diffwave | quality neural vocoder and waveform synthesizer | Speech library

 by   lmnt-com Python Version: Current License: Apache-2.0

kandi X-RAY | diffwave Summary

kandi X-RAY | diffwave Summary

diffwave is a Python library typically used in Artificial Intelligence, Speech, Pytorch applications. diffwave has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer. It starts with Gaussian noise and converts it into speech via iterative refinement. The speech can be controlled by providing a conditioning signal (e.g. log-scaled Mel spectrogram). The model and architecture details are described in DiffWave: A Versatile Diffusion Model for Audio Synthesis.
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              diffwave has a low active ecosystem.
              It has 593 star(s) with 79 fork(s). There are 22 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 8 open issues and 35 have been closed. On average issues are closed in 68 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of diffwave is current.

            kandi-Quality Quality

              diffwave has 0 bugs and 0 code smells.

            kandi-Security Security

              diffwave has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              diffwave code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              diffwave 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.

            kandi-Reuse Reuse

              diffwave releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              diffwave saves you 195 person hours of effort in developing the same functionality from scratch.
              It has 610 lines of code, 43 functions and 9 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed diffwave and discovered the below as its top functions. This is intended to give you an instant insight into diffwave implemented functionality, and help decide if they suit your requirements.
            • Train distributed distributed model
            • Train the model
            • Load data from path
            • Get the state of the optimizer
            • Load data from a GTZAN dataset
            • Save model to checkpoint
            • Writes a summary for training
            • Implements the DiffWave learner
            • Recursively flatten nested structure
            • Restore model from checkpoint file
            • Predict the model for the given spectrogram
            • Overrides attributes
            • Loads a state dictionary
            • Compute the diffusion operator
            • Compute the lp embedding of t
            • Return free port
            Get all kandi verified functions for this library.

            diffwave Key Features

            No Key Features are available at this moment for diffwave.

            diffwave Examples and Code Snippets

            No Code Snippets are available at this moment for diffwave.

            Community Discussions

            QUESTION

            Reading through list in Python to compare difference between values in list in loop
            Asked 2022-Mar-10 at 05:01

            I have a simple csv file like this:

            wavelength exposure 550 2 560 3 570 10 580 2 590 5 600 6

            I am trying to do a simple calculation between each item in the wavelength column and then eventually time.sleep for the related exposure time. The if loop for idx==0 seems to work well. But I cannot figure out how to better write the idx > 0: part. The calculation doesn't work well for the second items in the column. I can't figure out how to update the starting wavelength and subract it from the next item in the list. I want it to do 550-631.26 update currentwave to 550 then do 560-550 but in a loop so it automatically does 570-560 and so on

            ...

            ANSWER

            Answered 2022-Mar-10 at 05:01

            You place a list object into the variable currentwave in the last line of your code currentwave = [idx-1] which produces an error the next time you subtract the variable with a number. Quick fix is you replace that line with currentwave = wl.

            Actually, after looking at your code, you don't really need to break the loop down into idx==0 and idx >0, instead,

            Source https://stackoverflow.com/questions/71417428

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install diffwave

            You can download it from GitHub.
            You can use diffwave 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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/lmnt-com/diffwave.git

          • CLI

            gh repo clone lmnt-com/diffwave

          • sshUrl

            git@github.com:lmnt-com/diffwave.git

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