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# Change log for esp-sr
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## 2.0.3
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-Add wakenet9 support for ESP32
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## 2.0.2
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- Accelerate the AEC of ESP32C5, reducing the CPU loading from 39% to 30%.
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@ -91,7 +91,7 @@ The following MultiNet models are supported in esp-sr:
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Espressif Audio Front-End **AFE** integrates AEC (Acoustic Echo Cancellation), VAD (Voice Activity Detection), BSS (Blind Source Separation) and NS (Noise Suppression).
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Our two-mic Audio Front-End (AFE) have been qualified as a “Software Audio Front-End Solution” for [Amazon Alexa Built-in devices](https://developer.amazon.com/en-US/alexa/solution-providers/dev-kits#software-audio-front-end-dev-kits).
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Our two-mic Audio Front-End (AFE) have been qualified as a “Software Audio Front-End Solution” for [Amazon Alexa Built-in devices](https://developer.amazon.com/en-US/alexa/solution-providers/alexa-connect-kit).
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**In order to achieve optimal performance:**
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version: "2.0.2"
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version: "2.0.3"
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description: esp_sr provides basic algorithms for Speech Recognition applications
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url: https://github.com/espressif/esp-sr
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dependencies:
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