From 307100674169aa2d06464840412d5374f963c34e Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Wed, 28 Dec 2022 10:40:49 +0900
Subject: [PATCH] from local

---
 .../.asr_datamodule.py.swp                    | Bin 36864 -> 36864 bytes
 .../.train_adapter.py.swp                     | Bin 81920 -> 81920 bytes
 .../train_adapter.py                          |   8 ++++----
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.asr_datamodule.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.asr_datamodule.py.swp
index 82ac15e89c44e9b5bfe2160ef2dadf5b37796093..41d6e22f92f097b5d73ae393a80683af5dc9b020 100644
GIT binary patch
delta 32
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delta 32
mcmZozz|^pSNi@kI%+puFQqO<^2m}}yBIm76*4!xix*q_GqX`WF

diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp
index 7585b3623508b6fed7d2e3e134ab67395f8923cc..4c4e3d3b32a69e25b1baba24674272afcf3231d3 100644
GIT binary patch
delta 255
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q;A9n<_o5<fH&5$<r0Df#S+6C6)k38h>^FAt|718zij?c`DTE)vB|6>!

delta 219
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diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
index f79b08d7a..de517d8be 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
@@ -1542,11 +1542,11 @@ def run_adapter(rank, world_size, args, wb=None):
     optimizer, scheduler = optimizer_adapter, scheduler_adapter
     
     librispeech = LibriSpeechAsrDataModule(args)
-
-    train_cuts = librispeech.train_clean_100_cuts()
+    
+    train_cuts = librispeech.train_clean_100_cuts(option='male')
     if params.full_libri:
-        train_cuts += librispeech.train_clean_360_cuts()
-        train_cuts += librispeech.train_other_500_cuts()
+        train_cuts += librispeech.train_clean_360_cuts(option='male')
+        train_cuts += librispeech.train_other_500_cuts(option='male')
 
     def remove_short_and_long_utt(c: Cut):
         return 1.0 <= c.duration <= 20.0