swanlab.Audio

Github Source Code

Audio(
    data_or_path: Union[str, np.ndarray],
    sample_rate: int = 44100,
    caption: str = None,
) -> None

Parameter	Description
data_or_path	(Union[str, np.ndarray]) Accepts an audio file path or a numpy array. The Audio class will determine the received data type and perform the appropriate conversion.
sample_rate	(int) The sample rate of the audio, default is 44100.
caption	(str) The label for the audio. Used to mark the audio when displayed in the experiment dashboard.

Introduction

Convert various types of audio data to be recorded by swanlab.log().

Creating from numpy array

Logging a single audio:

import numpy as np
import swanlab

run = swanlab.init()

# Create an audio of numpy array type
white_noise = np.random.randn(2, 100000)
# Pass it to swanlab.Audio, set the sample rate
audio = swanlab.Audio(white_noise, caption="white_noise")

run.log({"examples": audio})

Logging multiple audios:

import numpy as np
import swanlab

run = swanlab.init()

# Create a list
examples = []
for i in range(3):
    white_noise = np.random.randn(100000)
    audio = swanlab.Audio(white_noise, caption=f"audio_{i}")
    # Add swanlab.Audio type objects to the list
    examples.append(audio)

run.log({"examples": examples})

Creating from file path

import swanlab

run = swanlab.init()
audio = swanlab.Audio("path/to/file")

run.log({"examples": audio})