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-1.0.9.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4dda63bd568a05c66929c75a64301f3df95ba0184b6474307089bb085647c1c2 |
|
MD5 | 5f526bb9898b22adc8a8b18211825434 |
|
BLAKE2b-256 | 350745f8b2648e520e50133659a20e82e465010be23f1510eb168aea5e47fbc0 |
Close
Hashes for speech_gender_statistics-1.0.9-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6320191e632d204d8b75dbb0b49e542742f67819a7690de4dc642ffb02757e74 |
|
MD5 | d1ed09c9c73dcec1fd53c68a2956c7dc |
|
BLAKE2b-256 | 37aac8c9a51d56cd96c77bb12c794be586ed66ab6db70ef7cb9b12e8a188ca07 |