Breaking News
Comments
Newest First | Oldest First | Threaded View
mememe33T
User Rank
Author
re: Voice input processing for automotive speech recognition systems
mememe33T   2/14/2013 10:38:20 PM
NO RATINGS
I have to say, it's very interesting. Right now, I think MeMeMe Mobile (www.memememobile.com) is a new entrant into this vast new field, and it's pretty promising. Come check it out for a few minutes, or sign up under the development track. Peter

Mapou
User Rank
Author
re: Voice input processing for automotive speech recognition systems
Mapou   8/18/2012 5:09:23 PM
NO RATINGS
Sverrir, as impressive as Conexant's SSP research appears to be, I'm afraid that this is not going to cut it in the end. The market doesn't want noise-tolerant speech recognition systems that make preprogrammed assumptions about the environment in which they are used. The market wants speech technologies that are as noise-tolerant and versatile as the human brain or better. Personally, I want to be able to talk to my car even when I'm standing next to it. I want to tell it to open, close or lock the doors, any door; or open the trunk. Any company that can deliver this technology will make a killing. * It has been obvious for some time that the human brain does not use anything like Bayesian statistics (HMM) to process sounds or anything else. This is the fundamental problem with machine recognition. What is needed is a revolution in our understanding of how humans and animals recognize sounds. Everybody in AI has jumped on the Bayesian bandwagon just as they once jumped on the symbolic bandwagon in the 1950s only to be proven wrong half a century later. * In spite of its current success, the hidden Markov model is not it. SR researchers need to start thinking outside the box in my opinion. I say, get off the bandwagon because it's going nowhere. There's a better way, the correct way, and, as we all know, there's a fabulous prize waiting at the end of the road.



Datasheets.com Parts Search

185 million searchable parts
(please enter a part number or hit search to begin)
Radio
LATEST ARCHIVED BROADCAST

What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.

Brought to you by:

Like Us on Facebook
Special Video Section
Once the base layer of a design has been taped out, making ...
In this short video we show an LED light demo to ...
The LTC2380-24 is a versatile 24-bit SAR ADC that combines ...
In this short video we show an LED light demo to ...
02:46
Wireless Power enables applications where it is difficult ...
07:41
LEDs are being used in current luxury model automotive ...
With design sizes expected to increase by 5X through 2020, ...
01:48
Linear Technology’s LT8330 and LT8331, two Low Quiescent ...
The quality and reliability of Mill-Max's two-piece ...
LED lighting is an important feature in today’s and future ...
05:27
The LT8602 has two high voltage buck regulators with an ...
05:18
Silego Technology’s highly versatile Mixed-signal GreenPAK ...
The quality and reliability of Mill-Max's two-piece ...
01:34
Why the multicopter? It has every thing in it. 58 of ...
Security is important in all parts of the IoT chain, ...
Infineon explains their philosophy and why the multicopter ...
The LTC4282 Hot SwapTM controller allows a board to be ...
This video highlights the Zynq® UltraScale+™ MPSoC, and sho...
Homeowners may soon be able to store the energy generated ...
The LTC®6363 is a low power, low noise, fully differential ...