release esp-sr v2.0

docs/en/audio_front_end/README.rst

@@ -78,7 +78,7 @@ Using the AFE Framework
 
 Based on the ``menuconfig`` -> ``ESP Speech Recognition``, select the required AFE (Analog Front End) models, such as the WakeNet model, VAD (Voice Activity Detection) model, NS (Noise Suppression) model, etc., and then call the AFE framework in the code using the following steps.
 
-For reference, you can check the code in :project_file:`test_apps/esp-sr/main/test_afe.cpp`.
+For reference, you can check the code in :project_file:`test_apps/esp-sr/main/test_afe.cpp` or `esp-skainet/examples <https://github.com/espressif/esp-skainet/tree/master/examples>`__.
 
 Step 1: Initialize AFE Configuration
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

docs/zh_CN/audio_front_end/README.rst

@@ -73,7 +73,7 @@ AFE 声学前端算法框架
 使用AFE框架
 ----------------------------
 根据 ``menuconfig`` -> ``ESP Speech Recognition`` 选择需要的AFE的模型，比如WakeNet模型，VAD模型， NS模型等，然后在代码中使用以下步骤调用AFE框架。
-代码可以参考 :project_file:`test_apps/esp-sr/main/test_afe.cpp`。
+代码可以参考 :project_file:`test_apps/esp-sr/main/test_afe.cpp` 或是 or `esp-skainet/examples <https://github.com/espressif/esp-skainet/tree/master/examples>`__.。
 
 步骤1：初始化AFE配置
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

idf_component.yml

@@ -1,4 +1,4 @@
-version: "2.0.0~1-rc.3"
+version: "2.0.0"
 description: esp_sr provides basic algorithms for Speech Recognition applications
 url: https://github.com/espressif/esp-sr
 dependencies: