Training a CTC-based aligner on Mel-spectrograms and using its durations to train StyleSpeech reduces word error rate from 0.361 to 0.199 compared with using external Montreal Forced Aligner durations.
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,
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Aligner-Guided Training Paradigm: Advancing Text-to-Speech Models with Aligner Guided Duration
Training a CTC-based aligner on Mel-spectrograms and using its durations to train StyleSpeech reduces word error rate from 0.361 to 0.199 compared with using external Montreal Forced Aligner durations.