Dynamic Multi-Species Bird Soundscape Generation with Acoustic Patterning and 3D Spatialization

TL;DR

This paper introduces a fully algorithmic framework for generating dynamic, multi-species bird soundscapes with 3D spatialization, enabling scalable, realistic, and controllable ecological sound environments without relying on recordings.

Contribution

The authors develop a novel DSP-based method that simulates multiple moving birds with species-specific acoustic patterns and 3D motion, surpassing existing static or data-driven approaches.

Findings

System can generate dense, immersive bird soundscapes

Supports controllable chirp sequences and overlapping choruses

Produces realistic 3D motion and acoustic patterns

Abstract

Generation of dynamic, scalable multi-species bird soundscapes remains a significant challenge in computer music and algorithmic sound design. Birdsongs involve rapid frequency-modulated chirps, complex amplitude envelopes, distinctive acoustic patterns, overlapping calls, and dynamic inter-bird interactions, all of which require precise temporal and spatial control in 3D environments. Existing approaches, whether Digital Signal Processing (DSP)-based or data-driven, typically focus only on single species modeling, static call structures, or synthesis directly from recordings, and often suffer from noise, limited flexibility, or large data needs. To address these challenges, we present a novel, fully algorithm-driven framework that generates dynamic multi-species bird soundscapes using DSP-based chirp generation and 3D spatialization, without relying on recordings or training data. Our approach simulates multiple independently-moving birds per species along different moving 3D trajectories, supporting controllable chirp sequences, overlapping choruses, and realistic 3D motion in scalable soundscapes while preserving species-specific acoustic patterns. A visualization interface provides bird trajectories, spectrograms, activity timelines, and sound waves for analytical and creative purposes. Both visual and audio evaluations demonstrate the ability of the system to generate dense, immersive, and ecologically inspired soundscapes, highlighting its potential for computer music, interactive virtual environments, and computational bioacoustics research.