IMAGE TEXT TO SPEECH CONVERSION IN DESIRED LANGUAGE

Speech Synthesis is one of the most leading application areas in natural language processing (NLP). This is also known as “Text-To-Speech” (TTS) and is mainly the capability of the device to “speak” text of different languages. This application acts as an interface between two different representations of information, namely text and speech, to perform effective communication between two parties. Our main objective is to make an application of speech synthesis for Android based mobile phones. We have developed an application on the Android environment and the voice conversion libraries provided by Android environment are used. The application developed is user friendly and reliable and effective communication is performed.

Indian Journal of Science and Technology, 2016

The present paper has introduced an innovative, efficient and real-time cost beneficial technique that enables user to hear the contents of text images instead of reading through them. It combines the concept of Optical Character Recognition (OCR) and Text to Speech Synthesizer (TTS) in Raspberry pi. This kind of system helps visually impaired people to interact with computers effectively through vocal interface. Text Extraction from color images is a challenging task in computer vision. Text-to-Speech conversion is a method that scans and reads English alphabets and numbers that are in the image using OCR technique and changing it to voices. This paper describes the design, implementation and experimental results of the device. This device consists of two modules, image processing module and voice processing module. The device was developed based on Raspberry Pi v2 with 900 MHz processor speed.

International Journal of Computer Applications, 2016

In the past decade, demand for mobile phones has seen a consistent rise if other portable computing devices taken into consideration. When confronted with a query, people first take out their mobile phones with internet connections instead of going for other options such as Laptops or PCs. When it comes to software development, the first choice of a developer would be Android OS because of its open source licensing and the sheer number of users all over the world. Text to speech is a process of generating speech by a device on the basis of input text. The focus of a proposed work is to develop an application for mobile customers who are unable to get solution to their problems because of the language barriers. Many companies do provide support for regional languages to solve their customer's issues, however they haven't yet developed a software application for Hindi. So, a questionnaire is formed on the basis of frequently asked questions by mobile customers and created a database as a solution for both English and Hindi. Speech synthesis will have an important role for the people with sight disabilities.

International Journal of Latest Research in Engineering and Technology, 2017

Visual impairment is one of the biggest limitation for humanity, especially in this day and age when information is communicated a lot by text messages (electronic and paper based) rather than voice. The device we have proposed aims to help people with visual impairment. In this project, we developed a device that converts an image's text to speech. The basic framework is an embedded system that captures an image, extracts only the region of interest (i.e. region of the image that contains text) and converts that text to speech. It is implemented using a Raspberry Pi and a Raspberry Pi camera. The captured image undergoes a series of image pre-processing steps to locate only that part of the image that contains the text and removes the background. Two tools are used convert the new image (which contains only the text) to speech. They are OCR (Optical Character Recognition) software and TTS (Text-to-Speech) engines. The audio output is heard through the raspberry pi's audio jack using speakers or earphones.

This paper basically walks through the development of "Text-less safe driving", an application that auto responds to text messages you receive while you"re driving. The driving and texting epidemic which has engulfed the people right since the inception of telephones is not really a good thing when it comes to safety. This basic application deals with this issue by autoresponding according to the users need. It basically responds automatically (and hands-free) to any text with a message such as "I"m driving right now, I"ll contact you shortly." It"s also an implementation of how Android provides access to some great working features of the phone, including SMS text processing, database management, text-to-speech, and the location sensor.

IRJET, 2023

In the anti-establishment world, there is a first- rate extent in the utilization of digital technological know-how to be aware of how and a vary of methods are on hand for a character to catch images. Such images may additionally comprise necessary textual information that the customer may additionally desire to edit or store digitally. This can be completed the utilization of Optical Character Recognition with the help of Tesseract OCR Engine. OCR is a branch of artificial Genius that is used in features to apprehend textual content material from scanned documents or images. The recognized textual content material can moreover be changed to audio sketch to aid visually impaired human beings hear the data that they wish to understand and additionally to the illiterate. So, truly at the existing day purposes convert image to textual content, picture to handwritten notes and later provide its audio contents is the use of Optical Character Recognition (OCR) tool. Now, we additionally introduced new attribute like image to text, textual content material to speech, and we can convert the textual content material to any language as per individual requirement, it will be increased available and accustomed way to do. All the journal, have reply in addition we’re alongside with translator that can be google translated bundle deal for our project. In this we will be exploring wonderful bundle and mission will comprise web page the region customer can add photograph and in the returned of at the backend it will process enter and ship lower back aspect in form of API. This utility can be used for character focus from scanned archives so that information can be digitalized. Also, the data can be converted to audio form to aid visually impaired people obtain the records easily. In this, we can prolong the utility to that is can apprehend greater languages, one of a form fonts. Various accents can moreover be delivered for audio files in the upcoming future.

A Text-to-speech synthesizer is an application that converts text into spoken word, by analyzing and processing the text using Natural Language Processing (NLP) and then using Digital Signal Processing (DSP) technology to convert this processed text into synthesized speech representation of the text. Here, we developed a useful text-to-speech synthesizer in the form of a simple application that converts inputted text into synthesized speech and reads out to the user which can then be saved as an mp3.file. The development of a text to speech synthesizer will be of great help to people with visual impairment and make making through large volume of text easier.

Zenodo (CERN European Organization for Nuclear Research), 2022

The Voice and Text Translator is about translating one form of speech to another. This is a multi-tasking project which can perform various tasks at the same time. The definition of voice recognition should be taken into account, as it is often correlated with the process of identifying a person from his or her voice, i.e., the recognition of a speaker. The main aim of this app is to provide a mechanism for Speech to Speech. It further provides the mechanism for Speech to Text, Text to Speech, and also Text to Text in various languages. This software which deals with speech recognition has to get adapted to the unpredictable and highly variable nature of the human race. Every algorithm that is involved in the speech recognition process is tested and trained on different speaking styles, languages, accents, phrasings, or speaking patterns. Moreover, all these softwares also have to separate the actually spoken speech(audio) from the unwanted background noise that often accompanies these signals. This also contains some advanced features like voice recognition, understanding, and conversion, which are difficult for a machine to perform. But nowadays AI and ML are dominating the Tech. At its core, this project is built in the python programming language. Python is known for its rich and vast library and its usage in almost all kinds of projects. So, this Translator also contains some very precious modules of Python like Google-Trans, gTTs, etc. A broad array and series of research in the fields of computer science and linguistics are used in the speech recognition process. To have an easier life or to take part in the trending technologies that include hands-free use of any device, almost all the modern devices are adapting and shifting towards integrating speech recognition functions into their device and making up with the new trending technologies.

The present paper has introduced an innovative, efficient and real-time cost beneficial technique that enables user to hear the contents of text images instead of reading through them. It combines the concept of Optical Character Recognition (OCR) and Text to Speech Synthesizer (TTS) in Raspberry pi. This kind of system helps visually impaired people to interact with computers effectively through vocal interface. Text Extraction from color images is a challenging task in computer vision. Text-to-Speech conversion is a method that scans and reads English alphabets and numbers that are in the image using OCR technique and changing it to voices. This paper describes the design, implementation and experimental results of the device. This device consists of two modules, image processing module and voice processing module. The device was developed based on Raspberry Pi v2 with 900 MHz processor speed.

International Journal of Advanced Science and Engineering, 2022

A number of applications emerging related to image to text conversion or image to speech conversion which helps us in various ways. This paper focussed on the conversion of Image-to-Speech in two different phases. The supporting tools used to implement this work are tesseract-OCR, machine learning based libraries, and speech recognizer using Python. For a given image the texted regions are partitioned using morphological operations. An annotated image to text and speech synthesis using cloud API is done. This work focussed on the conversion of input image into text, and further the text is converted into English speech and then translated into speech of various Indian languages. The proposed system is useful for visually impaired persons who are not able to read or recognize the text given in many sign boards or images, and also in many more applications where we are in need of Image-to-Speech synthesis. It also focussed on translating the English speech into a number of Indian languages such as Nepali, Urdu