Speech Recognition Quotes

I am just as deaf as I am blind. The problems of deafness are deeper and more complex, if not more important than those of blindness. Deafness is a much worse misfortune. For it means the loss of the most vital stimulus- the sound of the voice that brings language, sets thoughts astir, and keeps us in the intellectual company of man.

Literally every single sliver of technology that makes the iPhone a smartphone instead of a stupidphone - internet, GPS, touchscreen, battery, hard drive, voice recognition - was developed by researchers on the government payroll.

By developing deep learning solutions that are faster, easier, and less expensive to use, Nervana is democratizing deep learning and fueling advances in medical diagnostics, image and speech recognition, genomics, agriculture, finance, and eventually across all industries.

The two things I'm most excited about are self-driving cars and speech. Speech doesn't sound like that much, but it's one of those technologies with the potential to change everything. Steve Jobs didn't invent the touch screen. He just made it work very well, and that's changed everything.

My little computer said such a funny thing this morning.

Language is too complex for a computer to understand. It's not going to be able to make sense of what people are saying en masse. We need a new type of discipline that puts together computer scientists and social scientists, who can add context to the situation.

Hey, yummy leather guy? Can you hear me? (Amanda)

Are you then unable to recognize unless it has the same sound as yours?

I can hear you and I can watch your mouth move, and then I put together the sounds and the visual image, and I can understand the words as I integrate the two signals.

I think MTV should consider using subtitles. Half the time, even I can't understand what the fu*k I'm talking about.

Artificial intelligence is one of 50 things that Watson does. There is also machine learning, text-to-speech, speech-to-text, and different analytical engines - they're like little Lego bricks. You can put intelligence in any product or any process you have.

I'm working on artificial intelligence. Actually, natural language understanding, which is to get computers to understand the meaning of documents.

Speech recognition today doesn't really work in noisy environments.

It is the children between five and seven who are the word-lovers. It is they who show a predisposition toward such study. Their undeveloped minds can not yet grasp a complete idea with distinctness. They do, however, understand words. And they may be entirely carried away by their ecstatic, their tireless interest in the parts of speech.

I remember the beginnings of the Kurzweil reading machine. I was one of the first to meet Ray Kurzweil and purchase the reading machine in Boston. To think that the machine was at least two and a half large suitcases at the time, and now you have a camera and it takes a picture and you have sound.

When I was building robots in the early 1990s, the problems of voice recognition, image understanding, VOIP, even touchscreen technologies - these were robotics problems.

Big companies, which spend tens of billions of dollars annually on 'call centers' to take orders and provide customer support, increasingly rely on speech recognition not just to handle requests for information but to process customer orders.

Why on earth should I care whether people read me with their eyes or their ears?

Computers will understand sarcasm before Americans do.

Humans are still much better than computers at recognizing speech.

I no longer remember when I started speaking to Raffi in Russian. I didn't speak to him in Russian when he was in his mother's womb, though I've since learned that this is when babies first start recognizing sound patterns.

Deep learning is already working in Google search and in image search; it allows you to image-search a term like 'hug.' It's used to getting you Smart Replies to your Gmail. It's in speech and vision. It will soon be used in machine translation, I believe.

My worst personal problem is that my computer doesn't understand me.

I talk to my typewriter and that is what I've been working on for 40 years-how to write for talking.

What I was proud of was that I used very few parts to build a computer that could actually speak words on a screen and type words on a keyboard and run a programming language that could play games. And I did all this myself.