Controllable Emphasis with zero data for text-to-speech
Arnaud Joly,
Marco Nicolis,
Ekaterina Peterova
et al.
Abstract:We present a scalable method to produce high quality emphasis for text-to-speech (TTS) that does not require recordings or annotations. Many TTS models include a phoneme duration model. A simple but effective method to achieve emphasized speech consists in increasing the predicted duration of the emphasised word. We show that this is significantly better than spectrogram modification techniques improving naturalness by 7.3% and correct testers' identification of the emphasized word in a sentence by 40% on a re… Show more
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