ABSTARCT-Speech Translation is the procedure by whichconversational talked phrases are in a split second deciphered and talked soanyone might hear in a moment.
This contrasts from phrases interpretation,which is the place the framework just deciphers a settled and limitedarrangement of expressions that have been physically gone into the framework.Speech interpretation innovation empowers speakers of various dialects toimpart. It in this way is of gigantic incentive for mankind as far as science,diverse trade and worldwide business.Apart from the problems involved in the texttranslation, it also has to deal with special problems occur inspeech-to-speech translation, incorporating incoherence of spoken language,fewer grammar constraints of spoken language, unclear word boundary of spokenlanguage, the correction of speech recognition errors and multiple optionalinputs.
Additionally, speech-to-speech translation also has its advantagescompared with text translation, including less complex structure of spokenlanguage and less vocabulary in spoken language. About theReal Time Language Translator-Real-Time Language translator is a need for thecurrent generation. As Globalization is expanding day by day, more and morepeople are migrating to other countries. More and more people are travelling toother countries for tourism, employment, education purposes, etc. But the soleproblem that is common in all the scenario is the problem of the language gap.
Real-Time Language Translator looks forward to bridge the gap. Whether you aretravelling to a foreign destination or in your own diverse country like sayIndia, the product will help people speaking different languages to interactwith each other. With the advancement in the technology, the one thing that ispresent all over the world, at every place is INTERNET. Your translator will beconnected to the internet which can act as the database for all the availablelanguages. The translator can be in the form of a remote device or can be inthe form of just your everyday earphones/headphones.
It can work in any scenario,in any condition at any time. Just imagine while travelling to other locationswith different language as your mother tongue, you need not hire a personaltranslator or a guide, just switch on your very own translator and understandevery bit of words your counter-part speaks.Implementing it is not so rock-breaking but can beover costly. So, the main idea is to deliver the product to the general public.Lots and lots of incidents took place just because ofthe language gap. Just because you can’t understand what your fellow being hasto say.
Imagine yourself in an emergency situation, in a far distinct locationwith a different language. You were neglected just because you were asking forhelp to other people in other language will no longer be an option, with thetranslator you can converse and ask for any assistance. Instead of making anyone language at the global level as the sole purpose for conversations we canall just be fluent in our own language and let the real-time languagetranslator do all the work.The possibilities of you being conned or tricked in a foreignlocation won’t happen just because the local tricked you. Not everyone knowEnglish and I would say that not everyone should make an effort to learn itbecause we will need it to converse with other people who speaks differentlanguages.
Let’s take our very own example of VIT, where most ofthe people converse in English but few people here, for example, the local shopowners, some auto drivers that are new here won’t be able to converse easilywith the students, so the translator here comes for the rescue.The main idea is to deliver the product to the generalpublic instead of the 10 percent of the richest of the 10 percent. It should belike the mobile phone but easy to deliver.
The phones were just available tothe rich in the beginning. But with the advancement in the technology now mostof the people are able to afford the smartphone. Easy to deliver and easy touse is the main viewpoint from my side. This product is in need as of now.
Noteveryone can use google translate or any other service every time. This ideawill solve many problems and will take a step forward in making life of theindividuals a little better. EXISTINGWORK-In 1983, NEC Corporation demonstrated speechtranslation as a concept exhibit at the ITU Telecom World (Telecom’83).The first individual generally credited with developing and deploying acommercialized speech translation system capable of translating continuous freespeech is Robert Palmquist, with his release of an English-Spanish largevocabulary system in 1997. This effort was funded in part by the Office ofNaval Research. To further develop and deploy speech translation systems, in2001 he formed SpeechGear, which has broad patents covering speechtranslation systems.
In 1999, the C-Star-2 consortium demonstratedspeech-to-speech translation of 5 languages including English, Japanese,Italian, Korean, and German. In 2015, was developed Blabber Messenger -speech translator for 23 languages.The first version of Microsoft’s machine translationsystem was developed between 1999 and 2000 within Microsoft Research.
Thissystem was based on semantic predicate-argument structures.The consumer-facing translation site known as BingTranslator (previously known as Windows Live translator) was launchedin 2007 and provides free text and website translations on the web. Text istranslated directly within the Bing Translator webpage while websites aretranslated through the Bilingual Viewer tools.In 2011, the service was extended to include numerousMicrosoft Translator products through a cloud-based API, whichsupports products available to both consumer and enterprise users.
Anadditional speech translation capability was introduced in March 2016.And recently Google launched its Pixel Buds in 2017that has integrated the complete translating module in the wireless earphones. DesignFlow-The prototype for the following project consist of thefollowing components:The major need is of the Bluetooth or Wi-Fi modulebecause we want to make the translator as portable as possible.The Bluetooth or Wi-Fi module will be connected toyour major device that will do the computing.Module will be present in the wireless hearing aidsthat would be connected to another portable device that does the computing(let’s say your mobile phone or laptop).
There will be a separate software compatible with thehost’s OS in which we can set the presets of the languages we want totranslate(from and to option will be there. In ‘from’ we can enter multiplelanguages and select the ‘to’ language i.e. the language we want as output)The input from the earplugs’ microphone and transmitit to the computational device.
Which in turn translates it into signals andthe computational device’s software analyze the input and search it from thedatabase of languages using neural network and it also use machine learning toimprove the result day by day.