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Click to expand!
### Issue Type
Support
### Source
source
### Tensorflow Version
tf 2.9
### Custom Code
Yes
### OS Platform and Distribution
Linux
### Mobile device…
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1. Take a set of 10 videos
2. Extract the audio and then use Yamnet to get the taggings
3. Process the tagging and create output based on Redhen's format
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Prior to filing: check that this should be a bug instead of a feature request. Everything supported, including the compatible versions of TensorFlow, is listed in the overview page of each technique. …
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Hi, Thank you so much
for this wonderful Repository
I was more interested to
train sound event detection on my own dataset
can you please let
me know from where
did you take this
model or How you
…
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**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): macOS 10.14.4
- TensorFlow installed from (source or binary): binary
- TensorFlow version (or github SHA if from so…
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Martine says "The acronyms, names, and technical phrases that are used in my classes turn out garbled, which is confusing." Usually acronyms, names, etc. are auto-captioned incorrectly, rather than g…
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Hi,
I'm trying to extend this code and regenerate the wav file from the spectrogram after the augmentation. I added the below line at line 85
`wav=librosa.feature.inverse.mel_to_audio(warped_mask…
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YAMNet is able to accept dynamically sized inputs to be able to process audio of different lenghts and sample rates. However, when trying to port this to TFlite a few problems arise as seen [here](htt…
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I'm trying to use a pretrained model to extract embeddings.
Single observation
```
X = np.random.uniform(-1,1,(10, 1000)) # 10 samples of length 1000
yamnet_model_handle = 'https://tfhub.dev/goo…