Isolation performance metrics for personal sound zone reproduction systems.

Area of Science:

• Acoustics
• Signal Processing
• Audio Engineering

Background:

• Personal Sound Zone (PSZ) systems aim to deliver audio to specific listeners while minimizing sound leakage.
• Existing performance metrics like acoustic contrast may not fully capture the complexities of multichannel audio and diverse PSZ applications.
• Evaluating PSZ systems requires robust metrics that address both spatial and program-specific isolation.

Purpose of the Study:

• Introduce and define two novel performance metrics: inter-zone isolation (IZI) and inter-program isolation (IPI).
• Generalize isolation quantification for multichannel audio environments within PSZ systems.
• Demonstrate the utility of IZI and IPI in evaluating PSZ performance across various scenarios and rendering techniques.

Main Methods:

• Development of generalized mathematical frameworks for IZI and IPI.
• Application of metrics to multichannel audio scenarios.
• Utilizing free-field simulations to exemplify IZI and IPI in PSZ performance evaluation.

Main Results:

• IZI and IPI are introduced as distinct metrics, quantifying sound zone and audio program isolation, respectively.
• The metrics are shown to be generally non-interchangeable, offering complementary information.
• IZI is suitable for creating "dark zones," while IPI minimizes audio-on-audio interference.

Conclusions:

• IZI and IPI provide a more comprehensive evaluation of personal sound zone systems compared to traditional metrics.
• The metrics are applicable to diverse PSZ configurations and use cases, including "dark zone" generation and interference reduction.
• Simulations confirm the practical utility of IZI and IPI for assessing PSZ performance and robustness.