Question

What is the mechanism to apply speech recognition algorithm on python !

For example if i want the system to configure when a person says "help" word , then it will do some reaction ! For example the LED will turn ON

Answer 1

Speech recognition engine/API

CMU Sphinx (works disconnected)

Google Discourse Acknowledgment

Google Cloud Discourse Programming interface

Wit.ai

Microsoft Bing Voice Acknowledgment

Houndify Programming interface

IBM Discourse to Content

Quickstart: pip introduce SpeechRecognition. See the "Introducing" segment for more subtle elements.

To rapidly give it a shot, run python - m speech_recognition in the wake of introducing.

Quickstart: pip introduce SpeechRecognition. See the "Introducing" segment for more subtle elements.

To rapidly give it a shot, run python - m speech_recognition in the wake of introducing.

Extend joins:

PyPI

Source code

Issue tracker

Library Reference

The library reference reports each openly available question in the library. This report is additionally included under reference/library-reference.rst.

See Notes on utilizing PocketSphinx for data about introducing dialects, accumulating PocketSphinx, and building dialect packs from online assets. This record is likewise included under reference/pocketsphinx.rst.

Cases

See the cases/index in the store pull for utilization illustrations:

Perceive discourse contribution from the receiver

Decipher a sound document

Spare sound information to a sound document

Indicate broadened acknowledgment comes about

Adjust the recognizer vitality edge for encompassing commotion levels (see recognizer_instance.energy_threshold for subtle elements)

Tuning in to a receiver out of sight

Different other helpful recognizer highlights

Introducing

To start with, ensure you have every one of the necessities recorded in the "Prerequisites" area.

The least demanding approach to introduce this is utilizing pip introduce SpeechRecognition.

Something else, download the source dissemination from PyPI, and concentrate the chronicle.

In the envelope, run python setup.py introduce.

Prerequisites

To utilize the majority of the usefulness of the library, you ought to have:

Python 2.6, 2.7, or 3.3+ (required)

PyAudio 0.2.9+ (required just on the off chance that you have to utilize mouthpiece input, Amplifier)

PocketSphinx (required just on the off chance that you have to utilize the Sphinx recognizer, recognizer_instance.recognize_sphinx)

Google Programming interface Customer Library for Python (required just in the event that you have to utilize the Google Cloud Discourse Programming interface, recognizer_instance.recognize_google_cloud)

FLAC encoder (required just if the framework is not x86-based Windows/Linux/OS X)

The accompanying necessities are discretionary, yet can enhance or develop usefulness in a few circumstances:

On Python 2, and just on Python 2, a few capacities (like recognizer_instance.recognize_bing) will run slower in the event that you don't have Monotonic for Python 2 introduced.

In the case of utilizing CMU Sphinx, you might need to introduce extra dialect packs to bolster dialects like Universal French or Mandarin Chinese.

The accompanying areas go over the subtle elements of every prerequisite.

Python

The main programming prerequisite is Python 2.6, 2.7, or Python 3.3+. This is required to utilize the library.

PyAudio (for mouthpiece clients)

PyAudio is required if and just on the off chance that you need to utilize mouthpiece input (Receiver). PyAudio form 0.2.9+ is required, as prior renditions have flood issues with recording on specific machines.

If not introduced, everything in the library will in any case work, aside from endeavoring to instantiate an Amplifier question will raise an AttributeError.

The establishment directions are very great as of PyAudio v0.2.9. For comfort, they are condensed underneath:

On Windows, introduce PyAudio utilizing Pip: execute pip introduce pyaudio in a terminal.

On Debian-inferred Linux disseminations (like Ubuntu and Mint), introduce PyAudio utilizing Adept: execute sudo able get introduce python-pyaudio python3-pyaudio in a terminal.

In the event that the rendition in the vaults is excessively old, introduce the most recent discharge utilizing Pip: execute sudo well-suited get introduce portaudio19-dev python-all-dev python3-all-dev && sudo pip introduce pyaudio (supplant pip with pip3 if utilizing Python 3).

On OS X, introduce PortAudio utilizing Homebrew: blend introduce portaudio && sudo mix interface portaudio. At that point, introduce PyAudio utilizing Pip: pip introduce pyaudio.

On other POSIX-based frameworks, introduce the portaudio19-dev and python-all-dev (or python3-all-dev if utilizing Python 3) bundles (or their nearest reciprocals) utilizing a bundle chief of your decision, and after that introduce PyAudio utilizing Pip: pip introduce pyaudio (supplant pip with pip3 if utilizing Python 3).

PyAudio wheel bundles for 64-bit Python 2.7, 3.4, and 3.5 on Windows and Linux are incorporated for accommodation, under the outsider/catalog in the archive root. To introduce, basically run pip introduce wheel took after by pip introduce ./outsider/WHEEL_FILENAME (supplant pip with pip3 if utilizing Python 3) in the store root index.

PocketSphinx-Python (for Sphinx clients)

PocketSphinx-Python is required if and just on the off chance that you need to utilize the Sphinx recognizer (recognizer_instance.recognize_sphinx).

PocketSphinx-Python wheel bundles for 64-bit Python 2.7, 3.4, and 3.5 on Windows are incorporated for comfort, under the outsider/catalog. To introduce, basically run pip introduce wheel took after by pip introduce ./outsider/WHEEL_FILENAME (supplant pip with pip3 if utilizing Python 3) in the SpeechRecognition envelope.

On Linux and other POSIX frameworks, (for example, OS X), take after the guidelines under "Building PocketSphinx-Python from source" in Notes on utilizing PocketSphinx for establishment directions.

Take note of that the variants accessible in most bundle vaults are obsolete and won't work with the packaged dialect information. Utilizing the packaged wheel bundles or working from source is prescribed.

See Notes on utilizing PocketSphinx for data about introducing dialects, accumulating PocketSphinx, and building dialect packs from online assets. This record is likewise included under reference/pocketsphinx.rst.

Google Programming interface Customer Library for Python (for Google Cloud Discourse Programming interface clients)

Google Programming interface Customer Library for Python is required if and just in the event that you need to utilize the Google Cloud Discourse Programming interface (recognizer_instance.recognize_google_cloud).

If not introduced, everything in the library will at present work, with the exception of calling recognizer_instance.recognize_google_cloud will raise a RequestError.

As indicated by the official establishment directions, the prescribed approach to introduce this is utilizing Pip: execute pip introduce google-programming interface python-customer (supplant pip with pip3 if utilizing Python 3).

On the other hand, you can play out the establishment totally disconnected from the source files under the ./outsider/Source code for Google Programming interface Customer Library for Python and its conditions/catalog.

FLAC (for a few frameworks)

A FLAC encoder is required to encode the sound information to send to the Programming interface. In the event that utilizing Windows (x86 or x86-64), OS X (Intel Macintoshes just, OS X 10.6 or higher), or Linux (x86 or x86-64), this is now packaged with this library - you don't have to introduce anything.

Something else, guarantee that you have the flac summon line instrument, which is frequently accessible through the framework bundle director. For instance, this would normally be sudo able get introduce flac on Debian-subsidiaries, or blend introduce flac on OS X with Homebrew.