Voice Browser,it is a kind of browser that responds with the voice and even takes input from the user through voice and processes the input using standardized VoiceXML.It is W3C certified project.
Voice Browser,it is a kind of browser that responds with the voice and even takes input from the user through voice and processes the input using standardized VoiceXML.It is W3C certified project.
DISCLAIMER: This Presentation is made for educational purposes only.
Introduction to Computer Programming, Computer Language, History of Computer Language, Hierarchy of High-Level Languages, Algorithm, Data Types and Arduino
It's a new Windows based application for visually impaired person..!
This application will provides only, mail services for blinds and there's no voice duplications allowed during the user login.
10 World’s Leading Speech or Voice Recognition Software That Can 3X Your Prod...nehachhh
Are you looking for voice recognition software that allows you to search, edit, share, and organize your transcripts? Here are 10 voice & speech recognition software.
Types Of Coding Languages: A Complete Guide To Master Programmingcalltutors
Are you confused about types of coding languages? In this article, we have discussed everything about different types of programming languages in detail.
Advanced Computational Intelligence: An International Journal (ACII)aciijournal
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
DISCLAIMER: This Presentation is made for educational purposes only.
Introduction to Computer Programming, Computer Language, History of Computer Language, Hierarchy of High-Level Languages, Algorithm, Data Types and Arduino
It's a new Windows based application for visually impaired person..!
This application will provides only, mail services for blinds and there's no voice duplications allowed during the user login.
10 World’s Leading Speech or Voice Recognition Software That Can 3X Your Prod...nehachhh
Are you looking for voice recognition software that allows you to search, edit, share, and organize your transcripts? Here are 10 voice & speech recognition software.
Types Of Coding Languages: A Complete Guide To Master Programmingcalltutors
Are you confused about types of coding languages? In this article, we have discussed everything about different types of programming languages in detail.
Advanced Computational Intelligence: An International Journal (ACII)aciijournal
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
VOICE COMMAND SYSTEM USING RASPBERRY PIaciijournal
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
Voice Command System Using Raspberry PIaciijournal
The purpose of this research paper is to illustrate the implementation of a Voice Command System. This
system works on the primary input of a user’s voice. Using voice as an input, we were able to convert it to
text using a speech to text engine. The text hence produced was used for query processing and fetching
relevant information. When the information was fetched, it was then converted to speech using speech to
text conversion and the relevant output to the user was given. Additionally, some extra modules were also
implemented which worked on the concept of keyword matching. These included telling time, weather and
notification from social applications.
Are you looking for the best speech recognition software? Deepgram, voicegain, google cloud, are the best speech recognition software.
Speech Recognition Software helps in converting speech into readable text with a high degree of accuracy via AI, ML as well as NLP techniques. In this content, you will find Top 10 Best Speech Recognition Software for Mac or another device (as well as platforms) in 2023.
This paper presents the method of applying speaker-independent and bidirectional speech-to-speech translation system for spontaneous dialogs in real time calling system. This technique recognizes spoken input, analyzes and translates it, and finally utters the translation. The major part of Speech translation comes under Natural language processing. Natural language processing is a branch of Artificial Intelligence that deals with analyzing, understanding and generating the languages that humans use naturally in order to interface with computers in both written and spoken contexts using natural human languages instead of computer languages. Speech Translation involves techniques to translate the spoken sentences from one language to another. The major part of speech translation involves Speech Recognition which is the translation of spoken speech to text and identifying the context and linguistic structure of the input speech. In the current scenario, the machine does not identify whether the given word is in past tense or present tense. By using the algorithm, we search for a word to check if it is past or present by searching for the sub strings, as “ed”, ”had”, ”Done”, etc., This paper gives us an idea on working with API’s to translate the input speech to the required output speech and thus increasing the efficiency of Speech Translation in cellular devices and also a mobile application that will help us to monitor all the audios present in mobile device and translate it into required language.
Abstract
The technology of voice browsing is rapidly evolving these days. It is because the use of cell phones is increasing at a very high rate, as compared to connected PCs. Listening and speaking are the natural modes of communication and information gathering. As a result we are now heading towards a more voice based approach of browsing rather than operating on textual mode. The command input and the delivery of web contents are entirely in voice. A voice browser is a device: that interprets voice input and interprets voice markup languages to generate voice output. That interprets a script which specifies exactly what to verbally present to the user as well as when to present each piece of information. Benefits Voice is a very natural user interface which speeds up browsing.
Voice recognition system is a system which is used to convert human voice into signal, which can be understood by the machines. When this is achieved, the machine can be made to work, as desired. The machine could be a computer, a typewriter, or even a robot. There are systems available, in which the machine ‘speaks’ the recorded word. But that is out of the scope of this paper. Here, only the human is expected to talk. Further, the voice recognition systems described here, can be used for projects only.
Wake-up-word speech recognition using GPS on smart phoneIJERA Editor
Wake-Up-Word (WUW) is a new prototype of speech recognition not widely recognized. Lately, the use of GPS is widely increased in everyday life that means that our necessities have changed. We can use a new paradigm in controlling the voice of a map in the digital era. This would bring benefit for people while driving a car. In this paper we present a set of voice commands to integrate within the map and navigation voice control. Using a voice control for Global Positioning System (GPS) helps to determine and track the precise location using a technology called Google API. The benefit of this application would be avoiding car accidents using speech command instead of typing.
These Notes from the class of BS EDUCATION 1st Semester (Spring) Session 2023-2027 Teacher :Ch Naveed Afzal
semester started in march 2023 and end in july 2023
1. Abstract:-
The paper dwells on customized speech
recognition system which can recognize any regional
language. Speech recognition is the translation of
spoken words into text. Speech to text involves
capturing and digitizing the sound waves, converting
them to basic language units or phonemes,
constructing words from phonemes and contextually
analyzing the words. Speech recognition software is
designed such that with a microphone, it interprets
spoken words to carryout computer commands. The
existing speech recognition systems are capable of
recognizing only globally accepted languages such as
English, French, Spanish, German, etc…
The proposed system recognizes the voice
command in any language. This command can be
converted into phonemes with the help of Microsoft
SAPI, a speech application programming interface
developed by Microsoft. The software works by
identifying the sound patterns that the user produces,
and associating each pattern with the particular
action in its custom grammar.
1. INTRODUCTION
Language is the man’s most important means
of communication and speech its primary medium.
Speech provides an international forum for
communication among researches in the disciplines
that contribute to our understanding of the
production, perception, processing, learning and use.
Spoken interaction both between human
interlocutors and between humans and machines is
inescapably embedded in the laws and condition of
communication which comprise the encoding and
decoding of meaning as well as the mere
transmission of messages over an acoustical channel.
Speech recognition technology has tremendous
potential as it is an integral part of future intelligent
devices, where speech recognition and speech
synthesis are used as the basic means of
communicating with humans. This technology
transforms spoken words into alphanumeric text and
navigational commands that can be recognized by a
PC. It will simplify the Herculean task of typing and
will eliminate the conventional keyboard. This
technology adds a lot in manufacturing and control
application where hands or eyes are otherwise
occupied. Disabled and elderly people will no longer
need to be away from the internet and the
information technology.
For years, speech recognition has been the poster
child for technology that never lived up to its
promise. Only 3 years ago, the products were
expensive, inaccurate and hard to use. Fast PC’s and
indigenous software improvements mean that
speech recognition technology finally offers real
benefits. Recently there has been a large increase in
the number of recognition applications for use over
telephones, including automated dialling, operator
assistance and remote data access service; such as
financial services; for voice dictation systems like
medical transcription applications.
2. EXISTING SYSTEM
To understand how speech recognition works it is
desirable to have knowledge of speech and what
features of it is used in the recognition process. In
human brain, thoughts are constructed into sentence
and the nerves control the shape of the vocal tract to
Customized speech recognition system 1
CUSTOMIZED SPEECH RECOGNITION SYSTEM
Thejus Joby
Customized speech recognition system
2. produce the desired sound comes out phonemes
which are the building blocks of speech. Each
phoneme has a unique fundamentals frequency
and hence unique format frequency and it is this
features that enables the identification of each
phoneme at the recognition stage.
The system has 2 primary components. The
first piece called the acoustic model removes
noise and unneeded information such as changes
in volume. Then, using mathematical calculations,
it reduces the data to a spectrum of frequencies,
analyzes the data, and converts the words into
digital representation of phonemes then the
second major component of speech recognition
software, the language model kicks in. The
language model analyzes the content of speech. It
compares the combinations of phonemes to the
words in its digital dictionary, a huge database of
the most common words in the English language.
The language model quickly decides the words
and displays them on the screen.
Sophisticated voice recognition software
offers features that allow the software to learn
the patterns of its use. This is usually done by
creating voice files during the installation process.
Because individuals pronounce specific words
differently, the more information that speech
recognition software has about a particular user’s
speech, the better it can recognize what the user
is saying at any given time and fewer mistakes the
software makes in translating speech or executing
commands.
Limitations:-Speech recognition software begins
with a database of pre-programmed sound
patterns. However, actual user speech varies. A
user’s pronunciation of a given word can change,
the quality of the microphone gathering the sound
patterns may be poor and ambient noise can all
alter the sound pattern for a particular word.
Customized Speech Recognition System
Speech recognition software works has gathered
data about each user’s speech patterns. This
means that the software needs an introductory
learning curve; more over speech recognition is
available only in English, French, Spanish, German,
Japanese, Simplified Chinese and Traditional
Chinese.
3. MICROSOFT SAPI
The Speech Application Programming
Interface or SAPI is an application programming
interface developed by Microsoft to allow the use
of speech recognition and speech synthesis within
Windows application. The SAPI has been shifted
either as a part of a Speech Software
Development Kit (SDK) or as a part of Windows
Operating System itself. SAPI have been designed
such that a software developer speech recognition
and synthesis by using a standard set of
interfaces, accessible from a variety of
programming languages. In addition, it is possible
for a 3-rd party company to produce their own
Speech Recognition and Text-To-Speech engines
or adapt existing engines to work with SAPI. In
principle, as long as these engines conform to the
defined interfaces they can be used instead of the
Microsoft-supplied engines.
The speech API is a freely-redistributable
component which can be shipped with any
windows application that wishes to use speech
technology. Broadly the Speech API can be viewed
as an interface or piece of middleware which sits
between applications and speech engines. In SAPI
versions 1 to 4, applications could directly
communicate with engines. The API included an
abstract interference definition which applications
and engines conformed to. Applications could also
use simplified higher-level objects rather than
directly call methods on the engines. In SAPI 5
however, applications and engines do not directly
2
Customized Speech Recognition System
3. communicate with each other. Instead each talk
to a runtime component. There is an API
implemented by this component which
applications use, and another set of interfaces for
engines. Typically in SAPI 5 applications issue calls
through the API (for example to load a recognition
grammar; start recognition; or provide text to be
synthesized). The runtime component interprets
these commands and processes them, where
necessary calling on the engine interface (for
example, the loading of a grammar from a file is
done in the runtime, but then the grammar data is
passed to the recognition engine to actually use in
recognition). The recognition and synthesis
engines also generate events while processing (for
example, to indicate an utterance has been
recognized or to indicate word boundaries in the
synthesized speech). These pass in the reverse
direction, from the engines, through the runtime
component, and on to an event sink in the
application. In addition to the actual API definition
and runtime component, other components such
as API definition files, Control Panel applet,
Redistributable components are also shipped with
all versions of SAPI to make a complete Speech
Software Development Kit.
4. PROPOSED SYSTEM
The proposed variant of such a Speech
Recognition system focuses on regional languages
as well. This system can be trained as per the
regional language followed by the user. The new
grammar, which the regional language follows,
can be created to follow the voice commands. The
prepared grammar is basically a database of
words in any language along with a specific task
assigned to the word.
A tutoring stage is accomplished in the initial
installation process so that user can build up a
grammar for any language used in the system. The
Customized Speech Recognition System
system emphasises on teaching the computer how
to follow up with the voice patterns and perform
the required task. The user can specify action for
some custom words. Now, the system converts
the specified word into corresponding phonemes
using Microsoft SAPI, the Speech Application
Programming Interface and stores them in the
database along with their action forming a custom
grammar.
Hereafter whenever the microphone converts
the particular word into analog data signal, the
Microsoft SAPI does its conversion into computer
language. Simultaneously the custom grammar is
loaded into SAPI. This digitalized data is compared
with the existing stored data formats present in
the database. The associated action is identified as
the ultimate result of the word used. This action is
performed in response to the specified word.
There by making the system capable to
recognizing any language.
5. LIMITATIONS
Speech recognition applications are
different from any other kind of computers
applications. It opens up a world of possibilities
for developers, and other telephony applications,
but speech recognition also faces some
challenges. Rather than pressing buttons or
interacting with the computer screen, users must
speak to the computer. This means there will be a
level of uncertainty associated with their input, as
software mostly returns probabilities rather than
certainties. The most obvious weakness is the
possibility of misrecognition. No matter how much
effort and care is put into the development of
software, there can always be room for the
misrecognition of user input.
Customized Speech Recognition System 3
4. 6. CONCLUSION
While speech recognition software
certainly has come a long way in last 50 years,
there are people who would say the technology is
still not quite ‘there’. The programs no matter
how good they are, at times fail to produce the
matching phoneme. Conditions like having a
common cold or working while a noise source is
nearby can confuse software to produce errors.
Computers and softwares are still too vague and
easily confused compared to the human brain.
Concepts like the difference between “read” and
“red” are hard for a simple Speech Recognition
Software to differentiate, since understanding
words with in grammatical context is a very high
brain function.
Customized Speech Recognition System
Author
Thejus Joby – S6 Computer Science and
Engineering Students at St. Joseph’s College of
engineering and Technology Palai.
Customized Speech Recognition System 4