From 6d3d0ad75ea9885365f4cbbeaa070bd83aec2944 Mon Sep 17 00:00:00 2001 From: liuyibing01 Date: Tue, 10 Mar 2020 09:43:00 +0000 Subject: [PATCH] Fix doc format --- README.md | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 2a761d3..04a736c 100644 --- a/README.md +++ b/README.md @@ -6,9 +6,9 @@ Parakeet aims to provide a flexible, efficient and state-of-the-art text-to-spee
-In particular, it features the latest [WaveFlow] (https://arxiv.org/abs/1912.01219) model proposed by Baidu Research. +In particular, it features the latest [WaveFlow](https://arxiv.org/abs/1912.01219) model proposed by Baidu Research. -- WaveFlow can synthesize 22.05 kHz high-fidelity speech around 40x faster than real-time on a Nvidia V100 GPU without engineered inference kernels, which is faster than [WaveGlow] (https://github.com/NVIDIA/waveglow) and serveral orders of magnitude faster than WaveNet. +- WaveFlow can synthesize 22.05 kHz high-fidelity speech around 40x faster than real-time on a Nvidia V100 GPU without engineered inference kernels, which is faster than [WaveGlow](https://github.com/NVIDIA/waveglow) and serveral orders of magnitude faster than WaveNet. - WaveFlow is a small-footprint flow-based model for raw audio. It has only 5.9M parameters, which is 15x smalller than WaveGlow (87.9M). - WaveFlow is directly trained with maximum likelihood without probability density distillation and auxiliary losses as used in Parallel WaveNet and ClariNet, which simplifies the training pipeline and reduces the cost of development. @@ -102,16 +102,12 @@ Parakeet also releases some well-trained parameters for the example models, whic
-
-
-
- -- GitLab