Exploring audio data augmentation – Labeling Audio Data-1
Zavia Dunlap
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…
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IT Certification Exams
Labeling the image data
Labeling the video data
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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
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Spectrogram visualization
Waveform visualization
Zero-crossing rate
Hands-on – labeling audio data using a CNN – Labeling Audio Data-1
Classifying a transcription using Hugging Face transformers Now, let’s use Hugging Face transformers to classify the output text from the previous customer call audio transcription and perform sentiment analysis to…
Real-time voice classification with Random Forest – Labeling Audio Data-1
Downloading FFmpeg FFmpeg is a versatile and open source multimedia framework that facilitates the handling, conversion, and manipulation of audio and video files (https://ffmpeg.org/download.html). To download FFmpeg for macOS, select…
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…
Spectrogram visualization – Exploring Audio Data
A spectrogram is a more advanced visualization that shows how the audio’s frequency content changes over time. It’s like a heat map, where different colors represent different frequencies: Generate a…
IT Certification Exams
pyOpenAnnotate
Spectrogram visualization
Waveform visualization
Zero-crossing rate
Chroma features – Exploring Audio Data
Tempo The term tempo in the context of audio and music refers to the speed or pace of a piece of music. It’s a fundamental characteristic of music, and it’s…