How to Install and Uninstall python39-SpeechRecognition Package on openSuSE Tumbleweed
Last updated: December 27,2024
1. Install "python39-SpeechRecognition" package
This tutorial shows how to install python39-SpeechRecognition on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python39-SpeechRecognition
Copied
2. Uninstall "python39-SpeechRecognition" package
Please follow the steps below to uninstall python39-SpeechRecognition on openSuSE Tumbleweed:
$
sudo zypper remove
python39-SpeechRecognition
Copied
3. Information about the python39-SpeechRecognition package on openSuSE Tumbleweed
Information for package python39-SpeechRecognition:
---------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-SpeechRecognition
Version : 3.8.1-5.7
Arch : noarch
Vendor : openSUSE
Installed Size : 217.7 KiB
Installed : No
Status : not installed
Source package : python-SpeechRecognition-3.8.1-5.7.src
Upstream URL : https://github.com/Uberi/speech_recognition#readme
Summary : Library for performing speech recognition, with support for several engines
Description :
SpeechRecognition Library for performing speech recognition, with support for several engines and APIs, online and offline.
The Speech recognition engine/API supports CMU Sphinx (works offline), Google Speech Recognition,
Google Cloud Speech API, Wit.ai, Microsoft Bing Voice Recognition, Houndify API and
IBM Speech to Text
---------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-SpeechRecognition
Version : 3.8.1-5.7
Arch : noarch
Vendor : openSUSE
Installed Size : 217.7 KiB
Installed : No
Status : not installed
Source package : python-SpeechRecognition-3.8.1-5.7.src
Upstream URL : https://github.com/Uberi/speech_recognition#readme
Summary : Library for performing speech recognition, with support for several engines
Description :
SpeechRecognition Library for performing speech recognition, with support for several engines and APIs, online and offline.
The Speech recognition engine/API supports CMU Sphinx (works offline), Google Speech Recognition,
Google Cloud Speech API, Wit.ai, Microsoft Bing Voice Recognition, Houndify API and
IBM Speech to Text