- LANGUAGE TRANSLATOR WITH VOICE RECOGNITION SOFTWARE
- LANGUAGE TRANSLATOR WITH VOICE RECOGNITION WINDOWS
LANGUAGE TRANSLATOR WITH VOICE RECOGNITION WINDOWS
And we’ve all seen smartphone apps such as Apple’s Siri and Windows Phone’s Ask Ziggy, which act on our spoken requests with often astonishing accuracy.
LANGUAGE TRANSLATOR WITH VOICE RECOGNITION SOFTWARE
You can speak a message into a smartphone and know that the software will convert it to text with an acceptable degree of accuracy. This system, and others like it, achieved acceptable results, albeit within a limited universe of spoken requests. For example, Frank Seide, a multilingual computer scientist now a senior researcher at Microsoft Research Asia, participated in a project for an automated telephone system that provided train-schedule information to German callers. Improvements in speech recognition have brought voice-activated assistants to our smartphones, such as Ask Ziggy on Windows Phone, and voice commands to our cars, such as Ford SYNC.īy the mid-1990s, things had improved markedly.
Such systems worked-sort of-in situations in which interactions between human and machine could be confined to a few repeated commands, which were often elicited by the machine, as in Say “Balance due,” “Payment date,” or “Recent transactions.” Conversely, the systems blew a linguistic fuse when a frustrated human replied with something like “I want to dispute a charge.” The error rate for recognizing speech that went outside the defined requests was unacceptably high. So it went, back in the 1980s, when computerized systems stumbled while trying to understand the simplest of spoken requests. Or say “Get my messages.”Ĭomputer: Speech and Image Processing Lab. Say “Call” or say “Send a message,” followed by a label or a number. Kim sent me a message on it.Ĭomputer: For all options, say “Help me out.” Ĭomputer: Annie here. Human: I need to find out, uh, a meeting time and place. Human: Hello, Annie, could you give me information on a meeting I have tomorrow?Ĭomputer: What was that?
Just to refresh your memory, though, here’s an actual log of a conversation between a human being and a computerized helper named “Annie”: Anyone over the age of 30 undoubtedly will recall the days of frustratingly imperfect speech recognition. Underlying it all are breakthroughs in machine learning, particularly the development of computer-based “deep neural networks.” Start with speech recognitionĮverything starts with the ability of your computing device to understand what you’re saying. All this will be made possible by combining three key pieces of technology: speech recognition, language translation, and speech synthesis.