DurIAN replaces end-to-end attention with a duration model in a Tacotron-style decoder, matching Tacotron 2 naturalness (MOS 4.26 vs 4.28) with 0% word skip/repeat errors, and adds a multi-band WaveRNN speedup and style scaling.
Natural tts synthesis by conditioning wavenet on mel spectrogram predictions,
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DurIAN: Duration Informed Attention Network For Multimodal Synthesis
DurIAN replaces end-to-end attention with a duration model in a Tacotron-style decoder, matching Tacotron 2 naturalness (MOS 4.26 vs 4.28) with 0% word skip/repeat errors, and adds a multi-band WaveRNN speedup and style scaling.