How to setup SpeechRecognition in Orange Pi Zero using python

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How to setup SpeechRecognition in Orange Pi Zero using python

June 12, 2017 codelectron 0 Comment bing speech recogntion, Linux, Orange PI, speech, speech recognition, speech to text, sphinx

We are living in the age where Deep learning is going to through a transformation. Artificial intelligence is making its presence in every field may it be medicine or industry or media etc. It all narrows down to Machine learning where the its possible to make the machine learn it self. I wanted to do something interesting  in this topic .So i thought of making something with speech recognition. So what is speech recogntion? It  is the ability of a machine or program to identify words and phrases in spoken language and convert them to a machine-readable format. It means that when you speak, the software can recognize what you say and convert it to a textual information. For this project I planned to use Orange Pi Zero . Why Orange Pi Zero? because  The Orange Pi Zero has an Interface board which has an onboard mic and 3.5mm audio jack. This makes it easier if you compare the other Pi boards where you need an extra hardware.
Hardware
https://www.banggood.com/Orange-Pi-Zero-H2-Quad-Core-Open-source-512MB-Development-Board-p-1110210.html?p=W214159476515201703B
https://www.banggood.com/Orange-Pi-Zero-Expansion-Board-Interface-Board-Development-Board-p-1115982.html?p=W214159476515201703B
Getting started
If you are looking for how to setup orange pi then refer to the below links, skip them if you know them already.
Getting started with Orange Pi Zero
Introduction to Orange Pi Zero Interface board
How to flash new image for Orange Pi Zero board
We are going to use https://pypi.python.org/pypi/SpeechRecognition/ as our speech recognition framework. It works with both offline and online speech recognition. It supports the following engines
CMU Sphinx (works offline)
Google Speech Recognition
Google Cloud Speech API
Wit.ai
Microsoft Bing Voice Recognition
Houndify API
IBM Speech to Text
We are going to use the CMU Sphinx and Microsoft Bing Voice Recognition engine. We will install the python packages in a local path using virtualenv to keep the system python undisturbed.

Installing Pip and Virtualenv

1 2	apt-get install python-pip apt-get  install virtualenv

If you want to know about virtualenv refer to this link.

Create a new python environment

1 2	virtualenv audiopy source audiopy/bin/activate

Installing Speechrecognition

1	pip  --no-cache-dir install SpeechRecognition

The reason I am using the --no-cache-dir is explained here.

Installing PyAudio

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apt-get install python-dev apt-get install portaudio19-dev pip install PyAudio

In order to access the microphone of the Orange Pi zero, you need the PyAudio.

Installing flac for Sphinx

1	apt-get install flac

Testing the SpeechRecognition

Testing Speech recogntion

1	python -m speech_recognition

Speech recogntion using BING

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#!/usr/bin/env python3   # NOTE: this example requires PyAudio because it uses the Microphone class   import speech_recognition as sr   r = sr.Recognizer() #r.energy_threshold = 500 with sr.Microphone(0) as source:   r.adjust_for_ambient_noise(source)   print("Say something!")   audio = r.listen(source)   print("Processing !")   # recognize speech using Microsoft Bing Voice Recognition   # Enter your BING API Key here BING_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" # Microsoft Bing Voice Recognition API keys 32-character lowercase hexadecimal strings try:   speech_str = r.recognize_bing(audio, key=BING_KEY)   print("Microsoft Bing Voice Recognition thinks you said " + speech_str)   except sr.UnknownValueError:   print("Microsoft Bing Voice Recognition could not understand audio") except sr.RequestError as e:   print("Could not request results from Microsoft Bing Voice Recognition service; {0}".format(e))