emotion_tts

by hash2430 Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | emotion_tts Summary

emotion_tts is a Python library. emotion_tts has no bugs, it has no vulnerabilities, it has build file available and it has low support. However emotion_tts has a Non-SPDX License. You can download it from GitHub.

emotion_tts

Support

Quality

Security

License

Reuse

Support

emotion_tts has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

emotion_tts has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of emotion_tts is current.

Quality

emotion_tts has no bugs reported.

Security

emotion_tts has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

emotion_tts has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

emotion_tts 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed emotion_tts and discovered the below as its top functions. This is intended to give you an instant insight into emotion_tts implemented functionality, and help decide if they suit your requirements.

Train TensorFlow model
Step the optimizer
Flattens a list of tensors
Unflatten a list of tensors
Parses a single batch
Apply the gradients to each module
Convert text to a sequence
Convert a sequence of symbols to text
Helper function to clean text
Convert text to sequence
Plots the predicted speaker
Embed inference
Process speaker files
Expand the acronym
Tokenize the text
Compute the attention context
Perform a forward pass of the forward computation
Parse a single batch
Convert jamo text to Korean
Modify phoneme script to create a new one
Generate a signal with a gritt signal
Process a training example
Perform a step of the optimizer
Builds speakers from a directory
Integrate training dataset
Forward computation
Performs inference
Extract data from MusicML

Get all kandi verified functions for this library.

emotion_tts Key Features

No Key Features are available at this moment for emotion_tts.

emotion_tts Examples and Code Snippets

No Code Snippets are available at this moment for emotion_tts.

Community Discussions

No Community Discussions are available at this moment for emotion_tts.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install emotion_tts

You can download it from GitHub.
You can use emotion_tts 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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