Patent ID: 8949126
Filing Date: 2015-02-03
Classification: G06F,G10L,H04L,H04M

Abstract:
1. A method of constructing and training a statistical language model (SLM) to identify machine utterances of text in a system for audio Completely Automated Public Turing Tests to Tell Computers and Humans Apart (CAPTCHA), comprising: automatically preparing a plurality of candidate challenge items with a computing system, each of the candidate challenge items including one or more words or phrases selected from a document corpus; causing selected ones of the plurality of candidate challenge items to be articulated by at least one machine text-to-speech (TTS) system as candidate articulations; ranking the candidate articulations based on a human listener score attributed to such candidate articulations, which human listener score identifies at least whether a candidate articulation originated from a machine; and training the SLM to recognize machine TTS articulations based on selecting candidate articulations according to said ranking, such that a subset of said plurality of candidate challenge items identified as originating from a machine are used as a seed set in spoken CAPTCHA.