We have constructed targeted audio adversarial examples on speech-to-text transcription neural networks: given an arbitrary waveform, we can make a small perturbation that when added to the original waveform causes it to transcribe as any phrase we choose.

In prior work, we constructed hidden voice commands, audio that sounded like noise but transcribed to any phrases chosen by an adversary. With our new attack, we are able to improve this and make an arbitrary waveform transcribe as any target phrase.

An Irish veterinarian with degrees in history and politics has been unable to convince a machine she can speak English well enough to stay in Australia.

Louise Kennedy is a native English speaker, has excellent grammar and a broad vocabulary. She holds two university degrees – both obtained in English – and has been working in Australia as an equine vet on a skilled worker visa for the past two years.

But she is now scrambling for other visa options after a computer-based English test – scored by a machine – essentially handed her a fail in terms of convincing immigration officers she can fluently speak her own language.

This project demonstrates how to get a natural language recognizer up and running and connect it to the Google Assistant. Along with everything the Google Assistant already does, you can add your own question and answer pairs. All in a handy little cardboard cube, powered by a Raspberry Pi.

The sounds came first — as experiments in vocalization — and parents adopted them as pet names for themselves.

If you open your mouth and make a sound, it will probably be an open vowel like /a/ unless you move your tongue or lips. The easiest consonants are perhaps the bilabials /m/, /p/, and /b/, requiring no movement of the tongue, followed by consonants made by raising the front of the tongue: /d/, /t/, and /n/. Add a dash of reduplication, and you get mama, papa, baba, dada, tata, nana.

That such words refer to people (typically parents or other guardians) is something we have imposed on the sounds and incorporated into our languages and cultures; the meanings don’t inhere in the sounds as uttered by babies, which are more likely calls for food or attention.