Aws Speech Recognition

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Released:

A clean interface to Windows speech recognition and text-to-speech capabilities.

Amazon Transcribe: Automatic Speech Recognition. AWS Deep Learning AMIs: Quickly Start Deep Learning on EC2. AWS Deep Learning Containers: Docker images for deep learning. If you use Windows Vista, you’ll need to say “start listening” if Speech Recognition is not awake. In addition to easyinstalling speech.py, you’ll need pywin32 ( for Python 2.5 or for Python 2.4 ); and if you’re on XP, you’ll need the Microsoft Speech kit (installer here ). Amazon Rekognition’s Celebrity Recognition is a deep learning based easy-to-use API for detection and recognition of individuals who are famous, noteworthy, or prominent in their field. The RecognizeCelebrities API has been built to operate at scale and recognize celebrities across a number of categories, such as politics, sports, business. Howard University 2400 Sixth Street NW, Washington, D.C. Email [email protected] Phone 202.806.6100.

Project description

Allows your Windows python program to:
  • get the text spoken by the user when prompted (a la raw_input())
  • execute a callback when certain phrases are heard
  • execute a callback when any understandable text is heard
  • have different callbacks for different groups of phrases
  • convert text to speech.

Example

Showing speaking out loud, a simple input, and listening for allrecognizable words.

Requirements

Requires Windows XP or Vista, and Python 2.4 or 2.5. If you useWindows Vista, you’ll need to say “start listening” if SpeechRecognition is not awake.

In addition to easy_installing speech.py, you’ll need pywin32(for Python 2.5 orfor Python 2.4); and if you’re on XP,you’ll need the Microsoft Speech kit (installerhere).

Resources

Aws Speech Recognition Tutorial

Aws Speech Recognition
  • Homepage: http://pyspeech.googlecode.com/
  • Source:
    • Browse at http://code.google.com/p/pyspeech/source/browse/trunk/
    • Get with svn co http://pyspeech.googlecode.com/svn/trunk/pyspeech-read-only

Please let me know if you like or use this module - it would makemy day!

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0.5.2

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0.2.0

0.1.9

0.1.8

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0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1

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