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soundata Examples

soundata Examples.

Here is a detailed step-by-step tutorial on how to use the soundata library in Python, along with 10 examples.

Table of Contents​

  1. Installation
  2. Importing the library
  3. Example 1: Loading an audio file
  4. Example 2: Extracting features from an audio file
  5. Example 3: Visualizing a waveform
  6. Example 4: Visualizing a spectrogram
  7. Example 5: Downloading a dataset
  8. Example 6: Listing available datasets
  9. Example 7: Accessing metadata for a dataset
  10. Example 8: Accessing audio files for a dataset
  11. Example 9: Accessing annotations for a dataset
  12. Example 10: Preprocessing audio files

Let's get started!

1. Installation​

To install the soundata library, you can use pip:

pip install soundata

2. Importing the library​

After installing the library, you can import it into your Python script using the following import statement:

import soundata

3. Example 1: Loading an audio file​

To load an audio file using the soundata library, you can use the load_audio function. Here's an example:

audio_path = soundata.get_audio_path("urbansound8k", "fold1/101415-3-0-2.wav")
audio_data, sr = soundata.load_audio(audio_path)

In this example, we're loading an audio file from the UrbanSound8K dataset. The get_audio_path function returns the path to the audio file, and then we use the load_audio function to load the audio data and the sample rate (sr).

4. Example 2: Extracting features from an audio file​

The soundata library provides various functions to extract features from audio files. Let's look at an example of extracting Mel spectrogram features:

mel_spectrogram = soundata.get_melspectrogram(audio_data, sr)

Here, we're using the get_melspectrogram function to extract the Mel spectrogram features from the previously loaded audio file. The resulting mel_spectrogram will be a numpy array.

5. Example 3: Visualizing a waveform​

To visualize the waveform of an audio file, you can use the plot_waveform function:

soundata.plot_waveform(audio_data, sr)

This will display a plot of the waveform.

6. Example 4: Visualizing a spectrogram​

To visualize a spectrogram of an audio file, you can use the plot_spectrogram function:

soundata.plot_spectrogram(mel_spectrogram)

This will display a plot of the spectrogram.

7. Example 5: Downloading a dataset​

To download a dataset using the soundata library, you can use the download function:

soundata.download("urbansound8k")

This will download the UrbanSound8K dataset to your specified data directory.

8. Example 6: Listing available datasets​

To list the available datasets that can be used with the soundata library, you can use the list_datasets function:

datasets = soundata.list_datasets()
print(datasets)

This will print a list of available datasets.

9. Example 7: Accessing metadata for a dataset​

To access metadata for a dataset, you can use the metadata attribute of a dataset object. Here's an example:

urbansound8k_metadata = soundata.UrbanSound8k(metadata_only=True)
metadata = urbansound8k_metadata.metadata
print(metadata)

This will print the metadata for the UrbanSound8K dataset.

10. Example 8: Accessing audio files for a dataset​

To access audio files for a dataset, you can use the audio attribute of a dataset object. Here's an example:

urbansound8k_audio = soundata.UrbanSound8k()
audio_files = urbansound8k_audio.audio
print(audio_files)

This will print a list of audio files in the UrbanSound8K dataset.

11. Example 9: Accessing annotations for a dataset​

To access annotations for a dataset, you can use the annotations attribute of a dataset object. Here's an example:

urbansound8k_annotations = soundata.UrbanSound8k()
annotations = urbansound8k_annotations.annotations
print(annotations)

This will print the annotations for the UrbanSound8K dataset.

12. Example 10: Preprocessing audio files​

The soundata library provides various preprocessing functions for audio files. Let's look at an example of resampling an audio file:

resampled_audio = soundata.resample_audio(audio_data, sr, new_sr=16000)

In this example, we're using the resample_audio function to resample the audio file to a new sample rate of 16000 Hz.

These are just a few examples of what you can do with the soundata library. You can explore the library further to discover more features and functionalities.

I hope this tutorial helps you get started with the soundata library in Python!