From 3058e82f4f53b5cc7eabc5840d730484ba746e8c Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Sat, 25 Feb 2023 14:33:10 +0900
Subject: [PATCH] from local

---
 .../ASR/conformer_ctc2/.decode.py.swp         | Bin 53248 -> 53248 bytes
 egs/librispeech/ASR/conformer_ctc2/decode.py  |   9 +++++----
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/egs/librispeech/ASR/conformer_ctc2/.decode.py.swp b/egs/librispeech/ASR/conformer_ctc2/.decode.py.swp
index 63f106901bf862d9acbd99b89c73b3a6e8a840d4..f5172157afb3d254a1e9181c78d4a43b74845a4e 100644
GIT binary patch
delta 694
zcmZY7OGs2v7{KxGIyqzM&8r4OqIPp2twmlhwQx~`Vu9cTG^U5hFb+D7jH7dP5d@6|
zfeRt>ZbS%_L=iU*m#_y^1ZCi~iqKUcZVb|eJ0D^HtIIz4o!58H;lOuBr#++79)GtH
zYHHEzt{OsUB2_Q<qDSWKjQ_r-^gAid4y(;>Cg&vG?-UKqE8d$-wH*6Hs@>Fy#6WmB
z8cFno6Y=2@{f6EduQ3h1chJ(~dOWFHkz}l=+B7bAiM!irus*Blvs}2VoZM>Bx$(77
z<O^o;5S=hljROvR!y=|&p$X+E!7o*00psXH5ZB?w_X3e6jA0OW3M4Il28a0~8+eUH
z%-}9UxP?k=o)LMEIkX^%QfT;lT4V>?_=9ygn8Z`W(2Dce%M;nc8kY0YB54MFh@lG|
zI0rA*eIl#KU=H`thJ5UMc`#n#F^15NMqENU)^d3Sq6k4l_LRsoG~h~vrV>Ta;KOf^
z$Pc{58%$yVK^#)?1N_80%wQak@BsCwfC{&)yNdlHQ|25!$*M}gS$$q-lqRX-1l(`N
kuH#raUUM#fiWJ%(YkhWaho%JVZ0cHZ;J;60U$6rI07)EtBLDyZ

delta 654
zcmYMyPe_w-7{Kx8b+#?r>-Jh>v0yHC2vNp6Bg5NREhs2um48?yGY{?}PESJcu7aq;
z=<uFK7m;KTUe+7YA5rm8M1Q<UYzGOVOF;z*Gfc(ryB&Ps^Zfq951uDK>&VYK0;BrC
z#mnK|s4j$0WGnUWR!{AGIWX)~vR2M#j;MDzNi;Q%vz9hlQk?d3M=_UjDQ{Yj>angc
zx!ca>##+QmOs%ShmlvB#<JlC09q-tDi+Rl822P^`JFOz`v4F>z#wCPs3}01|rzjwc
zIC|j1XOBo34>5`B9x>!NliedC-|zwpn8OeTaRCv0ZxLBU30Dxu324|mEb<4x@e5Tv
zM-lfhjy?pj?H2ig3SPPmkvx+u#&HwZ;D-xUm&ivvLkYv^hX?<id>Bt)Acw0+;uJ!t
z9O4rg!yq(#Y8JVVbLh;FB4~pKH-0)q*6|vzP{ah{*tJWFFL;AF6mT19*d=dAE9|oV
zRm^hCZ`JOstJa4{y?Str8a{yCMck>!Vtvm#xsvgk%Q2UkEF3kfxwGm))12uF+by#X
D>RNHH

diff --git a/egs/librispeech/ASR/conformer_ctc2/decode.py b/egs/librispeech/ASR/conformer_ctc2/decode.py
index 170062b99..48836920b 100755
--- a/egs/librispeech/ASR/conformer_ctc2/decode.py
+++ b/egs/librispeech/ASR/conformer_ctc2/decode.py
@@ -431,10 +431,11 @@ def decode_one_batch(
         "whole-lattice-rescoring",
         "attention-decoder",
     ]
-
-    lm_scale_list = [0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7]
-    lm_scale_list += [0.8, 0.9, 1.0, 1.1, 1.2, 1.3]
-    lm_scale_list += [1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0]
+    
+    lm_scale_list = [i/20 for i in range(20)]
+    #lm_scale_list = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7]
+    #lm_scale_list += [0.8, 0.9, 1.0, 1.1, 1.2, 1.3]
+    #lm_scale_list += [1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0]
 
     if params.method == "1best":
         best_path_dict = one_best_decoding(