Syntiant NDP(Neural Decision Processor)用于运行深度学习算法(deep learning algorithms)。
NDP100通过计算单元的存储单元的高度聚合,最大限度的开发深度学习内在的并行计算优势(vast inherent parallelism of deep learning),可以达到对比CPU和DSP的存储程序架构(stored program arthitectures)高达100倍的效能提升。
NDP100可编程的深度学习网络支持(programmable deep learning network)多种应用导向的(application-defined)音频处理应用 -
- keyword speech interface
- wake word detection
- speaker identification
- sensor application
- audio event and environment application
主要特性和价值(Key features and benefits)
- 12 ball WLBGA package for extremely space constrained environments
- Dual PDM microphone input or PCM-over-SPI input
- Stereo/mono I2S interface multiplexed with PDM
- Direct access to neural network over SPI forsensor applications
- Frequency, time-domain & batch input models
- 16-bit input holding tank with faster than real-time SPI extraction
- General purpose ARM Cortex-M0 processor with112KB SRAM
- Integrated clock multiplier and dividers support low frequency clock source or external clocking
- Optimized interrupt and SPI slave interface
- Onboard firmware security and authentication
- English Speech Service for keyword training
- Software Development Kit (SDK) integrates in any software environment
- Training Development Kit (TDK) to enable the user of standard frameworks such as TensorFlow for customer-programmed applications
- Support for 64 output classifications
- Active power consumption of <150 μW while recognizing words
目标应用 -
NDP100以最小化系统支持语音用户界面(enable speech interfaces in smallest systems),代替传统的触控界面(tactile interface),包括按键,开关,触摸等。
- Mobile phones
- Ear buds and hearing aids
- Bluetooth headsets
- Smart watches
- IoT endpoints
- Remote controls
- Smart speakers