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ESP-SR 语音识别框架
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README.md

ESP-SR Speech Recognition Framework

Documentation Status Component Registry

Espressif ESP-SR helps users build AI speech solutions based on ESP32 or ESP32-S3 chips.

Overview

ESP-SR framework includes the following modules:

These algorithms are provided in the form of a component, so they can be integrated into your projects with minimum effort.

ESP32-S3 is recommended, which supports AI instructions and larger, high-speech octal SPI PSRAM. The new algorithms will no longer support ESP32 chips.

Wake Word Engine

Espressif wake word engine WakeNet is specially designed to provide a high performance and low memory footprint wake word detection algorithm for users, which enables devices always listen to wake words, such as “Alexa”, “Hi,lexin” and “Hi,ESP”. You can refer to Model loading method to build your project.

Currently, Espressif has not only provided an official wake word "Hi,Lexin","Hi,ESP" to the public for free, but also allows customized wake words. For details on how to customize your own wake words, please see Espressif Speech Wake Words Customization Process.

Speech Command Recognition

Espressif's speech command recognition model MultiNet is specially designed to provide a flexible off-line speech command recognition model. With this model, you can easily add your own speech commands, eliminating the need to train model again. You can refer to Model loading method to build your project.

Currently, Espressif MultiNet supports up to 200 Chinese or English speech commands, such as “打开空调” (Turn on the air conditioner) and “打开卧室灯” (Turn on the bedroom light).

Audio Front End

Espressif Audio Front-End AFE integrates AEC (Acoustic Echo Cancellation), VAD (Voice Activity Detection), BSS (Blind Source Separation) and NS (Noise Suppression).

Our two-mic Audio Front-End (AFE) have been qualified as a “Software Audio Front-End Solution” for Amazon Alexa Built-in devices.

In order to achieve optimal performance: