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Forced alignment for speech synthesis traditionally aligns a phoneme sequence predetermined by the front-end text processing system. This sequence is not altered during alignment, i.e., it is forced, despite possibly being faulty. The consistency assumption is the assumption that these mistakes do not degrade models, as long as the mistakes are consistent across training and synthesis. We present evidence that in the alignment of both standard read prompts and spontaneous speech this phonemedoi:10.1109/icassp.2016.7472660 dblp:conf/icassp/DallBRVHHYK16 fatcat:my6bkr3r6fdb3idder2vdw6l5a