Language translator and converter using Python

There are many languages around the globe, but the majority of content we see is in the English language online as well as offline. English is the official language of only seven countries comprising little more than five per cent of the globe’s population. Many corporate people want to talk or communicate in their native language and use the English language as their second language. By using machine translation with the help of python anyone could easily translate the content in one language to another language in real-time. If they own their smartphone they can be familiar with one more facility that they use on a daily basis that is Google Assistant, Siri, and Alexa. They all are using speech to text models, it saves a ton of time of typing an important document. In this project, we will also discuss this technology using Python.

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Project Description 

Speech Recognition is an important feature in several applications used, such as home automation, artificial intelligence, etc. This python project aims to provide an introduction on how to make use of speech recognition in Python along with the language translator. For this, we have to download or install several libraries of Python language.

It includes:

• Python Speech recognition module
• PyAudio
• Python pyttsx3 module
• Microphone, etc.

It will act as a wrapper for several popular speech APIs.

Modules used in this project

Following are the modules that are important to implement the translation and convert speech to text in Python:

Python Speech recognition module:

• It can be installed by using the syntax pip install Speech Recognition in Python 3.
• After installation, it should be verified by opening an interpreter session.

PyAudio

• After that using pip install pyaudio to install the PyAudio.
• It provides Python bindings for PortAudio, the cross-platform audio I/O library.

Python pyttsx3 module

It can be installed by using the syntax pip install pyttsx3

Google Translate API

• Install goslate module.
• Use pyenv, pipenv for installation.
• Import the code:

Import goslate

text = “Hello World”

gs = goslate.Goslate()

TranslatedText = gs.translate(text print (translatedText)

Software Requirements:

• Front end: Python3
• Back end: Python 3.6.0 interpreter
• PyAudio
• Google translate API

Hardware Components:

• Processor – Intel core i3 or above
• Microphone
• Hard Disk – 128 GB
• Memory – 1 GB RAM

Project Implementation

This can be implemented by using some procedures like:

• Allow Adjusting for surrounding Noise:

The surrounding noise can vary the result of the translator so, we must allow the program a second or to adjust the energy threshold of recording so, it adjusted to the external noise.

• Speech to text translation:

This can be done through Google APIs. This requires an internet connection to activate the connection. It is used very easily by the user.

Applications:

• Can be used in car systems.
• Health care field
• Military
• Usage in Education and daily life.

Advantages:

• Fast and reliable
• Auto language detection
• Bulk translation can be done
• Less expensive.

Disadvantages:

• Only uses English as its default language.
• Need More languages in libraries

Future Scope:

• More Features can be added in the future.
• It can also be used for other operating systems like Mac, android etc.

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Language translator and converter using Python