How it works

Types of analyses available

We offer a range of analyses to fit a wide variety of research needs.

Supervised

Pattern Matching (PM)

Our Pattern matching tool is a sound detection tool that only requires a single example of the target sound to get started.

Soundscape Analyses

Our soundscape analytical approaches allow holistic comparisons of entire eco-acoustic communities across time and space.

Supervised

AI Detection Models

Our deep-learning audio recognition models are trained to automate the detection of known species in raw soundscape recordings.

Unsupervised

Automated Event Detection & Clustering

Our Audio Event Detection (AED) and clustering analyses aim to automatically detect and categorize sounds in large audio datasets.

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Arbimon step-by-step

How Arbimon works

From start to finish of your research, Arbimon can support the collection and analysis of your data.

Step 1: Define

Define the fundamental research and conservation questions to be addressed: Where? Why? What? How?

Step 2: Collect

Conduct fieldwork to collect data by deploying acoustic recorders based on study goals and sampling design.

Step 3: Upload

Upload an unlimited volume of audio recordings to Arbimon for free storage, file management, and ecoacoustic analysis.

Step 4: Inspect

View spectrograms to annotate target acoustic signals, create call templates, and build training datasets for ecoacoustic analyses.

Step 5: Analyze

Analyze recordings by combining state-of-the-art AI tools, ecoacoustic analyses, and environmental variables to generate ecological insights.

Step 6: Share

Generate and publish figures and visualizations that highlight actionable results from your acoustic analyses, bringing transparency to your biodiversity reporting.

Have a question about the process?

Our team of experts can answer any of your questions and help guide you along the way.

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