  We present software that, in only a few hours, transcribes forty hours of
recorded speech in a surprise language, using only a few tens of megabytes of
noisy text in that language, and a zero-resource grapheme to phoneme (G2P)
table. A pretrained acoustic model maps acoustic features to phonemes; a
reversed G2P maps these to graphemes; then a language model maps these to a
most-likely grapheme sequence, i.e., a transcription. This software has worked
successfully with corpora in Arabic, Assam, Kinyarwanda, Russian, Sinhalese,
Swahili, Tagalog, and Tamil.
