my learned access indians friends,
do you think this speech recognisation software may be useful in sms 
services?
it may be useful for a t m operation. we can speak and send sms.
this is the direction where experts can lead us.
with best regards.
gajendra.
----- Original Message ----- 
From: "Renuka Warrier" <[email protected]>
To: <[email protected]>
Sent: Sunday, May 24, 2009 7:06 AM
Subject: [AI] Speech recognition software that bridges the digital divide




Date:24/05/2009 URL: 
http://www.thehindu.com/2009/05/24/stories/2009052456131500.htm

National

Speech recognition software that bridges the digital divide

Ramya Kannan

User has to only call out his option instead of keying it in

--------------------------------------------------------------------------------

Firm claims 90 per cent success of the software

The service is now available in 11 Indian languages

--------------------------------------------------------------------------------

CHENNAI: One child's game is another man's impediment. In technology, what's 
easy for some can be completely obfuscating for others. Even if it is as 
basic
as sending a Short Message Service (SMS).

A recent survey by a mobile service provider showed that over 65 per cent of 
their subscribers, who sought to subscribe to a particular service, never 
got
it because they were frustrated with the process of sending an SMS to 
activate it. With mobile telephony reaching out to the semi-urban and rural 
markets,
voice is the primary service; SMS usage may be minimal. This is where 
interactive voice response (IVR), in a more sophisticated avatar, steps in.

Speech recognition is going to be the medium to bridge the digital divide 
says C. Mohan Ram, Managing Director, LatticeBridge Infotech (LBT).

The company has been in the computational linguistics segment over the last 
seven years, developing regional language recognition software with 
customisations
built in for speech inflexions.

How different is their service from a regular IVR software? "Most IVR 
systems require a user to press certain keys on the phone or send an SMS for 
fulfilling
his/her request. If someone is not comfortable with that, then IVR fails," 
Mr. Mohan Ram says. Sometimes, users are not comfortable with using English
letters to tap out on their keypads. Instead, speech recognition only 
requires a user to call out his option (instead of keying it in) to get the 
answer.

For instance, if you call for information about the status of your ticket's 
PNR number, you will not have to punch out the digits and letters on the 
phone,
just say them aloud. The software recognises your voice and gives you the 
answer. The service is currently available in 11 Indian languages with a 
fair
degree of customisation for accent and dialect variances.

"The crucial indicator of success of such software - First Attempt 
Recognition - is fantastic for our product. Having 80 per cent means the 
product is good.
We have about 90 per cent," he explained.

Speech recognition also has an advantage for the service provider. In a 
customer-provider interface, the ideal way is to use people, but that may 
not always
be possible because of cost and human resource considerations. The next 
best, obviously, is automated speech. Intelligent, at that. Currently, 
speech recognition
has uses in four segments - telecom sector, travel, logistics and transport 
sectors, banking and financial sectors and media and entertainment industry.


A. Mani, Manager - IS, Indian Oil Corporation, says the company has been 
using the speech software since 2005 for their dealers. "All our dealers 
have to
do is to call a centralised toll-free number for details about billing, 
vehicle number and document number. They are very comfortable with it."

Southern Railways, which first used a Tamil speech recognition software in 
the public domain for a record number of users, was happy with the product. 
T.
Venkatasubramanian, General Manager, CRIS, Indian Railways, who helped put 
in place the system initially, says, "IVR is one of the most unfriendly 
systems.
It does not help the technologically challenged and it is also a dumb 
system. If it malfunctions there is nothing we can do. So, speech 
recognition was
a good option for us."

Another key area in which the software is likely to be useful is in human 
resource development. A. Chandrasekaran, founder, Infycareer, says LBT's 
product
helps his firm, which is a high-end consulting and training organisation, 
separate the wheat from the chaff. "We use the human interface only at a 
more
advanced stage in the process."


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