Parallel WaveNet: Fast High-Fidelity Speech Synthesis — mentioned by rhdunn

Fri, 16 Jan 2026 10:21:13 GMT

Using neural nets (machine learning) to train TTS voices has been around a long time. [1] (2016 https://arxiv.org/abs/1609.03499) WaveNet: A Generative Model for Raw Audio [2] (2017 https://arxiv.org/abs/1711.10433) Parallel WaveNet: Fast High-Fidelity Speech Synthesis [3] (2021 https://arxiv.org/abs/2106.07889) UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation [4] (2022 https://arxiv.org/abs/2203.14941) Neural Vocoder is All You Need for Speech Super-resolution

Paper and discussion history. A mention is not an endorsement.

Parallel WaveNet: Fast High-Fidelity Speech Synthesis — mentioned by nschucher

Thu, 17 May 2018 20:11:44 GMT

They have published multiple major TTS papers since the original WaveNet paper in 2016. Including the recent Tacotron results with impressive style control. Tacotron (Mar. 2017): https://arxiv.org/abs/1703.10135 Parallel WaveNet (Nov. 2017): https://arxiv.org/abs/1711.10433 Tacotron again (Mar 2018): https://arxiv.org/abs/1803.09017 Tacotron 2 audio samples: https://google.github.io/tacotron/publications/global_style_...

Paper and discussion history. A mention is not an endorsement.

Parallel WaveNet: Fast High-Fidelity Speech Synthesis · HackerPapers discussions

Parallel WaveNet: Fast High-Fidelity Speech Synthesis — mentioned by rhdunn

Parallel WaveNet: Fast High-Fidelity Speech Synthesis — mentioned by nschucher