Sentence examples for voice synthesis from inspiring English sources
Most instruments can be synthesised well," says Matt. "But convincing voice synthesis is totally eluding us.
The entire exchange took about five seconds, and combined state-of-the-art speech recognition, voice synthesis, and machine translation.
Voice synthesis techniques are implemented to enable the face robot to sing songs by enunciating synthesized sounds.
This seven-minute situation is a simulation, generated on a large computer screen with sophisticated animation, voice synthesis and voice recognition technology.
The company also touts its research into speech recognition, voice synthesis and even gesture recognition as steps that will make computing simpler.
The on-screen icons, representing various demographic groups and using the latest in voice synthesis, will give you a polite reminder that it's not right to make quotation signs with your hands, or wink, when you say the word "revenue".
Some also provide access to personalized communications, like concierge services or on-demand voice-synthesis stock quotations.
The second update is to make the voice-recognition and voice-synthesis parts of Google Translate recognise languages, instantly convert spoken words into text, translate the text, and then say the words in the target language.
General Motor's OnStar telematics service, which has more than a million subscribers, allows users to choose from a menu of information that can be delivered using voice-activation and voice-synthesis technology, including news, stock quotations, weather reports and e-mail.
In other industries, we have such examples as Honeywell-Ericsson in communications, Sharp-Olivetti in office automation equipment, and Philips-Siemens in voice-synthesis technology.8 Intercompany networking offers a superior means for securing entry and operating clout in otherwise blocked markets.
In the past couple of years the Defence Advanced Research Projects Agency (DARPA), an American military research body, has been testing a number of projects that cram a combination of speech-recognition, machine-translation and voice-synthesis software into a handheld device.
