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Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

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When I try, following example 2, an extract of 5 sec I receive the following error: `all the input arrays must have same number of dimensions, but the array at...

FileNotFoundError Traceback (most recent call last) in () 7 rec = EmotionRecognizer(model=my_model, emotions=['sad', 'neutral', 'happy'], balance=True, verbose=0) 8 # train the model ----> 9 rec.train() 10 # check the test...

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.5.2 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependencies

Hello, Hope you are doing very well. I run the model in order to determine the best model (with GridSearch). But it runs with the following problem: 'GradientBoostingClassifier' object has...

Hello @x4nth055! I really loved your implementation, it works so well on many different voices and languages! This pull request makes it possible to run your model inside a Docker...

Hello, I think your project is very good, but I have a question, what is the connection between traditional classifier and LSTM thanks

Looking at [this blog](https://machinelearningmastery.com/start-here/#deep_learning_time_series), [this tutorial](https://www.simplilearn.com/tutorials/deep-learning-tutorial/rnn), [the Wikipedia entery](https://en.wikipedia.org/wiki/Recurrent_neural_network), and any other material, shows us that RNNs are experts at extracting the time-sequential information in our data. The features you...

Hello, I just ran the Example 2 from the README. I didn’t make any changes to the code, but the confusion_matrix showed that the percentage of ‘happy’ and ‘sad’ were...

Hi, Based on this, I tried to convert speech to text, but whatever I do in the test file is the same print every time, even if I delete from...

Hi, I wanted to replicate Example 1 from the README. I didn’t make any changes to the code, but got the output much different from yours: ![image](https://user-images.githubusercontent.com/57115587/96880767-3e665880-1486-11eb-857d-acdcbc79efc9.png) Also, the best...