Bridge-net is an audio model block used in the ClariNet text-to-speech architecture. Bridge-net maps frame-level hidden representation to sample-level through several convolution blocks and transposed convolution layers interleaved with softsign non-linearities.

Source: ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech

Latest Papers

PAPER DATE
Learning from a Complementary-label Source Domain: Theory and Algorithms
Yiyang ZhangFeng LiuZhen FangBo YuanGuangquan ZhangJie Lu
2020-08-04
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
| Yiyang ZhangFeng LiuZhen FangBo YuanGuangquan ZhangJie Lu
2020-07-29
CLARINET: A RISC-V Based Framework for Posit Arithmetic Empiricism
Riya JainNiraj SharmaFarhad MerchantSachin PatkarRainer Leupers
2020-05-30
Multi-Speaker End-to-End Speech Synthesis
Jihyun ParkKexin ZhaoKainan PengWei Ping
2019-07-09
Non-Autoregressive Neural Text-to-Speech
| Kainan PengWei PingZhao SongKexin Zhao
2019-05-21
Neural source-filter waveform models for statistical parametric speech synthesis
Xin WangShinji TakakiJunichi Yamagishi
2019-04-27
FloWaveNet : A Generative Flow for Raw Audio
Sungwon KimSang-gil LeeJongyoon SongSungroh Yoon
2018-11-06
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
| Wei PingKainan PengJitong Chen
2018-07-19

Tasks

TASK PAPERS SHARE
Speech Synthesis 3 37.50%
Domain Adaptation 2 25.00%
Unsupervised Domain Adaptation 2 25.00%
Text-To-Speech Synthesis 1 12.50%

Categories