jm + recognition   4

Targeted Audio Adversarial Examples
This is phenomenal:
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.

The audio examples on this page are impressive -- a little bit of background noise, such as you might hear on a telephone call with high compression, hard to perceive if you aren't listening out for it.

Paper here: https://arxiv.org/abs/1801.01944

(Via Parker Higgins, https://twitter.com/xor )
papers  audio  adversarial-classification  neural-networks  speech-to-text  speech  recognition  voice  attacks  exploits  via:xor 
25 days ago by jm
Shapecatcher: Draw the Unicode character you want!
'This is a tool to help you find Unicode characters. Finding a specific character whose name you don't know is cumbersome. On shapecatcher.com, all you need to know is the shape of the character!' Handy.
shapes  drawing  unicode  characters  language  recognition  web 
may 2014 by jm
simon listens
open-source speech recognition for Linux and Windows. must give this a go! (Via Alexander Seewald)
speech-recognition  floss  free-software  kde  speech  recognition  linux  audio  accessibility  from delicious
october 2010 by jm
Technology to track trad
TunePal -- "Shazam for trad". play it a live traditional Irish, Scots, Welsh, Breton, Old Time American, Canadian or Appalachian trad tune on the iPhone, and it'll link to the tune's name, history, discography, and where it's been played, based on melodic similarity with a 93% accuracy
trad  irish  via:klillington  music  recognition  machine-learning  from delicious
july 2010 by jm

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