Text To Speech Converter Project In Python

This means you will need an internet connection for it to work, but the speech quality is superb. Register your club today to access great benefits, including downloadable resources such as certificates and posters, and competitions you can enter to win goodies for your club. Using open source libraries for text-to-speech conversion and speech recognition, he describes a way to. TTS_chung_dll is a simple dll interface for TTS text to speech (SAPI5) written in freebasic to use with any programming language,. You can create TTS programs in python. NET, a Python tutorial, and then a walkthrough creating an example structured Python application. As you probably already know, a dictionary allows you to look up a word, and see it’s meaning. One use case can be medical transcription in the Healthcare industry i. I really do. Use Python’s NLTK suite of libraries to maximize your Natural Language Processing capabilities. They are ubiquitous these days – from Apple’s Siri to Google Assistant. It uses native speech drivers when available and works completely offline. Description : • Installation setup with two languages (English, French) • Two areas called text reading and speech downloading • Many languages supported to download center Note 1: I'm a student yet and I'm not in the software designing industry. Speech is converted to digital signals. Let's Begin: 1) Create New Project -> Select Windows Form Application in C# -> Give it a name. ’ The speech frames are compared with words from the grammar file to determine the spoken word. Please go through all these steps and provide your feedback and post your queries/doubts if you have. Systems differ in the size of the stored. In this Article, We will learn How to create Text to Speech Converter in C# Windows Form Application using SpeechSynthesizer Class. 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. Then, put it all together by building two applications: a temperature converter and a text editor. 3) Number Guessing Game. Carefully Chosen Python Examples Examples are carefully chosen to illustrate all concepts. In this article, I am going to introduce you to speech to text recognition. This API allows fine control and flexibility over the speech recognition capabilities in Chrome version 25 and later. Learn Python Series (#13) - Mini Project - Developing a Web Crawler Part 1; Learn Python Series (#14) - Mini Project - Developing a Web Crawler Part 2. Hello, I want to know how can I design a program (and logically an algorythm) which could transform the voice (sent by a microphone) to text using C# but under ASP. The major elements of a TTS system are described, with particular reference to vocal tract models. Therefore, I need to be able to convert the audio/speech to text offline. As we know, some people have difficulty reading large amounts of text due to dyslexia and other learning disabilities. This basically sends the audio file to Watson Speech to Text service. Android provides TextToSpeech class for this purpose. Speech recognition (SR) – technologies that enables the recognition and translation of spoken language into text by computers. Hence, we will see pyttsx3 which is modified to work on both Python 2. Let's Begin Step 1. I used gTTS along with Markov chains and FFMPEG filters to generate fake myths (inspired from Greek and Hindu mythology) on demand. Here is a list of the best free Speech to text converter Software for Windows. The collection of libraries and resources is based on the Awesome Python List and direct contributions here. Download Speech to Text Voice Recognition in JAVA Source Code. capturing doctor and patient conversation. It uses native speech drivers when available and works completely offline. this was the project that i did in my final year or B. The issue arises when you want to do OCR over a PDF document. Python Programs Here is the list of simple and basic python programs. You have a choice of using a REST API or a client library. Roles and Responsibility: Interpreting, visualizing and analyzing data in order to drive successful business solutions. On the other hand, you also have some other material out there that is not necessarily limited to R. ( Not necessary but it will help you determine if the text is all right or not ) split the string into three parts: first operand, operator and the second operand. The major advantage of using this library for text-to-speech conversion is that it works offline. so we have a text whose language we want to detect depending on stopwords being used in such text. NLP Tutorial Using Python NLTK (Simple Examples) - DZone AI AI Zone. Speech is converted to digital signals. In this blog, we will see, how to use 'Python-tesseract', an OCR tool for python. Text To Speech Converter Source Code Codes and Scripts Downloads Free. e google text to speech library. Let's make a program to convert text-speak to English. TTS (Text To Speech) is a tool that allows you to convert text into speech. In my current project I had an requirement to send a report in the email with attachment. Day by day business needs change depending on business requirements and fulfilling these requirements BPO and KPO come that require a physical assistance of humans to support specific requirements but some requirements exist in the application to convert text into speech without a human involved. A UML Use Case Diagram showing Text to Speech use case. The example allows initial interface contact to access cognitive speech text. org Speech-To-Text Conversion (STT) System Using Hidden Markov Model (HMM) Su Myat Mon, Hla Myo Tun Abstract: Speech is an easiest way to communicate with each other. In this research these images are converted into the audio output (Speech) through the use of OCR and Text-to-speech synthesis. Below we provide two examples of generating speech with the festival program. In this tutorial, you will use a pre-trained Haar Cascade from OpenCV to detect and extract faces from an image. The attribute result contains a python dictionary. Python is a programming language supports several programming paradigms including Object-Orientated Programming (OOP) and functional programming. TTS_chung_dll is a simple dll interface for TTS text to speech (SAPI5) written in freebasic to use with any programming language,. Pyttsx is a cross-platform speech (Mac OSX, Windows, and Linux) library. INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 4, ISSUE 06, JUNE 2015 ISSN 2277-8616 349 IJSTR©2015 www. Generate a Browser key. i wanna ask that you had said ,In the next few hours, you will release a document containing an in depth explanation of most of what is implemented in this repository. Rather, it simply provides an interface to the tesseract binary. The property-value pairs for speechClient vary depending on the specific service used (i. Description : • Installation setup with two languages (English, French) • Two areas called text reading and speech downloading • Many languages supported to download center Note 1: I'm a student yet and I'm not in the software designing industry. Drop a RichTextBox and four Button Controls from the ToolBox. Note: This library did not always give correct results for me, so it may not be advisable to use it in production. The process of producing a neural network begins with the most elementary form, a single perceptron. Code here : https://github. Speech to text is a booming field right now in machine learning. It mainly focuses at conversion of written text to speech in any given language. Very cool! I just started playing with speech recognition in Python for home automation this week. e google text to speech library. Speech to Text. Scraping means getting the html content as text from a particular website. How To Install Pyaudio In Python? To install Pyaudio in python, run the following command in the terminal or if you are using pycharm add the package from the project interpreter in the settings. Description : • Installation setup with two languages (English, French) • Two areas called text reading and speech downloading • Many languages supported to download center Note 1: I'm a student yet and I'm not in the software designing industry. In this article, I am going to introduce you to speech to text recognition. Participate in Mozilla's Common Voice Project. While many Python libraries are available that offer voice recognition and speech synthesis, Mr. Note: pytesseract does not provide true Python bindings. The urllib and requests packages are used to scrape the data from websites. As soon as it gets enabled, the Arduino identifies an available Speech Recognition Engine and starts streaming audio to BitVoicer Server. TDIL-DC Vertical Text-To-Speech. You must be quite familiar with speech recognition systems. Actual speech sounds are extracted from the sounds (based on energy of the sounds). In this codelab, you will focus on using the Speech-to-Text API with C#. This means you will need an internet connection for it to work, but the speech quality is superb. How to use the speech module to use speech recognition and text-to-speech in Windows XP or Vista. Give your project a voice! Without Text-to-Speech Module, Arduino TTS library makes it possible, voice synthesizer that converts a stream of digital text into retro (robot) speech. 8 (8 ratings) Course Ratings are calculated from individual students' ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately. ' The speech frames are compared with words from the grammar file to determine the spoken word. Getting Started. Using open source libraries for text-to-speech conversion and speech recognition, he describes a way to create a personal "Jarvis". Apply powerful neural network models to convert speech to text; Select Role as Project In this Python script, we will be using Google Speech API's latest. Python is eating the world: How one developer's side project became the. To convert the data models to Core ML format, we use a software called Core ML Tools. TTS (Text To Speech) is a tool that allows you to convert text into speech. The voice generator text to speech and speech to text provide the best online speech synthesizer. It uses 'webkitSpeechRecognition' for Voice to Text conversion and 'SpeechSynthesisUtterance' for Text to Speech. Real time speech to text conversion system introduces conversion of the uttered words instantly after the utterance. Here is a list of the best free Speech to text converter Software for Windows. A UML Use Case Diagram showing Text to Speech use case. This is simple and basic level small project for. With a large enough data set, it's possible to train speech-to-text (STT) systems so they meet production-quality standards. It usually consist of two parts: First it takes the raw text and converts latters, numbers etc into their written-out word equivalents. Text to speech without internet connection (using pyttsx3) Text to speech having internet connection (using gTTS) Python Text to Speech Example Method 1: Using pyttsx3. Speech to text is a booming field right now in machine learning. I'm controlling some WeMo switches and my PC with an Android Tablet using Autovoice, and it works well as a proof-of-concept, but Autovoice doesn't always register commands, and the "Okay, Google" speech to text can be slow sometimes. Suggestion for Text to Speech Converter. As you probably already know, a dictionary allows you to look up a word, and see it's meaning. Systems differ in the size of the stored. You can vote up the examples you like or vote down the ones you don't like. (Changelog)TextBlob is a Python (2 and 3) library for processing textual data. Julius is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) decoder software for speech-related researchers and developers. TextConverter(). Because Google's Speech Recognition API only accepts single-channel audio, we'll probably need to use Sox to convert our file. This includes doing things like: Using brackets in print statements/functions of one expression. I have looked at the best Raspberry Pi & sensor for my IoT Temperature Project, setup the hardware, took measurements and outputted them to a Twitter bot. Let's follow this simple tutorial to implement the same. Besides those, we'll also use the Pillow library which is a fork of the Python Imaging Library (PIL) to handle the opening and manipulation of images in many formats in Python. Now that we have Sox installed, we can start setting up our Python script. Applications incorporate text-to-speech conversion. sudo apt-get install libasound2-plugins libasound2-python libsox-fmt-all sudo apt-get install sox Converting Audio to Mono. To add a new package, please, check the contribute section. We have converter only a single line of Text using the above code but you can easily enhance this code using Text file handling. Is it possible to code it in Python? Or is it possible at all? If possible, how? Any help is appreciated. Let's start with creating a Windows Form Application for this tutorial by following the following steps in Microsoft Visual Studio: Go to File, click New Project, and choose Windows Application. This extension lets you convert selected text on a webpage to audio. Then, put it all together by building two applications: a temperature converter and a text editor. The goal of this project is to create a program that can encode a message. pkl' model = pickle. Speech is converted to digital signals. Here we will teach you how to use text to speech in android. This means you will need an internet connection for it to work, but the speech quality is superb. This basically sends the audio file to Watson Speech to Text service. Related course:. pyttsx - Text-to-speech x-platform¶. Next, add one TextBox named TextBox1 for inputting a text to become a speech, and add one button named Button1 to convert the inputted text into. Note: pytesseract does not provide true Python bindings. The following are code examples for showing how to use pdfminer. Also, students will know how to perform basic string processing, identify names, dates, and locations, tokenize text, convert text and words to vectors, identify the grammatical parts of a sentence, etc. IBM Watson's Speech to Text service takes an audio stream as input and returns the speech that was detected as output. Projects on Python. To put it simply, speech recognition is the ability of a computer software to identify words and phrases in spoken langua. Text-to-speech (TTS) is a type of speech synthesis application that is used to create a spoken sound version of the text in a computer document, such as a help file or a Web page. Google’s Text to Speech engine is a little different to Festival and Espeak. Python, Flask, Text to Speech (TTS), Microsoft, Project Oxford! Microsoft Provides at TTS service API to help hackers bring voice to their applications. and 31may is last date of project submission. Text To Speech Converter Source Code Codes and Scripts Downloads Free. From the Raspberry Pi Zero to the A+/B+ to the Raspberry Pi 2, all have the capacity to run free software to turn text to speech. First install eSpeak. Related Course: Zero to Deep Learning with Python and Keras. Program This program will record audio from your microphone, send it to the speech API and return a Python string. Especially with the growing market of smart phones people has started producing a huge … Continue reading Image Text Recognition in. Python Google Speech to Text API implementation by Travis Payton on September 7, 2014 in Programming , Tutorials • 16 Comments This constantly seems to be a request on Stack Overflow, and the fact that documentation for Google’s Speech API is practically non-existent, I have decided to share an implementation of it with everyone. This means you will need an internet connection for it to work, but the speech quality is superb. The attribute result contains a python dictionary. Converting Speech to Text is very easy in python. The system consists of two components , first component is for. Here's an example with the recognized text appearing almost immediately while speaking. Python speech to text with PocketSphinx March 25, 2016 / 126 Comments I’ve wanted to use speech detection in my personal projects for the longest time, but the Google API has gradually gotten more and more restrictive as time passes. PowerPoint Text To Speech Presentation. Here we will teach you how to use text to speech in android. the core Python developers) need to provide some clearer guidance on how to handle text processing tasks that trigger exceptions by default in Python 3, but were previously swept under the rug by Python 2’s blithe assumption that all files are encoded in “latin-1”. Text to speech without internet connection (using pyttsx3). They are ubiquitous these days - from Apple's Siri to Google Assistant. In this chapter, we will learn about speech recognition using AI with Python. speech to text and text to speech conversion (STS). This is simple and basic level small project for. This library basically reads out any piece of text and converts it to. This library has many advantages as it can work offline too, with no or very little delay in getting a response and it is compatible with both python 2 and python 3. pyttsx - Text-to-speech x-platform¶. Systems differ in the size of the stored. typed, handwritten, or printed text into machine encoded text. As soon as it gets enabled, the Arduino identifies an available Speech Recognition Engine and starts streaming audio to BitVoicer Server. Python Speech recognition forms an integral part of Artificial Intelligence. Step#3: Now after you run the above code snippet, whatever you say on the microphone. How to Build a Text to Speech IOT Speaker : MotivationThis project is about building a remote controlled speaker that has text to speech ability. Using open source libraries for text-to-speech conversion and speech recognition, he describes a way to create a personal "Jarvis". The property-value pairs for speechClient vary depending on the specific service used (i. This sample creates a live translation service using the Cloud Speech-to-Text, Translation, and Text-to-Speech APIs. python projects for beginners, 25 python django projects to build over the weekend, list of python Django mini projects, Final year project ideas, complete list of python projects for beginners, python projects to start with, learning python by building projects. TextConverter(). At the last section of our course, I will show simply how to install required libraries and applications and run our Python scripts in both Windows and Mac. Let's Begin Step 1. NET tab in the Add Reference dialog box, select System. The program is absolutely free of cost and works fantastically, with no damaged functionalities and no trial period. For speech recognition, the service supports synchronous and asynchronous HTTP Representational State Transfer (REST) interfaces. And they are. To convert the data models to Core ML format, we use a software called Core ML Tools. This means you will need an internet connection for it to work, but the speech quality is superb. Using open source libraries for text-to-speech conversion and speech recognition, he describes a way to. Available as an add-in for Microsoft’s software, Dictate is powered by the same speech recognition technology that Cortana uses in order to convert your speech to text. The MARY Text-to-Speech System (MaryTTS) MaryTTS is an open-source, multilingual Text-to-Speech Synthesis platform written in Java. This sample shows you how to use your microphone with the Cloud Speech RPC API to provide non-streaming and streaming speech recognition. In Python, a dictionary is even more flexible that that - it allows you to map anything (called a key) to anything else! Here’s a dictionary that links text-speak words. Introduction: Make Your Raspberry Pi Speak! Sometimes your robot just wants to talk! This tutorial will show you how to make your Raspberry Pi speak aloud. A quick Google search left me without any freeware that could handle the 53 page document–there are some cool websites that do text to mp3 like vozme and YAKiToMe! but they didn’t convert the whole document. Real time speech to text conversion system introduces conversion of the uttered words instantly after the utterance. Train a model to convert speech-to-text using DeepSpeech About Natural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas. Easy Python program to convert Text to Speech using Google API module. The urllib and requests packages are used to scrape the data from websites. Python is a popular and a powerful scripting language that can do everything, you can perform web scraping, networking tools, scientific tools, Raspberry PI programming, Web development, video games, and much more. Try accessing that data in your TwiML. In this video, i show you how to use the ttsx3 module in Python 3 to show you how to do text to speech. typed, handwritten, or printed text into machine encoded text. Instead of reading an e-Book or any word from your computer you can just copy the text to the clipboard and click the play button and listen to the audio. hello,@Rayhane-mamah,i saw the dicussion. We can make the computer speak with Python. I am doing a project on the speech recognition for home automation but i can not find the code to convert the speech into the text and also i can not justify that what is spoken in the speech? so please any one can help me?. If you want more latest Android projects here. Pytsx is a cross-platform text-to-speech wrapper. The basic goal of speech processing is to provide an interaction between a human and a machine. The system consists of two components , first component is for. Text to speech converter is a great technology which is now a days used in many software. Let’s make a program to convert text-speak to English. 2-A module that can be used along with Protégé for. Python is also a generally simple language in terms of readability, so it can make these complex systems and algorithms pretty concise. gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate's text-to-speech API. These python programming examples will help beginners as well as experienced to improve there python knowledge. Speech is converted to digital signals. Python is eating the world: How one developer's side project became the. Join the discussion and leave a comment, in the case of any doubts. Pytsx is a cross-platform text-to-speech wrapper. Or you can also go through this introductory Kaggle tutorial. Give your project a voice! Without Text-to-Speech Module, Arduino TTS library makes it possible, voice synthesizer that converts a stream of digital text into retro (robot) speech. Be a Professional Python Programmer and Learn the Most Demanding Skill in the Job Market. This course will provide a gentle, yet intense, introduction to programming using Python for highly motivated students with little or no prior experience in programming. Speech recognition (SR) – technologies that enables the recognition and translation of spoken language into text by computers. Listen – Speech to Text – The robot must listen to what user says and then convert the speech to text so that it can be processed. can I do that by changing your code in a way that it also saves the audio input. eSpeak uses a formant synthesis method. This package works in Windows, Mac, and Linux. Add a description, image, and links to the speech-to-text topic page so that developers can more easily learn about it. Basically, it will convert all words having the same meaning but different representation to their base form. This is an extremely competitive list and it carefully picks the best open source Machine Learning libraries, datasets and apps published between January and December 2017. People’s accents vary across the world and due to that, speech to text. Major application …. You might have heard about OCR using Python. Over 80 practical recipes on natural language processing techniques using Python's NLTK 3. eSpeak uses a formant synthesis method. They are from open source Python projects. Step#3: Now after you run the above code snippet, whatever you say on the microphone. This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset. Applications incorporate text-to-speech conversion. In this blog, we will see, how to use 'Python-tesseract', an OCR tool for python. This is a compact speech synthesizer that provides support to English and many other languages. Text to Speech is also finding new applications outside the disability market. 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. Related Course: Zero to Deep Learning with Python and Keras. As a developer at IDR Solutions I spend a lot of my time working on the JPedal Java PDF library and lately I have been improving functionality with text to speech. Audio File Speech To Text Conversion In Linux Posted on December 17, 2014 by lindylex Debian Linux Testing A. Speech-to-text conversion. Using this application, most of modern android cellphones can feature the facility of reading text messages so that user doesn’t need to go through the message. Text to speech Pyttsx text to speech. Python generally popular cuz of the modules and library support that it provides,which makes it a very easy and powerful language. In this quickstart you will use the Speech SDK to convert text to synthesized speech in an audio file. 3) Number Guessing Game. X as well as Python 2. You may change the speed,pause it ,resume it in the application. i am using google speech to text api in my final year project of BS. eSpeak uses a formant synthesis method. This lets you synthesize text in to audio you can hear. First install eSpeak. Therefore. 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. Test to speech converter is a recent software project that allows even the visually challenged to read and understand various documents. Unlike earlier speech recognition products, you no longer have to train the browser to understand your speech and, for those who don’t know touch typing, speech is often a faster mode of input than the keyboard. please reply as soon as possible. Python Speech to Text Client Inspiration: What it does: We built a speech to text client library using the Websockets protocol in python. Text To Speech Source Code In C Codes and Scripts Downloads Free. In this codelab, you will focus on using the Speech-to-Text API with C#. E Software! if u like it please comment. Text to speech in python. and 31may is last date of project submission. 2) Encryption Decryption. The urllib and requests packages are used to scrape the data from websites. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. Create a python module com. First install eSpeak. Step#3: Now after you run the above code snippet, whatever you say on the microphone. : Speaker Recognition with Watson Speech-to-Text API Distinguishing between two people in a conversation is pretty difficult especially when you are hearing them virtually or for the first-time. As we know, some people have difficulty reading large amounts of text due to dyslexia and other learning disabilities. Speech is converted to digital signals. AudioFile(). recorded an interview that is in an mp4 file. It’s 100% free for unlimited usage contribute on our blog and add your company or project to the. Then run the following script to check installation. To add a new package, please, check the contribute section. Finally, Python loops over each item in the list of filled-in poetry stanzas and uses speech. I want to have TTS (text-to-speech) during slide show in powerpoint 2010 - is their an add in for this? I have several powerpoint 2010 presentation - just text. It's called gTTS. From the command line (or terminal session), navigate to your project directory and run: python tts. Speech processing is widely used in many. The Speech to Text service. Then it uses Tesseract OCR to convert the image to plain text, and runs the text through a speech synthesis engine which reads it aloud. I'm sharing the efforts of a programmer to create his own python-powered personal assistant. Understanding the Problem Statement for our Speech-to-Text Project; Implementing the Speech-to-Text Model in Python. One of such APIs is the Google Text to Speech API commonly known as the gTTS API. It also covers how to use English and Russian voices but works in Windows. We have converter only a single line of Text using the above code but you can easily enhance this code using Text file handling. Using open source libraries for text-to-speech conversion and speech recognition, he describes a way to create a personal "Jarvis". I need you to create an application that will allow me to upload an audio file, convert it from speech to text, then pass that text to a semantic analysis API that will return structured data about th. In this tutorial, we’ll be learning about Text-To-Speech(TTS) conversion using a Python library named pyttsx3. These python programming examples will help beginners as well as experienced to improve there python knowledge. Be very careful to use binary mode when reading and writing such files. NET tab in the Add Reference dialog box, select System. Release v0. Give your project a voice! Without Text-to-Speech Module, Arduino TTS library makes it possible, voice synthesizer that converts a stream of digital text into retro (robot) speech. com/umangahuja1/Youtube/blob/master/Python_Extr. 2) Encryption Decryption using Python. So I thought it will be good for my readers to learn how to send mail with attachment using Python. Andy Wolber shows you how to enable speech-to-text features with Google Docs on Chrome OS, Android, and iOS devices. Eg: If you enter any number (positive, negative or decimal) you will get a text / word format of the given number. I have recently installed the "Uberi" Speech Recognition package. Using the REST API means getting only one reco result back with no partial results. The SpeechRecognition library supports multiple Speech Engines and APIs. A UML Use Case Diagram showing Text to Speech use case. TypeIt ReadIt. They are ubiquitous these days - from Apple's Siri to Google Assistant. Let's Begin Step 1. Kaldi is one of the most popular speech-to-text engines available, and it has several "models" to choose from. apt-get install espeak. The major elements of a TTS system are described, with particular reference to vocal tract models. This company is specialized in the area of speech and language technology. There are several APIs available to convert text to speech in python. Then it uses Tesseract OCR to convert the image to plain text, and runs the text through a speech synthesis engine which reads it aloud. ( Not necessary but it will help you determine if the text is all right or not ) split the string into three parts: first operand, operator and the second operand. Writes spoken mp3 data to a file, a file-like object (bytestring) for further audio manipulation, or stdout. Sphinx is a tool that makes it easy to create intelligent and beautiful documentation, written by Georg Brandl and licensed under the BSD license. Note: pytesseract does not provide true Python bindings. So, the main thing required for implementation of Text to Speech alongside Hotword detection is a way to control stopping and resuming hotword detection when Text to speech is in process. Convert the image to grayscale for better recognition of text and store the data in gray # Converting to grayscale gray = cv2. NET, a Python tutorial, and then a walkthrough creating an example structured Python application. It would be better to further convert that regional Indian language into English text. Text to speech converter - Python Code Are you bored to read long articles and want someone else to read all that boring stuff you want to know from that text file. To convert it into peech a module called festival is used. The major advantage of using this library for text-to-speech conversion is that it works offline. This includes the Raspberry Pi line of single board computers. At the last section of our course, I will show simply how to install required libraries and applications and run our Python scripts in both Windows and Mac. It's a 100% free and open source speech-to-text library that also implies the machine learning technology using TensorFlow framework to fulfill its mission. Speech Recognition is a process in which a computer or device record the speech of humans and convert it into text format.