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Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

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Limitations

The main contribution of Tacotron is undoubtedly the provision of an end-to-end deep learning-based TTS system that is intelligible and decently natural. Indeed, Tacotron's naturalness is assessed through the MOS, and is compared with a state-of-the-art parametric system and a state-of-the-art concatenative system (the same as in the WaveNet paper). Even though it remains less natural than the latter, it beats the former. Note that the MOS was assessed on a North American English dataset:

North American English MOS

Tacotron

3.82 ± 0.085

Parametric

3.69 ± 0.109

Concatenative

4.09 ± 0.119

However, it is important to keep in mind that Tacotron is characterized by many simplistic design choices. For instance, ...

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