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Voice Control Powering Distribution Efficiency

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jonsiders
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Voice in High Noise Environments- Available today
jonsiders   10/11/2012 4:09:52 PM
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There are many voice applications but to be truly successful in a high noise environment you have to have a speaker dependant engine.  Voxware, Inc. has developed a specific voice recognition engine that is trained on a specific person's voice.  It takes 20 minutes of training the system just one time, then keeps a profile of that persons speaking on their voice only wearable.  As soon as they log in by saying their name in the headset, their voice can be heard in airplane loud background noise.  So this allows voice applications in noisy freezers and manufacturing facilities, near forklifts, near conveyer belts, or any other high noise environments.  

Voice with Voxware has been used in food distributors, retail clothing warehouses, restaurants, automotive parts and manufacturing, paint manufacturers, drug manufacturers, grocery stores, 3PL's, Publishing, and dairies.  We have the leading food distributors and auto parts companies in the nation currently using our technology in every distribution center they own.  

www.voxware.com

Douglas Alexander
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Re: Where else is this used?
Douglas Alexander   9/28/2012 10:55:49 PM
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@Stochastic, fascinating. I am going to research Markov to get on the learning curve. Thank you for the comprehensive response.

stochastic excursion
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Re: Where else is this used?
stochastic excursion   9/28/2012 9:27:57 PM
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Voice recognition is a vast field; the academic disciplines that go into it are deep and wide, and a big chunk of the advances made are by countless small research centers, both public and private.   The general approach as I understand it is taking the amplitude envelope of common vocalizations, along with the audio spectrum content of these sounds, and getting statistical signatures for the waveforms and peaks in the audio spectrum.  

Fundamentally, speech waveforms are modeled using Markov statistics.  Like Gaussian statistics that predict the shape of a bell curve, Markov statistics can reduce the description of speech to a few parameters, which turn out to be quite unique for a given speaker.  

Beyond this, each development group has its own recipe for how it refines the recogition algorithms.  I'm sure additional spectral correlation goes into it.  A good source for finding out where the research is at in this area is the SBIR award announcements (for instance, http://www.sbir.gov/sbirsearch/detail/156489)

Douglas Alexander
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Re: Now hear this
Douglas Alexander   9/28/2012 11:10:23 AM
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@Barbara, When the Manufacturing System software sends a command and the recipient performs the task, there is a confirmation input via a voice response from the picker. As soon as that confirmation response is received, the software updates the database record and time and date stamps the transaction in real time. So records are updated immediately with an ideal audit trail, including the picker's name and action type.

Douglas Alexander
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Re: Where else is this used?
Douglas Alexander   9/28/2012 11:05:15 AM
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@Stochastic, the would seem like the response to t. alex's comment about working in a noisy environment. Does the solution you describe start with voice recognition or side band cancellation techniques. Can you write a bit more on this technology? When people get stressed, their voices tend to modulate up. Please write more on this. Thanks!

Douglas Alexander
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Re: Where else is this used?
Douglas Alexander   9/28/2012 11:00:32 AM
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@Mr.Roques, With common language and open architectures being increasing introduced into the world of automation, it isn't hard to find or create the API (Application Program Interface) that will tie the physical equipment to the voice technologies. Having said that, the winner of the biggest piece of the pie will be the company that can interface with the most equipment already in play. And, set the standard for the interfacing protocols.

Douglas Alexander
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Re: Where else is this used?
Douglas Alexander   9/28/2012 10:55:09 AM
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@Bolaji, Recently I have been following a company called "Rethink Robots." They have a product being released now that can take instruction without a software program direct application. By showing the robot what to do, the robot, Baxter, learns and repeats the action and hones its skills as it is learning. With voice to text technology, I can see where it won't be long before this technology will merge with robots that could be assigned to flexible assembly lines. Japan has a series of robots that respond to human voice prompts and so it is possible already for a robot to "hear" a voice command and respond with a physical gesture. With super computers handling billions of instructions per second, how soon until we see AI in assembly lines is a question that will soon find an answer. Voice responsive robotic movements should be on the common scene in less than 3 years.

Mr. Roques
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Re: Where else is this used?
Mr. Roques   9/26/2012 12:05:27 PM
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So the company only provides the technology for the voice recognition? not the automation? I can see how not having the right coordination might bring a big set of problems.

stochastic excursion
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Re: Where else is this used?
stochastic excursion   9/22/2012 8:29:54 PM
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Voice recognition technology has been around for quite a while and the wizardry involved has given rise to some remarkable capabilities.  Software being pioneered today for air-traffic control and other aviation applications can filter out a single speaker from a crowd, even where the speaker's voice is affected by stress or illness.

t.alex
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Re: Where else is this used?
t.alex   9/21/2012 8:28:54 PM
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In the manufacturing area, I think it's a bit tough due to the noisy working environment.

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