn_data.c__ and __rnn_data.h__ which are come from your new trained model will be generated.
Replace the old __rnn_data.c__ and __rnn_data.h__ in __src__ directory with the new one, using __CMakeList.txt__ in the working directory,
* cmake .
* make
the binary file will be generated in __bin__ directory, you can also change the name of your binary inside __CMakeList.txt__
### The way to use binary file
`
Binary File