speaker-id | repository contains audio samples | Speech library

by google Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | speaker-id Summary

speaker-id is a Python library typically used in Artificial Intelligence, Speech, Deep Learning, Pytorch applications. speaker-id has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install speaker-id' or download it from GitHub, PyPI.

This repository contains audio samples and supplementary materials accompanying publications related to the speaker-id team at Google.

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Quality

Security

License

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Support

speaker-id has a low active ecosystem.

It has 205 star(s) with 32 fork(s). There are 21 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of speaker-id is current.

Quality

speaker-id has no bugs reported.

Security

speaker-id has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

speaker-id 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

speaker-id releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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speaker-id Key Features

No Key Features are available at this moment for speaker-id.

speaker-id Examples and Code Snippets

No Code Snippets are available at this moment for speaker-id.

Community Discussions

Trending Discussions on speaker-id

'str' object is not callable for os.path.sep()

How to retrieve original TensorFlow frozen graph from .tflite?

QUESTION

'str' object is not callable for os.path.sep()

Asked 2021-Jan-29 at 03:39

import os

def ls_component(path):
    ls = os.path.sep(path)
    print(ls)
    return ls

ls_component('D:\SDP\speaker-identification-master\data\eval')

...

ANSWER

Answered 2021-Jan-29 at 03:39

os.path.sep is a string constant not a function. It returns the path separator (eg. \) used by the underlying OS. So doing os.path.sep() is like doing "\"() which is why you get the error that str is not callable

If you want to split the path into its components use os.path.split()

Source https://stackoverflow.com/questions/65948446

QUESTION

How to retrieve original TensorFlow frozen graph from .tflite?

Asked 2018-Jan-06 at 20:15

Basically I am trying to use google's pre trained Speaker-id model for speaker detection. But this being a TensorFlow Lite model, I can't use it on my Linux pc. For that, I am trying to find a converter back to its frozen graph model. Any help on this converter or any direct way to use tensorflow Lite pretrained models on desktop itself, will be appreciated.

...

ANSWER

Answered 2018-Jan-06 at 20:15

You can use the converter which generates tflite models to convert it back to a .pb file if that is what you're searching for.

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md

Source https://stackoverflow.com/questions/48081498

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

Vulnerabilities

No vulnerabilities reported

Install speaker-id

You can install using 'pip install speaker-id' or download it from GitHub, PyPI.
You can use speaker-id 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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