emotion-recognition-using-speech
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x4nth055
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
I want to understand why SVR parameters are commented in the parameters.py file
ImportError: numpy.core.multiarray failed to import
When I run: from deep_emotion_recognition import DeepEmotionRecognizer deeprec = DeepEmotionRecognizer(emotions=['angry', 'sad', 'neutral', 'ps', 'happy'], n_rnn_layers=2, n_dense_layers=2, rnn_units=128, dense_units=128) # train the model deeprec.train() # get the accuracy print(deeprec.test_score()) # predict...
melspectrogram() takes 0 positional arguments but 1 positional argument (and 1 keyword-only argument) were given
Can i get a tutorial means how to set up this project , i am using jupyter notebook can any one give me any tutorial how to run this project.
Fixes emotion-recognition-using-speech/extract_feature, did not work. #46 The program did not get the expected output when I try to run example2. I found the `extract_feature` function in `utils.py` actually didn't work....
The function librosa.feature.melspectrogram was updated and you need to specify y= for the audio time series argument or else you will get a positional error. When I added this edit...
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.5.2 to 2.11.1. Release notes Sourced from tensorflow's releases. TensorFlow 2.11.1 Release 2.11.1 Note: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting...
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{'angry': 1.0, 'sad': 1.0595564e-14, 'neutral': 3.413421e-14, 'ps': 2.9746183e-09, 'happy': 1.6824228e-19} predicted_angry predicted_sad ... predicted_ps predicted_happy true_angry 87.179489 6.410257 ... 5.128205 0.000000 true_sad 14.102565 75.641022 ... 7.692308 1.282051 true_neutral 3.846154 6.410257...
The RNN 5 emotion model , when run just gives the following output: [+] Generated EMO-DB CSV File [Custom Dataset] There are 49 training audio files for category:neutral [Custom Dataset]...
