Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis — HN submission

Tue, 11 Jun 2019 20:31:44 GMT

Analyzing latent embedding capacity in Tacotron, Google's seq2seq TTS model

Research paper: https://arxiv.org/abs/1906.03402 Audio examples: https://google.github.io/tacotron/publications/capacitron/ Capacitron is the Tacotron team's most recent contribution to the world of expressive end-to-end speech synthesis (e.g., transfer and control of prosody and speaking style). Our previous Style Tokens and prosody transfer work implicitly controls reference embedding capacity by modifying the encoder architecture, thereby targeting a trade-off between text-specific transfer fidelity and text-agnostic style generality. Capacitron treats embedding capacity as a first class…

6 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.

Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis · HackerPapers discussions

Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis — HN submission