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icefall/egs/tedlium3/ASR
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Daniil b293db4baf
Tedlium3 conformer ctc2 (#696) 
* modify preparation

* small refacor

* add tedlium3 conformer_ctc2

* modify decode

* filter unk in decode

* add scaling converter

* address comments

* fix lambda function lhotse

* add implicit manifest shuffle

* refactor ctc_greedy_search

* import model arguments from train.py

* style fix

* fix ci test and last style issues

* update RESULTS

* fix RESULTS numbers

* fix label smoothing loss

* update model parameters number in RESULTS
2022-12-13 16:13:26 +08:00
..
conformer_ctc2
Tedlium3 conformer ctc2 (#696)
2022-12-13 16:13:26 +08:00
local
Tedlium3 conformer ctc2 (#696)
2022-12-13 16:13:26 +08:00
pruned_transducer_stateless
manual correction of black formatting
2022-11-17 14:18:05 -05:00
transducer_stateless
manual correction of black formatting
2022-11-17 14:18:05 -05:00
prepare.sh
Tedlium3 conformer ctc2 (#696)
2022-12-13 16:13:26 +08:00
README.md
Tedlium3 pruned transducer stateless (#261)
2022-04-11 17:08:53 +08:00
RESULTS.md
Tedlium3 conformer ctc2 (#696)
2022-12-13 16:13:26 +08:00
shared
Tedlium3 transducer stateless (#233)
2022-03-18 11:39:06 +08:00

README.md

Introduction

This recipe includes some different ASR models trained with TedLium3.

Transducers

There are various folders containing the name transducer in this folder. The following table lists the differences among them.

Encoder Decoder Comment
transducer_stateless Conformer Embedding + Conv1d
pruned_transducer_stateless Conformer Embedding + Conv1d Using k2 pruned RNN-T loss

The decoder in transducer_stateless is modified from the paper Rnn-Transducer with Stateless Prediction Network. We place an additional Conv1d layer right after the input embedding layer.