From 5324c9cfdf7b3673b4b6c3579e0760ad57037db6 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 27 Apr 2023 20:35:26 +0900
Subject: [PATCH] from local

---
 egs/librispeech/ASR/.conv_feat_vis.py.swp | Bin 12288 -> 12288 bytes
 egs/librispeech/ASR/conv_feat_vis.py      |  40 ++++++++++++----------
 2 files changed, 21 insertions(+), 19 deletions(-)

diff --git a/egs/librispeech/ASR/.conv_feat_vis.py.swp b/egs/librispeech/ASR/.conv_feat_vis.py.swp
index a180021c6aba8cda19798cab0900382bcff50fb4..bcc903d37314f73a4f2fc651cf3df876ca11579d 100644
GIT binary patch
delta 493
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zK?U)+sr(EK4M1E7#6Cc52*e^l{F9G?;Rg`k2jUYzJPC*=0&xZqrvtGc5NiW57Z860
zn)nikF97j!AT9^uWFU^_-K;2Zfk#yV2GrHn8DQ*!oD#j{oc!Wc4Nb7v<TttolO^<2
z?LZ3B@{1HQ6*BV_iW2kEQ#DKtjWn&ms!&WQ%FHX#$W2Ym(@`icNr4)Zt*1D-Lr-1~
zr!io2ChyhLn*3PL$P}h5Ej6(OWFd$yhS&vW#wX_FDA+=TqYYviAiC}JrDef7LAq=e
z@(T2F@)J`uKsun#$kP}1fvJek$t(sbOV7zq(nwRUE-uKf)z{L?E2vb5s0P~vR1h7@
e0P;Cd9^@1t1=eZB0Ax+>)R$&b*POgn-x~mq&3TOg

delta 438
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zSx`YdZZ$sxLn{#H0dXi0+X1mH5NiOjC=fs9V_<j$#Cw5w4-hX0;tn9r2I4Rv4gz9Z
zAeI2)H$ao`Ky5e(qz~|JRur)2)mB$mXHWowf}9e)<edECR1HlKADi&xYF&fL>va|N
z((;QGG8HoO6p9k_(o;1|4UIId7~ndJGV@9_a#IuYbQFq9QZyMR^XVy0HrA6C!>Wy8
za*m$X<XL)pnjq=4)Wi~y!63TWiUCZ;C+6fR*g}M&4PqG>CjZrwjsdH*RmdyQ%gIkn
z(ExEZ8PJW0&&ez<ffxg30*y(}$xqTy*V9kV&nt@u>C)HI%PXi<2Wke{2~-gsJ9(?V
FHvkJ@bIJe!

diff --git a/egs/librispeech/ASR/conv_feat_vis.py b/egs/librispeech/ASR/conv_feat_vis.py
index 68b5b665a..efe5a9d87 100644
--- a/egs/librispeech/ASR/conv_feat_vis.py
+++ b/egs/librispeech/ASR/conv_feat_vis.py
@@ -2,25 +2,27 @@ from glob import glob
 import numpy as np
 import matplotlib.pyplot as plt
 
-feats = []
-feat_list = glob('./conv_feat/*.npy')
-for feat in feat_list:
-    feat = np.load(feat)
-    feats.append(feat)
+spk_list = glob('./conv_feat/*')
+for spk in spk_list:
+    feats = []
+    feat_list = glob(f'{spk}/*.npy')
+    for feat in feat_list:
+        feat = np.load(feat)
+        feats.append(feat)
 
-feats_all = feats[0]
-for feat in feats:
-    feats_all = np.concatenate([feats_all, feat])
+    feats_all = feats[0]
+    for feat in feats:
+        feats_all = np.concatenate([feats_all, feat])
 
-feats_all = feats_all.transpose(1,0)
+    feats_all = feats_all.transpose(1,0)
 
-for i in range(512):
-    mean = feats_all[i].mean()
-    std = feats_all[i].std()
-    print(mean, std)
-'''
-for i in range(512):
-    plt.hist(feats_all[i], bins=500)
-    plt.savefig(f'./conv_feat/dim_{i}.pdf')
-    plt.close()
-'''
+    for i in range(512):
+        mean = feats_all[i].mean()
+        std = feats_all[i].std()
+        print(mean, std)
+    '''
+    for i in range(512):
+        plt.hist(feats_all[i], bins=500)
+        plt.savefig(f'./conv_feat/dim_{i}.pdf')
+        plt.close()
+    '''