update to 0.0.16

kkoutini · Mar 9, 2022 · 8428f9e · 8428f9e
1 parent 065bf87
commit 8428f9e
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Showing 5 changed files with 5 additions and 5 deletions.
diff --git a/README.md b/README.md
@@ -13,7 +13,7 @@ pip3 install torch==1.8.1+cu111  torchaudio==0.8.1 -f https://download.pytorch.o
 # Installation 
 Install the latest version of this repo:
 ```shell
-pip install -e 'git+https://github.com/kkoutini/[email protected].15#egg=hear21passt' 
+pip install -e 'git+https://github.com/kkoutini/[email protected].16#egg=hear21passt' 
 ```
 
 The models follow the [common API](https://neuralaudio.ai/hear2021-holistic-evaluation-of-audio-representations.html#common-api) of HEAR 21 

diff --git a/hear21passt/__init__.py b/hear21passt/__init__.py
@@ -1,5 +1,5 @@
 
-__version__ = "0.0.15"
+__version__ = "0.0.16"
 
 
 def embeding_size(hop=50, embeding_size=1000):

diff --git a/hear21passt/hop160base.py b/hear21passt/hop160base.py
@@ -49,7 +49,7 @@ def get_basic_timestamp_embeddings(audio, model):
 
 
 def get_basic_model(**kwargs):
-    mel = AugmentMelSTFT(n_mels=128, sr=32000, win_length=800, hopsize=320, n_fft=1024, freqm=48,
+    mel = AugmentMelSTFT(n_mels=128, sr=32000, win_length=800, hopsize=160, n_fft=1024, freqm=48,
                          timem=192,
                          htk=False, fmin=0.0, fmax=None, norm=1, fmin_aug_range=10,
                          fmax_aug_range=2000)

diff --git a/hear21passt/hop160base2lvl.py b/hear21passt/hop160base2lvl.py
@@ -41,7 +41,7 @@ def get_timestamp_embeddings(audio, model):
 
 
 def get_2lvl_model(**kwargs):
-    mel = AugmentMelSTFT(n_mels=128, sr=32000, win_length=800, hopsize=100, n_fft=1024, freqm=48,
+    mel = AugmentMelSTFT(n_mels=128, sr=32000, win_length=800, hopsize=160, n_fft=1024, freqm=48,
                          timem=192,
                          htk=False, fmin=0.0, fmax=None, norm=1, fmin_aug_range=10,
                          fmax_aug_range=2000)

diff --git a/hear21passt/hop160base2lvlmel.py b/hear21passt/hop160base2lvlmel.py
@@ -42,7 +42,7 @@ def get_timestamp_embeddings(audio, model):
 
 
 def get_2lvl_model(**kwargs):
-    mel = AugmentMelSTFT(n_mels=128, sr=32000, win_length=800, hopsize=100, n_fft=1024, freqm=48,
+    mel = AugmentMelSTFT(n_mels=128, sr=32000, win_length=800, hopsize=160, n_fft=1024, freqm=48,
                          timem=192,
                          htk=False, fmin=0.0, fmax=None, norm=1, fmin_aug_range=10,
                          fmax_aug_range=2000)