Developing a speech recognition application
Speech recognition is another field where ML algorithms can do a very good job and Espressif invests a lot in this field in terms of both hardware and software. The ESP32-S3 series of MCUs is a response to the advancements in ML. When we look at the ESP32-S3 technical reference manual, we see that ESP32-S3 has an extended instruction set to support 128-bit vector operations with an additional eight 128-bit general-purpose registers. Having a Single Instruction, Multiple Data (SIMD) paradigm in mind, the ESP32-S3 Arithmetic Logic Unit (ALU) is capable of, for example, processing 16 8-bit vectors in a single instruction with this extended instruction set, or Processor Instruction Extensions (PIEs), as they’re called in the ESP32-S3 technical reference.
Espressif supports this hardware with advanced frameworks and libraries. Here is a short summary of them:
