add hi M Five model

CHANGELOG.md

@@ -4,6 +4,12 @@
 - Available storage is less than the remaining flash space on IDF v5.0.   
 If you can not map model partition successfully, please check the left free storage by `spi_flash_mmap_get_free_pages(ESP_PARTITION_MMAP_DATA)` or update IDF to v5.1 or later.
 
+## unrelease
+- Add esp32c6 tts lib
+- Return the volume of wake word audio when one wake word is detected
+- Reduce MultiNet6 SRAM size from 48KB to 32 KB
+- Add "Hi M Five" wake word model from M5Stack
+
 ## 1.4.2
 - Reset timeout trigger of multinet6 when a new speech command is detected
 - Allocate all beams from PSRAM

Kconfig.projbuild

@@ -80,6 +80,10 @@ choice SR_WN_MODEL_LOAD
     config SR_WN_WN9_HIESP
         bool "Hi,ESP (wn9_hiesp)"
         depends on IDF_TARGET_ESP32S3
+    
+    config SR_WN_WN9_HIMFIVE
+        bool "Hi,M Five (wn9_himfive)"
+        depends on IDF_TARGET_ESP32S3
 
     config SR_WN_WN9_NIHAOXIAOZHI
         bool "nihaoxiaozhi (wn9_nihaoxiaozhi)"

idf_component.yml

@@ -8,10 +8,4 @@ files:
   exclude:
     - ".github"
     - "docs/**/*"
-    - "test_apps/**/*"
-targets:
-  - esp32
-  - esp32s2
-  - esp32s3
-  - esp32c3
-  - esp32c6
+    - "test_apps/**/*"

model/movemodel.py

@@ -47,6 +47,28 @@ def copy_wakenet_from_sdkconfig(model_path, sdkconfig_path, target_path):
         models.append('wn9_alexa')
     if "CONFIG_SR_WN_WN9_HIESP" in models_string:
         models.append('wn9_hiesp')
+    if "CONFIG_SR_WN_WN9_HIMFIVE" in models_string:
+        models.append('wn9_himfive')
+    if "CONFIG_SR_WN_WN9_NIHAOXIAOZHI" in models_string:
+        models.append('wn9_nihaoxiaozhi')
+    if "CONFIG_SR_WN_WN9_CUSTOMWORD" in models_string:
+        models.append('wn9_customword')
+    
+    for item in models:
+        shutil.copytree(model_path + '/wakenet_model/' + item, target_path+'/'+item)
+
+def copy_multinet_from_sdkconfig(model_path, sdkconfig_path, target_path):
+    """
+    Copy multinet model from model_path to target_path based on sdkconfig
+    """
+    with io.open(sdkconfig_path, "r") as f:
+        models_string = ''
+        for label in f:
+            label = label.strip("\n")
+            if 'CONFIG_SR_MN' in label and label[0] != '#':
+                models_string += label
+
+    models = []
     if "CONFIG_SR_WN_WN9_NIHAOXIAOZHI" in models_string:
         models.append('wn9_nihaoxiaozhi')
     if "CONFIG_SR_WN_WN9_CUSTOMWORD" in models_string:

model/wakenet_model/wn9_himfive/_MODEL_INFO_

@@ -0,0 +1,2 @@
+# (neural network type)_(model data version)_(lable1_detection windown length_threshold for 90%_threshold for 95%)_(lable2 ...)_...
+wakenet9l_v2h8_himfive_3_0.640_0.645