Exploring audio data augmentation – Labeling Audio Data-2
Zavia Dunlap
By using this noise-augmented audio data, the model accuracy increased from 0.946 to 0.964. Depending on the data, we can apply data augmentation and test the accuracy to decide whether…
Labeling the video data
Exploring audio data augmentation – Labeling Audio Data-1
Let’s see how to manipulate audio data by adding noise, using NumPy. Adding noise to audio data during training helps the model become more robust in real-world scenarios, where there…
IT Certification Exams
Labeling the image data
Labeling the video data
pyOpenAnnotate
Spectrogram visualization
Hands-on – labeling audio data using a CNN – Labeling Audio Data-3
Step 5: Train the model: This code initiates the training of the neural network model using the training data (X_train and y_train) for 20 epochs, with a batch size of…
IT Certification Exams
Labeling the video data
pyOpenAnnotate
Spectrogram visualization
Waveform visualization
Hands-on – labeling audio data using a CNN – Labeling Audio Data-2
In summary, this code provides a comprehensive guide on using a CNN to label audio data, from data loading and preprocessing to model training, evaluation, and prediction on new audio…
IT Certification Exams
Labeling the image data
Labeling the video data
Waveform visualization
Zero-crossing rate
Technical requirements – Labeling Audio Data
In this chapter, we will embark on this transformative journey through the realms of real-time audio capture, cutting-edge transcription with the Whisper model, and audio classification using a convolutional neural…
IT Certification Exams
Labeling the image data
Labeling the video data
pyOpenAnnotate
Spectrogram visualization
Troubleshooting common issues during data analysis – Exploring Audio Data
Troubleshooting common issues during audio data analysis involves identifying and addressing problems that may arise at various stages of the analysis pipeline. Here are some common issues and guidance on…
Ethical implications of audio data – Exploring Audio Data
Considerations for visualizations Multimodal integration: Visualizations can be combined with other modalities (text, image) for multimodal analysis, enhancing the understanding of audio data in various contexts. Real-time applications: Some visualizations…
IT Certification Exams
Labeling the image data
Labeling the video data
Waveform visualization
Zero-crossing rate
Waveform visualization – Exploring Audio Data
Visualizing audio data with matplotlib and Librosa Visualizations play a crucial role in understanding and interpreting audio data. Here’s a comparison of different types of visualizations for audio data and…
Zero-crossing rate – Exploring Audio Data
The zero-crossing rate measures how rapidly the signal changes from positive to negative or vice versa. It’s often used to characterize noisiness in audio. Here’s how you can calculate it:…