Chincustomised silicone wristbands indiaese scientists try to create "perfect listener"
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I appreciate the meaning from the the bible says however i do not understand systems words.I basically should say I use meditation to just talk to god.I have faith that the way I in order to god is similar way people may pray to god. I went to church today along with the minister was talking about another minister that liked to tell everyone he knew about everything he"s done good in his life. He bragged any that he really was missing the in order to listen as to the the folks his church needed. Perhaps you could say although he preached an excellent sermon and did everything a minister should do,He just really couldn"t note that his pride was taking up his .
Eighth: Not really try involve all sorts of items to market? You could hold a particular sale for numerous solutions that are pink or have a connection with awareness causes or the Susan F. Komen Foundation.
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BEIJING -- Imagine walking on the street as two women in front of you chat about a new shop, a dog barks behind you, and a police siren wails on the corner.
You turn towards the police car to see what"s happening. When the siren fades out, you realize that the dog is still barking and passersby are still chatting.
Unknowingly you have found a solution to a problem that has evaded computers for more than half a century: the cocktail party effect.
The cocktail party effect is the phenomenon of the brain"s ability to focus one"s auditory attention on a particular stimulus while filtering out a range of other stimuli, as when a party-goer focuses on a single conversation in a noisy room. Listeners have the ability to segregate different stimuli into different streams, and subsequently decide which streams are most pertinent to them.
This ability is innate to humans, but alien to computers. Scientists have spent decades trying different approaches to give computers that ability.
Now researchers at the Institute of Automation of the Chinese Academy of Sciences are closer to solving the problem by developing a deep neural network.
They have designed an auditory attention selection model that enables computers to single out useful audio signals from interference signals.
If computers can master the cocktail party effect, it would have a wide range of potential uses.
For instance, we could tell our destination to the automatic ticket machine in a noisy subway, and buy a ticket immediately. Or you could order a robot in the kitchen to bring you a cup of tea when you are watching the TV up loud.