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Connectionist Temporal Classification (CTC) trains sequence models when input frames are available but frame-to-label alignment is unknown.
Déglul tegtal biiIA-nettali · ~2 min
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Résumé
It sums over possible paths that collapse to the target sequence.
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Graves et al. introduce CTC for unsegmented sequence labeling. The model predicts a distribution over labels plus blank at each input time step; CTC defines a many-to-one map from frame-level paths to target sequences and sums probabilities over all paths that collapse to the target. The approach avoids explicit alignment labels but assumes conditional independence of output distributions across time steps given the input representation.
Doxal ci àdduna dëgg
Speech frames can be aligned to a transcript without manually labeling each frame.
A blank symbol allows separation between repeated output labels.
CTC collapses repeated labels and then removes blank symbols to form an output.
Beam search with a language model can combine acoustic path scores and linguistic context.
Ëlëgu Xaajale Temporal Koneksionist
Use CTC when unaligned sequence labels are available and the independence assumption is acceptable. Compare greedy and beam decoding on the target vocabulary and language model. The cited paper does not imply CTC is ideal for all streaming or sequence-transduction tasks.
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Take the Connectionist Temporal Classification quiz
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What is Connectionist Temporal Classification?
Connectionist Temporal Classification (CTC) trains sequence models when input frames are available but frame-to-label alignment is unknown. It sums over possible paths that collapse to the target sequence.
Ban jafe-jafe bu mag lañu tëral ngir saafara CTC ngir xàmmee kàddu yi?
CTC dafay may reso bi mu tàggat ci (audio, bind) ñaar te kenn duko wax ban kadre moo méngoo ak ban araf, loolu mooy saafara jafe-jafe alignment bi.
Lan lañuy jëfandikoo token 'blank' bi ci CTC?
Jeton bu amul dara dafay may model bi mu génne 'dara lu bees' ci benn kaadar, te, ci anam wu ñaaw, dafay tàqale baamtu yu dëggu yi melni ñaari-L ci 'nanga def' ak baamtu yu daanu.
naka la CTC di xaymaa perte bi ci transkripsioŋ biñ bëgga am?
CTC defines the target probability as the sum of probabilities of all frame-level paths that collapse to the target transcription. Dynamic programming computes this sum efficiently; the recurrence is a separate computational detail.
Lan mooy ñaari sàrt yi CTC di jëfandikoo ngir soppi yoonu kaadar ci bind bu mujj?
Benn yoon bu ñor ci kaadar bu nekk dañu koy dekode ci boole ñaari araf yu dendoo ba noppi dindi bépp token bu amul dara.
Ban xalaat bu yomb la CTC standard def ci ay génnam?
CTC dafay xalaat moomel sa bopp bu nekk ci kaadar bi, loolu mooy tax summasioŋ bi yomb waaye loolu dafay tekki ni amul benn xeetu làkk buñ tabax ci biir.
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