silero-vad | Silero VAD : pre-trained enterprise
kandi X-RAY | silero-vad Summary
kandi X-RAY | silero-vad Summary
silero-vad is a Python library. silero-vad has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However silero-vad build file is not available. You can download it from GitHub.
Silero VAD - pre-trained enterprise-grade Voice Activity Detector (also see our STT models). This repository also includes Number Detector and Language classifier models.
Silero VAD - pre-trained enterprise-grade Voice Activity Detector (also see our STT models). This repository also includes Number Detector and Language classifier models.
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silero-vad has a medium active ecosystem.
It has 1588 star(s) with 213 fork(s). There are 33 watchers for this library.
It had no major release in the last 12 months.
There are 6 open issues and 133 have been closed. On average issues are closed in 33 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of silero-vad is v4.0
Quality
silero-vad has no bugs reported.
Security
silero-vad has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
silero-vad is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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silero-vad releases are available to install and integrate.
silero-vad has no build file. You will be need to create the build yourself to 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 silero-vad and discovered the below as its top functions. This is intended to give you an instant insight into silero-vad implemented functionality, and help decide if they suit your requirements.
- Collect audio data from the VAD
- A generator that yields data from the stream
- Read data from the buffer
- Calculate timestamps from audio
- Plots the visualization of probabilities
- Convert an integer to float32
Get all kandi verified functions for this library.
silero-vad Key Features
No Key Features are available at this moment for silero-vad.
silero-vad Examples and Code Snippets
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Vad vad = new Vad(VadConfig.newBuilder()
.setSampleRate(VadConfig.SampleRate.SAMPLE_RATE_16K)
.setFrameSize(VadConfig.FrameSize.FRAME_SIZE_480)
.setMode(VadConfig.Mode.VERY_AGGRESSIVE)
Copy
*Note*: probably incomplete.
* Python 2.7
* for TTS one or more of:
- MaryTTS, py-marytts
- espeak-ng, py-espeak-ng
- SVOX Pico TTS, py-picotts
* for ASR one or more of:
- kaldi-asr 5.1, py-kaldi-asr
- pocketsphinx
* sequitur
* pulseaudi
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// MULTI = 1 2 3 webrtc vad可以设置分别为以10ms 20ms 30ms作为包
#define MULTI 1
// VAD 模式 Aggressiveness mode (0, 1, 2, or 3). 数值越大,判断越是粗略,连着的静音或者响声增多
#define WEBRTC_VAD_MODE 3
// 有声音的音频段,xxx 毫秒后,认为该音频段结束,不能为0
#define FILE_CUT_SILENCE_AFTER_ACTIVE_MS 500
//
Community Discussions
No Community Discussions are available at this moment for silero-vad.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install silero-vad
You can download it from GitHub.
You can use silero-vad 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.
You can use silero-vad 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.
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Examples and DependenciesQuality MetricsPerformance MetricsNumber Detector and Language classifier modelsVersions and Available Models
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