ddsp | DDSP : Differentiable Digital Signal Processing | Audio Utils library
kandi X-RAY | ddsp Summary
kandi X-RAY | ddsp Summary
ddsp is a Python library typically used in Audio, Audio Utils applications. ddsp has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install ddsp' or download it from GitHub, PyPI.
DDSP: Differentiable Digital Signal Processing
DDSP: Differentiable Digital Signal Processing
Support
Quality
Security
License
Reuse
Support
ddsp has a medium active ecosystem.
It has 2479 star(s) with 297 fork(s). There are 64 watchers for this library.
It had no major release in the last 12 months.
There are 34 open issues and 118 have been closed. On average issues are closed in 73 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of ddsp is 3.7.0
Quality
ddsp has 0 bugs and 0 code smells.
Security
ddsp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
ddsp code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
ddsp is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
ddsp releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
ddsp saves you 2744 person hours of effort in developing the same functionality from scratch.
It has 9401 lines of code, 753 functions and 70 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed ddsp and discovered the below as its top functions. This is intended to give you an instant insight into ddsp implemented functionality, and help decide if they suit your requirements.
- Post - encode features
- Update the _losses_dict
- Add ZPitch losses to the model
- Adds closeness loss
- Generate a sequence of the notes v2
- Generate a random harmonic distance
- Generate a random blend
- Train the model
- Write gin config to file
- Get the metadata for the autoencoder
- Creates a stream of harmonic harmonic coefficients
- Generate notes
- Compute critical frequencies for a frequency domain
- Summarize a pianoroll
- Calculate a boolean mask for notes
- Computes the wavetables
- Evaluate a model
- Converts sinusoidal weights to harmonic weights
- Compute the sigmoid
- Record audio
- Compute statistics for a dataset
- Get input
- Plots the midiae phase summary
- Compute loudness
- Calculate harmonic coefficients
- Call the encoder
Get all kandi verified functions for this library.
ddsp Key Features
No Key Features are available at this moment for ddsp.
ddsp Examples and Code Snippets
Copy
!gsutil cp -r gs://ddsp/models/ .
├── models
│ ├── solo_flute_ckpt
| | ├── model.ckpt-2400.data-00000-of-00001
| | ├── model.ckpt-2400.index
| | ├── model.ckpt-2400.meta
| │ └── operative_config-0.gin
│ ├── solo_flute2_ckpt
| │
Copy
git clone https://github.com/sweetcocoa/ddsp-pytorch
# example
ffmpeg -y -loglevel fatal -i $input_file -ac 1 -ar 16000 $output_file
# example
crepe directory-to-audio/ --output directory-to-audio/f0_0.004/ --viterbi --step-size 4
config = setup(
Copy
@inproceedings{
renault2022diffpiano,
title={Differentiable Piano Model for MIDI-to-Audio Performance Synthesis},
author={Lenny Renault and Rémi Mignot and Axel Roebel},
booktitle={International Conference on Digital Audio Effects}
year={20
Community Discussions
Trending Discussions on ddsp
QUESTION
What is the full form of 'ddspth' in oracle sql?
Asked 2020-Feb-27 at 08:47
Can anyone explain the full form of "ddsp" in oracle sql command?
...ANSWER
Answered 2020-Feb-27 at 08:47It is a spelled number.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ddsp
First, follow the steps in the Installation section to install the DDSP package and its dependencies. DDSP modules can be used to generate and manipulate audio from neural network outputs as in this simple example:.
Requires tensorflow version >= 2.1.0, but the core library runs in either eager or graph mode.
Requires tensorflow version >= 2.1.0, but the core library runs in either eager or graph mode.
Support
Check out the blog post 💻Read the original paper 📄Listen to some examples 🔈Try out the timbre transfer demo 🎤->🎻
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page