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PyTorch implementation of "Jasper: An End-to-End Convolutional Neural Acoustic Model" (INTERSPEECH 2019)

License: Apache License 2.0

Python 100.00%

asr automatic-speech-recognition cnn jasper nvidia pytorch speech-recognition

jasper's Introduction

I'm Soohwan Kim

Career

Co-founder & A.I. team leader at TUNiB 2021.03 ~ present
A.I. Engineer at Kakao Brain 2020.08 ~ 2021.03

Service

Dearmate : A.I. SNS platform with a variety of characters with unique personas
TUNiBridge : NLP Cloud API Services

jasper's People

Contributors

Stargazers

Watchers

Forkers

tuanio fr0do

jasper's Issues

The motivation to design the submodule

It seems that the motivation to design the jasper architecture is not clear. Most networks are constructed by stacking the basic module such as Resnet, MobileNet. The design of the submodule architecture makes me confused. Could you share the motivation here?

Were you able to reproduce results?

HI, can you also share the training statistics? That would be very helpful.

is there a way to specify BxR as configs?

Dear @sooftware,

Is there a way to specify the number of block (B) and the number of subblocks (R) instead of the predefined settings 5x5 and 10x5?

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