Collaborate Disseminate
While you’d be hard pressed to find any startup not brimming with confidence over the disruptive idea they’re chasing, it’s not often you come across a young company as calmly convinced it’s engineering the future as Dasha AI. The team is building a platform for designing human-like voice interactions to automate business processes. Put simply, […] Continue reading Dasha AI is calling so you don’t have to
Using AI, someone made a very haunted video of Jordan Peterson rapping “Lose Yourself.” Continue reading Machine Learning Can Make Jordan Peterson Rap Like Eminem
[pepelepoisson]’s Miroir Magique (“Magic Mirror”) is an interesting take on the smart mirror concept; it’s intended to be a playful, interactive learning tool for kids who are at an age where language and interactivity are deeply interesting to them, but whose ceaseless demands for examples of spelling and writing can be equally exhausting. Inspiration came from his own five-year-old, who can neither read nor write but nevertheless has a bottomless fascination with the writing and spelling of words, phrases, and numbers.
The magic is all in the simple interface. Magic Mirror waits for activation (a simple pass of the hand …read more
Continue reading Magic Mirror Tirelessly Indulges Children’s Curiousity
First Google gradually improved its WaveNet text-to-speech neural network to the point where it sounds almost perfectly human. Then they introduced Smart Reply which suggests possible replies to your emails. So it’s no surprise that they’ve announced an enhancement for Google Assistant called Duplex which can have phone conversations for you.
What is surprising is how well it works, as you can hear below. The first is Duplex calling to book an appointment at a hair salon, and the second is it making reservation’s with a restaurant.
http://www.gstatic.com/b-g/DMS03IIQXU3TY2FD6DLPLOMBBBJ2CH188143148.mp3
http://www.gstatic.com/b-g/KOK4HAMTAPH5Z96154F6GKUM74A3Z1576269077.mp3
Note that this reverses the roles when talking to a computer …read more
Continue reading Google’s Duplex AI Has Conversation Indistinguishable From Human’s
We can almost count on our eyesight to fail with age, maybe even past the point of correction. It’s a pretty big flaw if you ask us. So, how can a person with aging eyes hope to continue reading the printed word?
There are plenty of commercial document readers available that convert text to speech, but they’re expensive. Most require a smart phone and/or an internet connection. That might not be as big of an issue for future generations of failing eyes, but we’re not there yet. In the meantime, we have small, cheap computers and plenty of open source …read more
With the launch of Bixby and reports that Samsung is building its own competitor to Amazon’s Echo, the consumer electronics giant has now made an acquisition that could help power its next generation of voice-powered services. Samsung has acquired Innoetics, a startup out of Greece that has developed text-to-speech and voice-to-speech technology that can, among other things, listen to… Read More Continue reading Samsung quietly acquires Greek text-to-speech startup Innoetics for under $50M
Stephen Hawking, although unable to speak himself, is immediately recognizable by his voice which is provided through a computer and a voice emulator. What may come as a surprise to some is that this voice emulator, the Emic2, has been used by many people, and is still around today and available for whatever text-to-speech projects you are working on. As a great example of this, [TegwynTwmffat] has built a weather forecasting station using an Emic2 voice module to provide audible weather alerts.
Besides the unique voice, the weather center is a high quality build on its own. An Arduino Mega …read more
Speech synthesis is nothing new, but it has gotten better lately. It is about to get even better thanks to DeepMind’s WaveNet project. The Alphabet (or is it Google?) project uses neural networks to analyze audio data and it learns to speak by example. Unlike other text-to-speech systems, WaveNet creates sound one sample at a time and affords surprisingly human-sounding results.
Before you rush to comment “Not a hack!” you should know we are seeing projects pop up on GitHub that use the technology. For example, there is a concrete implementation by [ibab]. [Tomlepaine] has an optimized version. In addition …read more
Speech synthesis is nothing new, but it has gotten better lately. It is about to get even better thanks to DeepMind’s WaveNet project. The Alphabet (or is it Google?) project uses neural networks to analyze audio data and it learns to speak by example. Unlike other text-to-speech systems, WaveNet creates sound one sample at a time and affords surprisingly human-sounding results.
Before you rush to comment “Not a hack!” you should know we are seeing projects pop up on GitHub that use the technology. For example, there is a concrete implementation by [ibab]. [Tomlepaine] has an optimized version. In addition …read more
Talking to computers is all the rage right now. We are accustomed to using voice to communicate with each other, so that makes sense. However, there’s a distinct difference between talking to a human over a phone line and conversing face-to-face. You get a lot of visual cues in person compared to talking over a phone or radio.
Today, most voice-enabled systems are like taking to a computer over the phone. It gets the job done, but you don’t always get the most benefit. To that end, [Youness] decided to marry an OLED display to his Alexa to give visual …read more
