3 ms·
Quoting the paper, in the section related works: "WaveNet (van den Oord et al., 2016) is a powerful generative model of audio. It works well for TTS, but is sl
by stevenhuang 10y ago
Quoting the paper, in the section related works:
"WaveNet (van den Oord et al., 2016) is a powerful generative model of audio. It works well for TTS,
but is slow due to its sample-level autoregressive nature. It also requires conditioning on linguistic
features from an existing TTS frontend, and thus is not end-to-end: it only replaces the vocoder and
acoustic model. Another recently-developed neural model is DeepVoice (Arik et al., 2017), which
replaces every component in a typical TTS pipeline by a corresponding neural network. However,
each component is independently trained, and it’s nontrivial to change the system to train in an
end-to-end fashion."