Even the smallest, lowest-power audio devices embed AI capabilities to enhance the user experience. Successful deployment of AI on resource-constrained products like headsets and wearables entails careful attention to power consumption and silicon area requirements.
Power-Sipping, Always-Sensing AI
The TimbreAI™ is an ultra-low-power AI Interface engine designed for audio noise reduction use cases in consumer devices such as wireless headsets. It provides optimal performance within strict power and area constraints. Featuring 3.2 billion operations per second (GOPS) performance, the TimbreAI T3 sips an astonishingly low 300µW or less power. TimbreAI supports quick and seamless deployments. It is available as soft IP and is portable to any foundry silicon process.
Innovative Architecture
The TimbreAI is purpose-built for audio noise reduction in power-constraint devices. It uses Expedera’s packet-based architecture, and use case optimizations to achieve impressive performance and power efficiency.
Specifications
| Compute Capacity | 3.2 GOPS |
| Power Efficiency | 300 μW |
| Layer Support | Standard NN functions |
| Data types | INT4/INT8/INT16 Activations/Weights |
| Quantization | Channel-wise Quantization (TFLite Specification) |
| Latency | Deterministic performance guarantees, no back pressure |
| Frameworks | TensorFlow, TFlite, ONNX, others supported |