pyannote-audio | Neural building blocks for speaker diarization | Speech library

by pyannote Jupyter Notebook Version: 2.1.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pyannote-audio Summary

pyannote-audio is a Jupyter Notebook library typically used in Artificial Intelligence, Speech, Deep Learning, Pytorch applications. pyannote-audio has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

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pyannote-audio has a medium active ecosystem.

It has 3116 star(s) with 502 fork(s). There are 56 watchers for this library.

It had no major release in the last 12 months.

There are 89 open issues and 719 have been closed. On average issues are closed in 104 days. There are 12 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyannote-audio is 2.1.1

Quality

pyannote-audio has 0 bugs and 0 code smells.

Security

pyannote-audio has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyannote-audio code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyannote-audio is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pyannote-audio releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

pyannote-audio saves you 4572 person hours of effort in developing the same functionality from scratch.

It has 9664 lines of code, 552 functions and 96 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Preview an audio file .
Creates a sliding window feature .
Performs training step .
Crop the given audio segment .
Create an Introspection from a model .
Instantiates a trained model .
Generate review report .
Performs training step .
Decorator for probes .
Create a pipeline from pretrained pretrained .

Get all kandi verified functions for this library.

pyannote-audio Key Features

No Key Features are available at this moment for pyannote-audio.

pyannote-audio Examples and Code Snippets

No Code Snippets are available at this moment for pyannote-audio.

Community Discussions

Trending Discussions on pyannote-audio

ParameterError: Mono data must have shape (samples,). Received shape=(1, 87488721)

QUESTION

ParameterError: Mono data must have shape (samples,). Received shape=(1, 87488721)

Asked 2020-Jul-29 at 00:48

Currently I am working speaker Diarization on python where I am using pyannote for embedding. My embedding function looks like this:

...

ANSWER

Answered 2020-Jul-29 at 00:48

I got the same error too, but i have found a workaround. For me, the error got triggered in "pyannote/audio/features/utils.py", when it is trying to resample the audio using this line y = librosa.core.resample(y.T, sample_rate, self.sample_rate).T

This is my workaround

Source https://stackoverflow.com/questions/63128049

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

Vulnerabilities

No vulnerabilities reported

Install pyannote-audio

Only Python 3.8+ is officially supported (though it might work with Python 3.7).

Support

Models Available tasks explained Applying a pretrained model Training, fine-tuning, and transfer learningPipelines Available pipelines explained Applying a pretrained pipeline Training a pipelineContributing Adding a new model Adding a new task Adding a new pipeline Sharing pretrained models and pipelinesMiscellaneous Training with pyannote-audio-train command line tool Annotating your own data with Prodigy Speaker verification Visualization and debugging

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