Using statistical methods to determine speech femininity/masculinity based on phonetic features
Project description
SpeechGenderAnalysis
Setup
MacOS
1. Setup Python:
python3.8 -m venv venv8
source venv8/bin/activate
pip3 install -r requirements-mac.txt
2. Configure plaidml
to use GPU:
plaidml-setup
3. Configure environment variables in the run script:
export KERAS_BACKEND="plaidml.keras.backend"
export tg_token="Your telegram token here"
Windows (CUDA)
1. Setup Python
python3.9 -m venv venv
.\venv\Scripts\activate
pip install -r requirements-win-cuda.txt
2. Install CUDA
- Install NVIDIA Drivers: https://www.nvidia.com/drivers
- Install CUDA 11.2 (for TensorFlow 2.7.0): https://developer.nvidia.com/cuda-toolkit-archive
- Download cuDNN 8.1: https://developer.nvidia.com/rdp/cudnn-archive
- Copy folders in
cudnn-11.2-windows-x64-v8.1.1.33\cuda
toC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2
- Copy folders in
- Restart IntelliJ IDEA
3. Check Device List
python -c "from tensorflow.python.client import device_lib; print(device_lib.list_local_devices())"
Arch Linux (CUDA)
Install CUDA
yay -S downgrade
sudo pacman -S tensorflow-cuda
sudo downgrade 'cuda=11.2.2' 'cudnn=8.1.1.33'
Python (3.9.11)
python -m venv venv
source ./venv/bin/activate
pip install -r requirements-win-cuda.txt
python -c "from tensorflow.python.client import device_lib; print(device_lib.list_local_devices())"
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for speech-gender-statistics-1.0.5.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2ce24daa781b3b6f4c04f76a56183e4e2f2cc752e98bded2564d5c353281e833 |
|
MD5 | 2a9a6fd638bb0c4fdf31ac13dfa8bb85 |
|
BLAKE2b-256 | 35ea80b1c66bf4920f8e7252f1d2170335a7ab904b8b067291a0622b610f3bc5 |
Close
Hashes for speech_gender_statistics-1.0.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3b4d602714d8acccf59e35e406b38dc089d682e9a70f82cdd603bf983db8986c |
|
MD5 | e73335a54005797d31172349101765a2 |
|
BLAKE2b-256 | 81c63467486d02602c75b477e32dff29605f6e51f216be99c35bdbcab910af85 |