Speech recognition is converting spoken words to text. It supports Google Speech Engine, Cloud Speech API, Bing Voice Recognition, and IBM Speech.
As we know Python is a multipurpose language that can be used for developing various applications including web apps. Python has many libraries dedicated to speech recognition, text-to-speech conversion, and text analysis.
In this article, I have listed some of the best Python Speech Recognition libraries with their key features. In this kit, we will go through some of the best Python Speech Recognition libraries like Real-Time-Voice-Cloning - 5 seconds to generate arbitrary speech; speech_recognition - Speech recognition module for Python, supporting several engines; wav2letter - Facebook AI Research's Automatic Speech Recognition Toolkit. Find the top 18 best Python Speech Recognition libraries in 2022.
Python 7239 Version:3.10.0 License: Permissive (BSD-3-Clause)
Python 6646 Version:v1.3.0 License: Strong Copyleft (GPL-3.0)
Python 3746 Version:Current License: Permissive (Apache-2.0)
Python 2729 Version:Current License: Permissive (MIT)
Python 2787 Version:v0.2.0 License: Permissive (MIT)
Python 3375 Version:v1.8 License: Permissive (Apache-2.0)
Python 2142 Version:Current License: Others (Non-SPDX)
Python 2267 Version:Current License: No License
Python 2169 Version:v1.7.3 License: Strong Copyleft (AGPL-3.0)
Python 1730 Version:1.2 License: Permissive (Apache-2.0)