Audio scene generation
Training and evaluating audio ML models requires more than clean impulse responses — it requires complete acoustic scenes with realistic mixtures of speech, noise, and device artifacts, paired with ground-truth metadata. Assembling these by hand is time-consuming and difficult to reproduce at the scale needed for robust model development.
The Treble SDK audio scene generator addresses this directly. It produces rendered audio scenes by convolving room impulse responses with speech and noise signals, with native support for rule-based conversational turn-taking, configurable signal-to-noise ratios, device noise simulation, and bulk generation. Each output scene is accompanied by structured metadata, making the resulting datasets immediately usable for ML training and evaluation pipelines.
Audio scene generation workflow
The following video and notebook demonstrate how to configure and run the audio scene generator, covering scene setup, conversation rules, and bulk output.