Category Archives: speech to text

Magic Mirror Tirelessly Indulges Children’s Curiousity

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[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

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Control Alexa Echo from anywhere in the World

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If you are not within ear-shot of your Alexa Echo, Dot or Tap device and need to command it from anywhere in the world, you’d most likely use the handy mobile app or web interface to control it. For some strange reason, if you’d rather use voice commands from anywhere in the world, you can still do it using apps such as Alexa Listens or Reverb, among many others. We’d be the first ones to call these out and say “It’s not a hack”. But [pat dhens] approach is above reproach! He has posted details on how to Remote Control …read more

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Talking Neural Nets

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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

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Talking Neural Nets

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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

Continue reading Talking Neural Nets→