#Ispeech asr sdk install
#Ispeech asr sdk software

On Windows, install PyAudio using Pip: execute pip install pyaudio in a terminal.

The installation instructions on the PyAudio website are quite good - for convenience, they are summarized below: If not installed, everything in the library will still work, except attempting to instantiate a Microphone object will raise an AttributeError. PyAudio version 0.2.11+ is required, as earlier versions have known memory management bugs when recording from microphones in certain situations. PyAudio is required if and only if you want to use microphone input ( Microphone).

#Ispeech asr sdk software

The first software requirement is Python 2.6, 2.7, or Python 3.3+. The following sections go over the details of each requirement. If using CMU Sphinx, you may want to install additional language packs to support languages like International French or Mandarin Chinese. On Python 2, and only on Python 2, some functions (like recognizer_instance.recognize_bing) will run slower if you do not have Monotonic for Python 2 installed. The following requirements are optional, but can improve or extend functionality in some situations: 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: 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) Library for performing speech recognition, with support for several engines and APIs, online and offline.