VQV Signal
Oído is an inference engine that runs open-vocabulary English speech recognition on an ESP32-S3 microcontroller without a neural accelerator. It executes a 13M-parameter Conformer-CTC model with int8 weights on low-cost hardware.
Oído is an inference engine that runs open-vocabulary English speech recognition on an ESP32-S3 microcontroller without a neural accelerator. It executes a 13M-parameter Conformer-CTC model with int8 weights on low-cost hardware.
AI-assisted summary based on the listed source.
Speech recognition on low-cost microcontrollers is, in practice, limited to keyword spotting or a fixed list of commands. We present Oído, an inference engine that runs open-vocabulary English speech recognition entirely on an ESP32-S3 (240 MHz dual-core Xtensa LX7, 512 KB of SRAM, 8 MB of PSRAM, 16 MB of flash,...
This demonstrates advanced speech recognition capabilities on extremely low-cost, resource-constrained devices, expanding potential applications in embedded and edge AI. It challenges the notion that neural accelerators are necessary for complex language models on microcontrollers.
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