Multispecies Whale Detection

Multispecies Whale Sound Detection Tool

CommonProductOthersWhale Sound DetectionNeural Networks

Multispecies-whale-detection is an open-source project developed by Google, aimed at detecting and classifying whale sounds across different species and geographic regions through neural networks. This tool helps researchers and conservation organizations better understand and protect marine biodiversity.

Create training input: Generate training input from labeled audio file collections through the Beam pipeline.
Handle various audio formats: Support multiple audio file formats.
Audio file processing: Split multi-channel files and resample to a common sampling rate.
Audio clipping: Segment large files into shorter clips suitable for training.
Label and metadata merging: Merge labels and metadata with audio files
represented as TensorFlow Examples features in output.
Adjust label start times: Align label start times relative to the beginning of each audio clip.
Record serialization: Serialize merged records into tensorflow.Example format.

The target audience includes marine biologists
ecologists
and machine learning researchers. This tool aids them in more effectively identifying and studying whale vocalizations
enhancing the understanding of whale behaviors and ecological environments.

Marine biologists use this tool to study the vocal characteristics of specific whale populations.
Conservation organizations utilize this tool to monitor whale migration patterns and activity areas.
Educators use this tool to demonstrate the diversity and complexity of whale sounds to students.

1. Clone or download the multispecies-whale-detection project.
2. Install necessary dependencies
such as Apache Beam.
3. Prepare audio files and CSV label files.
4. Use the examplegen tool to generate training data.

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