What are hallucinations?
In voice AI, hallucinations are outputs that don't reflect reality - likr an ASR system inventing words that weren't spoken. They're a key reliability risk for voice agents, transcription pipelines, and any system built on top of speech models.
What is an example of hallucinations?
An ASR system might incorrectly transcribe background noise as meaningful speech, or an enhancement model might add non-existent speech artifacts.
How do hallucinations work?
They typically result from overfitting, ambiguous inputs, or model biases, where the system guesses patterns based on prior training.
How does ai-coustics reduce hallucinations?
We minimize hallucinations through careful dataset design, model evaluation, and quality metrics to ensure enhanced audio remains faithful to the original speech. Additionally, Quail Voice Focus reduces STT hallucinations in voice agents by cleaning up the input audio and isolating the main speaker.
