The following requirements are optional, but can improve or extend functionality in some situations: Openai (required only if you need to use Whisper API speech recognition recognizer_instance.recognize_whisper_api) Whisper (required only if you need to use Whisper recognizer_instance.recognize_whisper) Vosk (required only if you need to use Vosk API speech recognition recognizer_instance.recognize_vosk) Google API Client Library for Python (required only if you need to use the Google Cloud Speech API, recognizer_instance.recognize_google_cloud)įLAC encoder (required only if the system is not x86-based Windows/Linux/OS X) PocketSphinx (required only if you need to use the Sphinx recognizer, recognizer_instance.recognize_sphinx) PyAudio 0.2.11+ (required only if you need to use microphone input, Microphone) To use all of the functionality of the library, you should have: In the folder, run python setup.py install. Otherwise, download the source distribution from PyPI, and extract the archive. The easiest way to install this is using pip install SpeechRecognition. Listening to a microphone in the backgroundįirst, make sure you have all the requirements listed in the “Requirements” section. Recognize speech input from the microphoneĬalibrate the recognizer energy threshold for ambient noise levels (see recognizer_instance.energy_threshold for details) See the examples/ directory in the repository root for usage examples: You have to place them in models folder of your project, like “your-project-folder/models/your-vosk-model” Examples You have to install Vosk models for using Vosk. This document is also included under reference/pocketsphinx.rst. See Notes on using PocketSphinx for information about installing languages, compiling PocketSphinx, and building language packs from online resources. This document is also included under reference/library-reference.rst. The library reference documents every publicly accessible object in the library. To quickly try it out, run python -m speech_recognition after installing. See the “Installing” section for more details. Quickstart: pip install SpeechRecognition. Snowboy Hotword Detection (works offline) Microsoft Bing Voice Recognition (Deprecated)
Therefore, I’d like to put out an open invite for collaborators - just reach out at me. UPDATE : Hey everyone! This project started as a tech demo, but these days it needs more time than I have to keep up with all the PRs and issues. Library for performing speech recognition, with support for several engines and APIs, online and offline.
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