voice-conversion | an tutorial implement of voice conversion using pytorch | Speech library
kandi X-RAY | voice-conversion Summary
kandi X-RAY | voice-conversion Summary
an tutorial implement of voice conversion using pytorch
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Top functions reviewed by kandi - BETA
- Main function .
- Evaluate a single utterance matrix .
- Collate a batch of features .
- Parse arguments .
- Process the utterance .
- Preprocess matrices .
- Build utterance from given directory .
- Forward computation .
- Initialize the data set
- Collect the features from a file .
voice-conversion Key Features
voice-conversion Examples and Code Snippets
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Trending Discussions on voice-conversion
QUESTION
I am new to Machine Learning, but I have basic knowledge in programming.
I have just completed fast.ai course and I know how to use Google Colab.
But I still have no idea on how to get this project work on Colab.
I have just created a new notebook, and set up the environment,
I run
...ANSWER
Answered 2019-Jun-02 at 16:47Based on the Requirements in GitHub you should install and import following libraries not only Keras (actually it hasn;t mentioned you need Keras! it's mentioned Tensorflow clearly nevertheless you can use Keras if you modify the codes):
- Tensorflow >= 1.1
- Numpy >= 1.11.1
- Librosa == 0.5.1
You can follow these videos tp learn how you install libraries in colab less than 2 mins:
Install TensorFlow 2.0 with GPU in Google CoLab
Getting Started with TensorFlow in Google Colaboratory (Coding TensorFlow)
QUESTION
I am trying to get a github repository to work on my pc. This repository is based on tensorflow-gpu. Currently, when I try to run the code, I get the following error:
...ANSWER
Answered 2018-Dec-28 at 17:06protobuf seems to be a conda package. Try installing it with
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install voice-conversion
You can use voice-conversion like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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