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20172025
most citedWhispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks

2 citations · 6 across the 8 of their papers we have counts for

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Showing 2023Show all

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eess.AS2023

Controllable Emphasis with zero data for text-to-speech

Arnaud Joly, Marco Nicolis, Ekaterina Peterova +11

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 m…