add some code

managed_components/espressif__esp-sr/model/CMakeLists.txt

@@ -0,0 +1,11 @@
+set(COMPONENT_SRCS
+    model_path.c
+    )
+
+set(COMPONENT_ADD_INCLUDEDIRS .)
+
+set(COMPONENT_REQUIRES
+    spiffs
+    )
+
+register_component()

managed_components/espressif__esp-sr/model/movemodel.py

@@ -0,0 +1,153 @@
+import argparse
+import io
+import math
+import os
+import shutil
+import sys
+
+sys.dont_write_bytecode = True
+from pack_model import pack_models
+
+
+def calculate_total_size(folder_path):
+    total_size = 0
+    for file_name in os.listdir(folder_path):
+        path = os.path.join(folder_path, file_name)
+        if os.path.isdir(path):
+            total_size = total_size + calculate_total_size(path)
+        if os.path.isfile(path):
+            total_size = total_size + os.path.getsize(path)
+    return total_size
+
+def copy_wakenet_from_sdkconfig(model_path, sdkconfig_path, target_path):
+    """
+    Copy wakenet model from model_path to target_path based on sdkconfig
+    """
+    models = []
+    with io.open(sdkconfig_path, "r") as f:
+        for label in f:
+            label = label.strip("\n")
+            if 'CONFIG_SR_WN' in label and  '#' not in label[0]:
+                if '_NONE' in label:
+                    continue
+                if '=' in label:
+                    label = label.split("=")[0]
+                if '_MULTI' in label:
+                    label = label[:-6]
+                model_name = label.split("_SR_WN_")[-1].lower()
+                models.append(model_name)
+
+    for item in models:
+        wakeword_model_path =  model_path + '/wakenet_model/' + item
+        if os.path.exists(wakeword_model_path):
+            shutil.copytree(wakeword_model_path, 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_MN_CN_MULTINET3_SINGLE_RECOGNITION" in models_string:
+        models.append('mn3_cn')
+    elif "CONFIG_SR_MN_CN_MULTINET4_5_SINGLE_RECOGNITION_QUANT8" in models_string:
+        models.append('mn4q8_cn')
+    elif "CONFIG_SR_MN_CN_MULTINET4_5_SINGLE_RECOGNITION" in models_string:
+        models.append('mn4_cn')
+    elif "CONFIG_SR_MN_CN_MULTINET5_RECOGNITION_QUANT8" in models_string:
+        models.append('mn5q8_cn')
+    elif "CONFIG_SR_MN_CN_MULTINET6_QUANT" in models_string:
+        models.append('mn6_cn')
+    elif "CONFIG_SR_MN_CN_MULTINET6_AC_QUANT" in models_string:
+        models.append('mn6_cn_ac')
+    elif "CONFIG_SR_MN_CN_MULTINET7_QUANT" in models_string:
+        models.append('mn7_cn')
+    elif "CONFIG_SR_MN_CN_MULTINET7_AC_QUANT" in models_string:
+        models.append('mn7_cn_ac')
+
+    if "CONFIG_SR_MN_EN_MULTINET5_SINGLE_RECOGNITION_QUANT8" in models_string:
+        models.append('mn5q8_en')
+    elif "CONFIG_SR_MN_EN_MULTINET5_SINGLE_RECOGNITION" in models_string:
+        models.append('mn5_en')
+    elif "CONFIG_SR_MN_EN_MULTINET6_QUANT" in models_string:
+        models.append('mn6_en')
+    elif "CONFIG_SR_MN_EN_MULTINET7_QUANT" in models_string:
+        models.append('mn7_en')
+
+    if "MULTINET6" in models_string or "MULTINET7" in models_string:
+        models.append('fst')
+
+    for item in models:
+        shutil.copytree(model_path + '/multinet_model/' + item, target_path+'/'+item)
+
+
+def copy_nsnet_from_sdkconfig(model_path, sdkconfig_path, target_path):
+    """
+    Copy nsnet 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_NSN' in label and label[0] != '#':
+                models_string += label
+
+    models = []
+    if "CONFIG_SR_NSN_NSNET1" in models_string:
+        models.append('nsnet1')
+    if "CONFIG_SR_NSN_NSNET2" in models_string:
+        models.append('nsnet2')
+
+    for item in models:
+        shutil.copytree(model_path + '/nsnet_model/' + item, target_path+'/'+item)
+
+def copy_vadnet_from_sdkconfig(model_path, sdkconfig_path, target_path):
+    """
+    Copy vadnet 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_VADN' in label and label[0] != '#':
+                models_string += label
+
+    models = []
+    if "CONFIG_SR_VADN_VADNET1_SMALL" in models_string:
+        models.append('vadnet1_small')
+    elif "CONFIG_SR_VADN_VADNET1_MEDIUM" in models_string:
+        models.append('vadnet1_medium')
+    
+    for item in models:
+        shutil.copytree(model_path + '/vadnet_model/' + item, target_path+'/'+item)
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description='Model generator tool')
+    parser.add_argument('-d1', '--sdkconfig_path')
+    parser.add_argument('-d2', '--model_path')
+    parser.add_argument('-d3', '--build_path')
+    args = parser.parse_args()
+
+    sdkconfig_path = args.sdkconfig_path
+    model_path = args.model_path + '/model'
+    target_path = args.build_path + '/srmodels'
+    image_file = "srmodels.bin"
+
+    if os.path.exists(target_path):
+        shutil.rmtree(target_path)
+    os.makedirs(target_path)
+
+    copy_multinet_from_sdkconfig(model_path, sdkconfig_path, target_path)
+    copy_wakenet_from_sdkconfig(model_path, sdkconfig_path, target_path)
+    copy_nsnet_from_sdkconfig(model_path, sdkconfig_path, target_path)
+    copy_vadnet_from_sdkconfig(model_path, sdkconfig_path, target_path)
+    pack_models(target_path, image_file)
+    total_size = os.path.getsize(os.path.join(target_path, image_file))
+    recommended_size = int(math.ceil(total_size/1024))
+    print("Recommended model partition size: %dK" % (recommended_size))

managed_components/espressif__esp-sr/model/multinet_model/fst/commands_cn.txt

@@ -0,0 +1,313 @@
+1,ba xiao shi hou guan ji
+2,ba xiao shi hou kai ji
+3,bi kai wo chui
+4,chao qiang feng su
+5,chao zhe wo chui
+6,chou shi mo shi
+7,chu shi mo shi
+8,da kai bai feng
+9,da kai bing xiang
+10,da kai chou shi mo shi
+11,da kai chu jun
+12,da kai chu shi mo shi
+13,da kai dian fu re
+14,da kai ding chu feng
+15,da kai ding xiang chu wu
+16,da kai er tong fang leng feng
+17,da kai fang zhi chui
+18,da kai feng ji
+19,da kai fu re
+20,da kai gan zao
+21,da kai huan ji tiao wen
+22,da kai jia shi
+23,da kai jing hua
+24,da kai jun yun feng
+25,da kai kong tiao
+26,da kai kong tiao deng guang
+27,da kai mu ying feng
+28,da kai mu qing feng
+29,da kai pai feng mo shi
+30,da kai pai qi
+31,da kai pai qi mo shi
+32,da kai qiang jing
+33,da kai quan wu feng gan
+34,da kai rou feng gan
+35,da kai shang wu feng gan
+36,da kai shang xia bai feng
+37,da kai shang xia sao feng
+38,da kai sen ba
+39,da kai shu sheng
+40,da kai shu shi feng
+41,da kai shui mian
+42,da kai si ji chu shi
+43,da kai si ji chu shi mo shi
+44,da kai song feng
+45,da kai song feng mo shi
+46,da kai wu feng gan
+47,da kai xia wu feng gan
+48,da kai xin feng
+49,da kai xiu xian mo shi
+50,da kai xuan zhuan song feng
+51,da kai yi jian chu wu
+52,da kai zhi leng
+53,da kai zhi leng mo shi
+54,da kai zhi re
+55,da kai zhi re mo shi
+56,da kai zhi kong wen
+57,da kai zhi neng guan jia
+58,da kai zhi neng sha jun
+59,da kai zhi neng sheng dian
+60,da kai zhi qing jie
+61,da kai zhi wen gan
+62,da kai zhuan shu wen du
+63,da kai zi dong mo shi
+64,da kai zuo you bai feng
+65,da kai zuo you sao feng
+66,di feng su
+67,di su feng
+68,di yi dian
+69,dian fu re
+70,tiao cheng zui leng
+71,tiao cheng zui nuan
+72,tiao da feng su
+73,tiao da xin feng
+74,tiao dao er shi ba du
+75,tiao dao er shi du
+76,tiao dao er shi er du
+77,tiao dao er shi jiu du
+78,tiao dao er shi liu du
+79,tiao dao er shi qi du
+80,tiao dao er shi san du
+81,tiao dao er shi si du
+82,tiao dao er shi wu du
+83,tiao dao er shi yi du
+84,tiao dao san shi du
+85,tiao dao shi ba du
+86,tiao dao shi jiu du
+87,tiao dao shi liu du
+88,tiao dao shi qi du
+89,tiao dao zui leng
+90,tiao dao zui nuan
+91,tiao di ling dian wu du
+92,tiao di wen du
+93,tiao di yi du
+94,tiao gao er shi du
+95,tiao gao ling dian wu du
+96,tiao gao wen du
+97,tiao gao wu du
+98,tiao gao yi du
+99,tiao leng yi dian
+100,tiao nuan
+101,tiao nuan yi dian
+102,tiao xiao feng su
+103,tiao xiao xin feng
+104,ding chu feng
+105,ding shi wu rao
+106,ding xiang chu wu
+107,er tong fang leng feng
+108,er dang xin feng
+109,feng da yi dian
+110,feng su da dian
+111,feng su er dang
+112,feng su san dang
+113,feng su xiao dian
+114,feng su yi dang
+115,feng wang shang chui
+116,feng wang xia chui
+117,feng wang you chui
+118,feng wang zhong jian chui
+119,feng wang zuo chui
+120,feng xiang shang chui
+121,feng xiang xia chui
+122,feng xiang you chui
+123,feng xiang zhong jian chui
+124,feng xiang zuo chui
+125,feng xiao yi dian
+126,gao feng su
+127,gao su feng
+128,guan bi bai feng
+129,fang zhi chui
+130,guan bi dian fu re
+131,guan bi ding chu feng
+132,guan bi ding xiang chu wu
+133,guan bi er tong fang leng feng
+134,guan bi fang zhi chui
+135,guan bi feng ji
+136,guan bi fu re
+137,guan bi huan qi
+138,guan bi huan qi mo shi
+139,guan bi jia shi
+140,guan bi jie neng
+141,guan bi jun yun feng
+142,guan bi kong tiao
+143,guan bi kong tiao deng guang
+144,guan bi mu ying feng
+145,guan bi mu qing feng
+146,guan bi qiang jing
+147,guan bi quan wu feng gan
+148,guan bi rou feng gan
+149,guan bi sen ba
+150,guan bi shang wu feng gan
+151,guan bi shang xia bai feng
+152,guan bi shang xia sao feng
+153,guan bi shu sheng
+154,guan bi shui mian
+155,guan bi si ji chu shi
+156,guan bi si ji chu shi mo shi
+157,guan bi wu feng gan
+158,guan bi xia wu feng gan
+159,guan bi xin feng
+160,guan bi xuan zhuan song feng
+161,guan bi yi jian chu wu
+162,guan bi zhi kong wen
+163,guan bi zhi qing jie
+164,guan bi zhong wen bao wen
+165,guan bi zhuan xiang wen du er
+166,guan bi zhuan xiang wen du san
+167,guan bi zhuan xiang wen du yi
+168,guan bi zuo you bai feng
+169,guan bi zuo you sao feng
+170,guan bi zhuan shu wen du
+171,guan diao bai feng
+172,guan diao dian fu re
+173,guan diao ding chu feng
+174,guan diao ding xiang chu wu
+175,guan diao er tong fang leng feng
+176,guan diao fang zhi chui
+177,guan diao gan zao
+178,guan diao huan qi
+179,guan diao huan qi mo shi
+180,guan diao jia shi
+181,guan diao jing hua
+182,guan diao jun yun feng
+183,guan diao kong tiao
+184,guan diao kong tiao deng guang
+185,guan diao qiang jing
+186,guan diao quan wu feng gan
+187,guan diao rou feng gan
+188,guan diao shang wu feng gan
+189,guan diao shang xia bai feng
+190,guan diao shu sheng
+191,guan diao shui mian
+192,guan diao si ji chu shi
+193,guan diao si ji chu shi mo shi
+194,guan diao wu feng gan
+195,guan diao xia wu feng gan
+196,guan diao xin feng
+197,guan diao xuan zhuan song feng
+198,guan diao yi jian chu wu
+199,guan diao zhi kong wen
+200,guan diao zhi qing jie
+201,guan diao zuo you bai feng
+202,guan kong tiao
+203,guan shang xia bai feng
+204,guan shang xia feng
+205,guan xin feng
+206,guan zuo you bai feng
+207,guan zuo you feng
+208,guan bi zhi neng sheng dian
+209,jian xiao feng su
+210,jian xiao pu tong xin feng
+211,jian xiao xin feng
+212,jiang di wen du
+213,jing yin feng
+214,jing yin feng su
+215,jun yun feng
+216,kai kong tiao
+217,kai qi bai feng
+218,kai qi chu shi
+219,kai qi chu shi mo shi
+220,kai qi kong tiao
+221,kai qi pai feng mo shi
+222,kai qi shang xia sao feng
+223,kai qi tong feng
+224,kai qi zhi leng
+225,kai qi zhi leng mo shi
+226,kai qi zhi re
+227,kai qi zhi re mo shi
+228,kai qi zuo you sao feng
+229,kai shi chu wei
+230,kong tiao da kai
+231,kong tiao guan bi
+232,kong tiao guan diao
+233,kong tiao guan ji
+234,kong tiao kai ji
+235,kong tiao kai shi pei wang
+236,kong tiao lian wang
+237,kong tiao chong xin pei wang
+238,kai xin feng
+239,leng yi dian
+240,nuan yi dian
+241,pu tong xin feng
+242,qi dong kong tiao
+243,qiang jing xin feng
+244,qiang li feng
+245,qiang li feng su
+246,qu shi mo shi
+247,quan wu feng gan
+248,rou feng gan
+249,san dang xin feng
+250,shang wu feng gan
+251,shang xia bai feng
+252,shang xia feng
+253,sheng gao wen du
+254,sheng dao zui gao
+255,sheng dao zui gao wei zhi
+256,si dang xin feng
+257,si ji chu shi
+258,si ji chu shi mo shi
+259,song feng mo shi
+260,tai leng le
+261,tai re le
+262,ting zhi shang xia bai feng
+263,ting zhi shang xia sao feng
+264,ting zhi bai feng
+265,ting zhi zhuan shu wen du
+266,ting zhi zuo you bai feng
+267,ting zhi zuo you sao feng
+268,xia wu feng gan
+269,xin feng da dian
+270,xin feng er dang
+271,xin feng qiang jing
+272,xin feng qiang jing dang
+273,xin feng san dang
+274,xin feng si dang
+275,xin feng xiao dian
+276,xin feng yi dang
+277,xin feng zui da
+278,xin feng zui da dang
+279,xin feng zui xiao
+280,xin feng zui xiao dang
+281,xuan zhuan song feng
+282,yi dang xin feng
+283,you dian leng
+284,you dian re
+285,zai gao yi dian
+286,zeng da feng su
+287,zeng da xin feng
+288,zhi leng mo shi
+289,zhi re mo shi
+290,zhi kong wen
+291,zhi neng wu rao
+292,zhi qing jie
+293,zhong deng feng
+294,zhong feng su
+295,zhong su feng
+296,zi dong
+297,zi dong feng
+298,zi dong feng su
+299,zi dong mo shi
+300,zui da feng
+301,zui da feng su
+302,zui da xin feng
+303,zui xiao feng
+304,zui xiao feng su
+305,zui xiao xin feng
+306,zuo you bai feng
+307,zuo you feng
+308,bang wo guan deng
+309,bang wo kai deng
+310,da kai dian deng
+311,guan bi dian deng
+312,xiao le xiao le
+313,xiao xin xiao xin

managed_components/espressif__esp-sr/model/multinet_model/fst/commands_en.txt

@@ -0,0 +1,49 @@
+1,TELL ME A JOKE,TfL Mm c qbK
+2,SING A SONG,Sgl c Sel
+3,PLAY NEWS CHANNEL,PLd NoZ paNcL
+4,TURN ON MY SOUNDBOX,TkN nN Mi StNDBnKS
+5,TURN OFF MY SOUNDBOX,TkN eF Mi StNDBnKS
+5,TURN OF MY SOUNDBOX,TkN cV Mi StNDBnKS
+6,HIGHEST VOLUME,hicST VnLYoM
+7,LOWEST VOLUME,LbcST VnLYoM
+8,INCREASE THE VOLUME,gNKRmS jc VnLYoM
+9,DECREASE THE VOLUME,DgKRmS jc VnLYoM
+10,TURN ON THE TV,TkN nN jc TmVm
+11,TURN OFF THE TV,TkN eF jc TmVm
+11,TURN OF THE TV,TkN cV jc TmVm
+12,MAKE ME A TEA,MdK Mm c Tm
+13,MAKE ME A COFFEE,MdK Mm c KnFm
+14,TURN ON THE LIGHT,TkN nN jc LiT
+15,TURN OFF THE LIGHT,TkN eF jc LiT
+15,TURN OF THE LIGHT,TkN cV jc LiT
+16,CHANGE THE COLOR TO RED,pdNq jc KcLk To RfD
+17,CHANGE THE COLOR TO GREEN,pdNq jc KcLk To GRmN
+18,TURN ON ALL THE LIGHTS,TkN nN eL jc LiTS
+19,TURN OFF ALL THE LIGHTS,TkN eF eL jc LiTS
+19,TURN OF ALL THE LIGHTS,TkN cV eL jc LiTS
+20,TURN ON THE AIR CONDITIONER,TkN nN jc fR KcNDgscNk
+21,TURN OFF THE AIR CONDITIONER,TkN eF jc fR KcNDgscNk
+21,TURN OF THE AIR CONDITIONER,TkN cV jc fR KcNDgscNk
+22,SET THE TEMPERATURE TO SIXTEEN DEGREES,SfT jc TfMPRcpk To SgKSTmN DgGRmZ
+23,SET THE TEMPERATURE TO SEVENTEEN DEGREES,SfT jc TfMPRcpk To SfVcNTmN DgGRmZ
+24,SET THE TEMPERATURE TO EIGHTEEN DEGREES,SfT jc TfMPRcpk To dTmN DgGRmZ
+25,SET THE TEMPERATURE TO NINETEEN DEGREES,SfT jc TfMPRcpk To NiNTmN DgGRmZ
+26,SET THE TEMPERATURE TO TWENTY DEGREES,SfT jc TfMPRcpk To TWfNTm DgGRmZ
+27,SET THE TEMPERATURE TO TWENTY ONE DEGREES,SfT jc TfMPRcpk To TWfNTm WcN DgGRmZ
+28,SET THE TEMPERATURE TO TWENTY TWO DEGREES,SfT jc TfMPRcpk To TWfNTm To DgGRmZ
+29,SET THE TEMPERATURE TO TWENTY THREE DEGREES,SfT jc TfMPRcpk To TWfNTm vRm DgGRmZ
+30,SET THE TEMPERATURE TO TWENTY FOUR DEGREES,SfT jc TfMPRcpk To TWfNTm FeR DgGRmZ
+31,SET THE TEMPERATURE TO TWENTY FIVE DEGREES,SfT jc TfMPRcpk To TWfNTm FiV DgGRmZ
+32,SET THE TEMPERATURE TO TWENTY SIX DEGREES,SfT jc TfMPRcpk To TWfNTm SgKS DgGRmZ
+33,LOWEST FAN SPEED,LbcST FaN SPmD
+34,MEDIUM FAN SPEED,MmDmcM FaN SPmD
+35,HIGHEST FAN SPEED,hicST FaN SPmD
+36,AUTO ADJUST THE FAN SPEED,eTb cqcST jc FaN SPmD
+37,DECREASE THE FAN SPEED,DgKRmS jc FaN SPmD
+38,INCREASE THE FAN SPEED,gNKRmS jc FaN SPmD
+39,INCREASE THE TEMPERATURE,gNKRmS jc TfMPRcpk
+40,DECREASE THE TEMPERATURE,DgKRmS jc TfMPRcpk
+41,COOLING MODE,KoLgl MbD
+42,HEATING MODE,hmTgl MbD
+43,VENTILATION MODE,VfNTcLdscN MbD
+44,DEHUMIDIFY MODE,DmhYoMgDcFi MbD

managed_components/espressif__esp-sr/model/multinet_model/mn3_cn/_MODEL_INFO_

@@ -0,0 +1 @@
+MN220_217375_multiwords_220_217375_0.90

managed_components/espressif__esp-sr/model/multinet_model/mn4_cn/_MODEL_INFO_

@@ -0,0 +1 @@
+MN231_617165_multiwords_231_617165_0.90

managed_components/espressif__esp-sr/model/multinet_model/mn4cn/_MODEL_INFO_

@@ -0,0 +1 @@
+MN231_146150_multiwords_231_146150_0.90

managed_components/espressif__esp-sr/model/multinet_model/mn4q8_cn/_MODEL_INFO_

@@ -0,0 +1 @@
+MN235_668040_multiwords_235_668040_0.90

managed_components/espressif__esp-sr/model/multinet_model/mn5q8_cn/_MODEL_INFO_

@@ -0,0 +1,2 @@
+# (neural network type)_(model data version)_(lable1_detection windown length_threshold for 90%_threshold for 95%)_(lable2 ...)_...
+MN5Q8_v2_chinese_8_0.9_0.90

managed_components/espressif__esp-sr/model/multinet_model/mn5q8_en/_MODEL_INFO_

@@ -0,0 +1 @@
+MN5Q8_v2_english_8_0.9_0.90

managed_components/espressif__esp-sr/model/multinet_model/mn6_cn/_MODEL_INFO_

@@ -0,0 +1,2 @@
+# (neural network type)_(model data version)_(lable1_detection windown length_threshold for 90%_threshold for 95%)_(lable2 ...)_...
+MN6_v3_chinese_8_0.9_0.90

managed_components/espressif__esp-sr/model/multinet_model/mn6_cn/vocab

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managed_components/espressif__esp-sr/model/multinet_model/mn6_cn_ac/_MODEL_INFO_

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+# (neural network type)_(model data version)_(lable1_detection windown length_threshold for 90%_threshold for 95%)_(lable2 ...)_...
+MN6_AC_chinese_8_0.9_0.90

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managed_components/espressif__esp-sr/model/multinet_model/mn6_en/_MODEL_INFO_

@@ -0,0 +1,2 @@
+# (neural network type)_(model data version)_(lable1_detection windown length_threshold for 90%_threshold for 95%)_(lable2 ...)_...
+MN6_v11_english_8_0.9_0.90

managed_components/espressif__esp-sr/model/multinet_model/mn6_en/vocab

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managed_components/espressif__esp-sr/model/multinet_model/mn7_cn/_MODEL_INFO_

@@ -0,0 +1,2 @@
+# (neural network type)_(model data version)_(lable1_detection windown length_threshold for 90%_threshold for 95%)_(lable2 ...)_...
+MN7_v1_chinese_8_0.9_0.90

managed_components/espressif__esp-sr/model/multinet_model/mn7_cn/vocab

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managed_components/espressif__esp-sr/model/multinet_model/mn7_cn_ac/_MODEL_INFO_

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managed_components/espressif__esp-sr/model/multinet_model/mn7_en/_MODEL_INFO_

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+# (neural network type)_(model data version)_(lable1_detection windown length_threshold for 90%_threshold for 95%)_(lable2 ...)_...
+MN7_v2_english_8_0.9_0.90

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+▁hfLP	-8.00141
+▁NgR	-8.02016
+▁mVgN	-8.02157
+▁gNKLoD	-8.02707
+▁Ycl	-8.04963
+▁SgTm	-8.05047
+▁MoV	-8.06119
+▁qf	-8.06562
+▁WgvtT	-8.06755
+▁fVkm	-8.07061
+▁Ln	-8.07269
+▁Lo	-8.08834
+▁KtNT	-8.09315
+▁cNcjk	-8.09509
+▁LnRq	-8.09678
+▁bPcN	-8.09941
+▁Fnjk	-8.09952
+▁FRfND	-8.1047
+▁KeLD	-8.11978
+▁WkLD	-8.12246
+▁WeTk	-8.13249
+▁LfFT	-8.14443
+▁TwK	-8.15221
+▁TRo	-8.17328
+▁ScMvgl	-8.17768
+▁PRg	-8.17899
+▁DwRgl	-8.18843
+▁SfVRcL	-8.20676
+▁Ncvgl	-8.21837
+▁Ri	-8.22799
+▁SMeL	-8.2586
+▁BgKdM	-8.26814
+▁PLaN	-8.27884
+▁eLWdZ	-8.28205
+▁TeK	-8.29486
+▁BwK	-8.30129
+▁PwT	-8.31272
+▁BgTWmN	-8.31697
+▁RgTkN	-8.33086
+▁aSKT	-8.33259
+▁BeRN	-8.33271
+▁Da	-8.3384
+▁SfKcND	-8.3531
+▁RgMdN	-8.36742
+▁qfNkcL	-8.37399
+▁PRgNS	-8.3743
+▁KcNTgNYo	-8.38148
+▁pgLDRcN	-8.38604
+▁pdNq	-8.3899
+▁FaMcLm	-8.41463
+▁KcNSgDk	-8.43512
+▁BgKeZ	-8.44313
+▁haPcN	-8.46647
+STRcK	-8.46792
+▁qnN	-8.46846
+▁Stv	-8.47119
+▁NfKST	-8.48221
+▁BgLmV	-8.48721
+▁fNmvgl	-8.49723
+▁WwMcN	-8.50511

managed_components/espressif__esp-sr/model/nsnet_model/nsnet1/_MODEL_INFO_

@@ -0,0 +1,2 @@
+# (neural network type)_(model data version)_ns_0_0.0_0.0
+nsnet1_v1_ns_0_0.0_0.0

managed_components/espressif__esp-sr/model/nsnet_model/nsnet2/_MODEL_INFO_

@@ -0,0 +1,2 @@
+# (neural network type)_(model data version)_ns_0_0.0_0.0
+nsnet2_v1_ns_0_0.0_0.0

managed_components/espressif__esp-sr/model/pack_model.py

@@ -0,0 +1,123 @@
+import os
+import struct
+import argparse
+
+
+def struct_pack_string(string, max_len=None):
+    """
+    pack string to binary data. 
+    if max_len is None, max_len = len(string) + 1
+    else len(string) < max_len, the left will be padded by struct.pack('x')
+
+    string: input python string
+    max_len: output
+    """
+    
+    if max_len == None :
+        max_len = len(string)
+    else:
+        assert len(string) <= max_len
+
+    left_num = max_len - len(string)
+    out_bytes = None
+    for char in string:
+        if out_bytes == None:
+            out_bytes = struct.pack('b', ord(char))
+        else:
+            out_bytes += struct.pack('b', ord(char))
+    for i in range(left_num):
+        out_bytes += struct.pack('x')
+    return out_bytes
+
+def read_data(filename):
+    """
+    Read binary data, like index and mndata
+    """
+    data = None
+    with open(filename, "rb") as f:
+        data = f.read()
+    return data
+
+def pack_models(model_path, out_file="srmodels.bin"):
+    """
+    Pack all models into one binary file by the following format:
+    {
+        model_num: int
+        model1_info: model_info_t
+        model2_info: model_info_t
+        ...
+        model1_index,model1_data,model1_MODEL_INFO
+        model1_index,model1_data,model1_MODEL_INFO
+        ...
+    }model_pack_t
+
+    {
+        model_name: char[32]
+        file_number: int
+        file1_name: char[32]
+        file1_start: int  
+        file1_len: int 
+        file2_name: char[32]
+        file2_start: int   // data_len = info_start - data_start
+        file2_len: int
+        ...
+    }model_info_t
+
+    model_path: the path of models
+    out_file: the ouput binary filename
+    """
+
+    models = {}
+    file_num = 0
+    model_num = 0
+    for root, dirs, _ in os.walk(model_path):
+        for model_name in dirs:
+            models[model_name] = {}
+            model_dir = os.path.join(root, model_name)
+            model_num += 1
+            for _, _, files in os.walk(model_dir):
+                for file_name in files:
+                    file_num += 1
+                    file_path = os.path.join(model_dir, file_name)
+                    models[model_name][file_name] = read_data(file_path)
+    
+    model_num = len(models)
+    header_len = 4 + model_num*(32+4) + file_num*(32+4+4) 
+    out_bin = struct.pack('I', model_num)  # model number
+    data_bin = None
+    for key in models:
+        model_bin = struct_pack_string(key, 32) # + model name
+        model_bin += struct.pack('I', len(models[key])) # + file number in this model
+        
+        for file_name in models[key]:
+            model_bin += struct_pack_string(file_name, 32) # + file name
+            if data_bin == None:
+                model_bin += struct.pack('I', header_len) 
+                data_bin = models[key][file_name]
+                model_bin += struct.pack('I', len(models[key][file_name]))
+                # print(file_name, header_len, len(models[key][file_name]), len(data_bin))
+            else:
+                model_bin += struct.pack('I', header_len+len(data_bin))
+                # print(file_name, header_len+len(data_bin), len(models[key][file_name]))
+                data_bin += models[key][file_name]
+                model_bin += struct.pack('I', len(models[key][file_name]))
+        
+        out_bin += model_bin
+    assert len(out_bin) == header_len
+    if data_bin != None:
+        out_bin += data_bin
+
+    out_file = os.path.join(model_path, out_file)
+    with open(out_file, "wb") as f:
+        f.write(out_bin)
+
+
+if __name__ == "__main__":
+    # input parameter
+    parser = argparse.ArgumentParser(description='Model package tool')
+    parser.add_argument('-m', '--model_path', help="the path of model files")
+    parser.add_argument('-o', '--out_file', default="srmodels.bin", help="the path of binary file")
+    args = parser.parse_args()
+
+    # convert(args.model_path, args.out_file)
+    pack_models(model_path=args.model_path, out_file=args.out_file)

managed_components/espressif__esp-sr/model/target/fst/commands.txt

@@ -0,0 +1,49 @@
+1	▁TE	LL	▁ME	▁A	▁JO	KE
+2	▁S	ING	▁A	▁SO	NG
+3	▁PLAY	▁NEW	S	▁CHA	N	N	EL
+4	▁TURN	▁ON	▁MY	▁SO	UND	BO	X
+5	▁TURN	▁OF	F	▁MY	▁SO	UND	BO	X
+5	▁TURN	▁OF	▁MY	▁SO	UND	BO	X
+6	▁HIGH	EST	▁	VO	LU	ME
+7	▁	LOW	EST	▁	VO	LU	ME
+8	▁IN	C	RE	A	SE	▁THE	▁	VO	LU	ME
+9	▁DE	C	RE	A	SE	▁THE	▁	VO	LU	ME
+10	▁TURN	▁ON	▁THE	▁T	V
+11	▁TURN	▁OF	F	▁THE	▁T	V
+11	▁TURN	▁OF	▁THE	▁T	V
+12	▁MAKE	▁ME	▁A	▁TE	A
+13	▁MAKE	▁ME	▁A	▁CO	FF	E	E
+14	▁TURN	▁ON	▁THE	▁	L	IGHT
+15	▁TURN	▁OF	F	▁THE	▁	L	IGHT
+15	▁TURN	▁OF	▁THE	▁	L	IGHT
+16	▁CHA	NG	E	▁THE	▁COL	OR	▁TO	▁RE	D
+17	▁CHA	NG	E	▁THE	▁COL	OR	▁TO	▁G	RE	EN
+18	▁TURN	▁ON	▁ALL	▁THE	▁	L	IGHT	S
+19	▁TURN	▁OF	F	▁ALL	▁THE	▁	L	IGHT	S
+19	▁TURN	▁OF	▁ALL	▁THE	▁	L	IGHT	S
+20	▁TURN	▁ON	▁THE	▁A	IR	▁CON	D	ITION	ER
+21	▁TURN	▁OF	F	▁THE	▁A	IR	▁CON	D	ITION	ER
+21	▁TURN	▁OF	▁THE	▁A	IR	▁CON	D	ITION	ER
+22	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁SIX	TE	EN	▁DE	G	RE	ES
+23	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁SE	VEN	TE	EN	▁DE	G	RE	ES
+24	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁E	IGHT	E	EN	▁DE	G	RE	ES
+25	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁NI	NE	TE	EN	▁DE	G	RE	ES
+26	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁T	W	ENT	Y	▁DE	G	RE	ES
+27	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁T	W	ENT	Y	▁ONE	▁DE	G	RE	ES
+28	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁T	W	ENT	Y	▁TWO	▁DE	G	RE	ES
+29	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁T	W	ENT	Y	▁THREE	▁DE	G	RE	ES
+30	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁T	W	ENT	Y	▁FOUR	▁DE	G	RE	ES
+31	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁T	W	ENT	Y	▁F	IVE	▁DE	G	RE	ES
+32	▁SE	T	▁THE	▁TE	MP	ER	A	TURE	▁TO	▁T	W	ENT	Y	▁SIX	▁DE	G	RE	ES
+33	▁	LOW	EST	▁FA	N	▁SP	E	ED
+34	▁ME	DI	UM	▁FA	N	▁SP	E	ED
+35	▁HIGH	EST	▁FA	N	▁SP	E	ED
+36	▁A	UT	O	▁A	D	J	US	T	▁THE	▁FA	N	▁SP	E	ED
+37	▁DE	C	RE	A	SE	▁THE	▁FA	N	▁SP	E	ED
+38	▁IN	C	RE	A	SE	▁THE	▁FA	N	▁SP	E	ED
+39	▁IN	C	RE	A	SE	▁THE	▁TE	MP	ER	A	TURE
+40	▁DE	C	RE	A	SE	▁THE	▁TE	MP	ER	A	TURE
+41	▁CO	OL	ING	▁MO	DE
+42	▁HE	AT	ING	▁MO	DE
+43	▁	VEN	T	IL	ATION	▁MO	DE
+44	▁DE	H	UM	ID	I	F	Y	▁MO	DE

managed_components/espressif__esp-sr/model/target/fst/fst.txt

@@ -0,0 +1,179 @@
+0	1	▁TE	1
+0	2	▁S	2
+0	3	▁PLAY	3
+0	4	▁TURN	0
+0	5	▁HIGH	0
+0	6	▁	0
+0	7	▁IN	0
+0	8	▁DE	0
+0	9	▁MAKE	0
+0	10	▁CHA	0
+0	11	▁SE	0
+0	12	▁ME	34
+0	13	▁A	36
+0	14	▁CO	41
+0	15	▁HE	42
+1	16	LL	0
+2	17	ING	0
+3	20	▁NEW	0
+4	21	▁ON	0
+4	22	▁OF	0
+5	23	EST	0
+6	25	LOW	0
+6	26	VEN	43
+7	27	C	0
+8	28	C	0
+8	29	H	44
+9	30	▁ME	0
+10	32	NG	0
+11	33	T	0
+12	37	DI	0
+13	38	UT	0
+14	19	OL	0
+15	19	AT	0
+16	31	▁ME	0
+17	39	▁A	0
+18	95	▁MO	0
+19	18	ING	0
+20	44	S	0
+21	45	▁MY	4
+21	46	▁THE	0
+21	47	▁ALL	18
+22	48	F	0
+22	45	▁MY	5
+22	49	▁THE	0
+22	47	▁ALL	19
+23	50	▁	6
+23	51	▁FA	35
+24	50	▁	7
+24	51	▁FA	33
+25	24	EST	0
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+28	53	RE	0
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+36	84	IL	0
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+39	74	▁SO	0
+40	92	▁TE	12
+40	93	▁CO	13
+41	96	▁JO	0
+42	109	D	0
+43	42	▁A	0
+44	76	▁CHA	0
+45	75	▁SO	0
+46	77	▁T	10
+46	78	▁	14
+46	79	▁A	20
+47	68	▁THE	0
+48	45	▁MY	5
+48	49	▁THE	0
+48	47	▁ALL	19
+49	77	▁T	11
+49	78	▁	15
+49	79	▁A	21
+50	80	VO	0
+51	81	N	0
+52	85	A	0
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+64	63	E	0
+65	130	EN	0
+66	65	E	0
+67	94	▁TE	0
+68	101	▁	0
+69	105	▁COL	0
+70	50	▁	8
+70	51	▁FA	38
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+71	70	▁THE	0
+72	50	▁	9
+72	51	▁FA	37
+72	108	▁TE	40
+73	72	▁THE	0
+74	97	NG	0
+75	98	UND	0
+76	82	N	0
+77	97	V	0
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+81	62	▁SP	0
+82	83	N	0
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+92	97	A	0
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+95	97	DE	0
+96	97	KE	0
+97
+98	112	BO	0
+99	97	IGHT	0
+100	116	IGHT	0
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+118	130	▁TWO	28
+118	130	▁THREE	29
+118	130	▁FOUR	30
+118	132	▁F	31
+118	130	▁SIX	32
+119	118	Y	0
+120	124	▁RE	16
+120	55	▁G	17
+121	125	▁SIX	22
+121	126	▁SE	23
+121	117	▁E	24
+121	127	▁NI	25
+121	128	▁T	0
+122	121	▁TO	0
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+126	125	VEN	0
+127	125	NE	0
+128	129	W	0
+129	119	ENT	0
+130	131	▁DE	0
+131	57	G	0
+132	130	IVE	0

managed_components/espressif__esp-sr/model/target/fst/fst_reversed.txt

@@ -0,0 +1,188 @@
+0	1	KE	1
+0	2	NG	2
+0	3	EL	3
+0	4	X	0
+0	5	ME	0
+0	6	V	0
+0	7	A	12
+0	8	E	13
+0	9	IGHT	0
+0	10	D	16
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+0	13	ER	0
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+2	19	▁SO	0
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+99	112	▁SIX	32
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+105
+106	118	▁NEW	0
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+123	105	▁HIGH	35
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+126	131	UM	0
+127	29	▁SE	0
+128	29	▁NI	0
+129	105	▁ME	0
+130	133	US	0
+131	134	H	0
+132	105	▁CHA	0
+133	84	J	0
+134	105	▁DE	0
+135	105	▁IN	8
+135	105	▁DE	9
+136	105	▁DE	37
+136	105	▁IN	38
+137	105	▁IN	39
+137	105	▁DE	40
+138	139	UT	0
+139	105	▁A	0

managed_components/espressif__esp-sr/model/target/fst/tokens.txt

@@ -0,0 +1,99 @@
+<blk>	0
+S	3
+▁THE	4
+T	5
+▁A	6
+N	7
+D	8
+ED	9
+E	10
+▁OF	11
+Y	12
+▁S	14
+▁IN	15
+▁TO	17
+▁	18
+A	19
+ING	20
+O	22
+▁HE	24
+ER	25
+C	26
+G	27
+I	28
+L	29
+RE	31
+F	37
+▁RE	38
+W	40
+▁E	45
+OR	50
+▁F	51
+ES	55
+LL	56
+ENT	65
+H	66
+▁DE	68
+▁G	71
+EN	72
+▁ON	73
+SE	74
+▁T	75
+▁ME	78
+IL	81
+NE	86
+TE	87
+▁SO	89
+ATION	90
+NG	92
+ME	93
+▁CON	95
+EL	103
+IR	115
+▁MO	117
+▁CO	119
+▁SE	122
+▁FA	136
+V	138
+US	146
+▁ALL	151
+X	152
+IVE	156
+▁ONE	157
+KE	159
+▁TE	175
+AT	178
+LU	180
+MP	182
+▁SP	186
+▁MY	188
+DE	193
+IGHT	196
+UT	198
+EST	204
+UND	209
+FF	216
+J	220
+▁CHA	226
+OL	227
+▁TWO	237
+ID	251
+UM	256
+VO	259
+DI	266
+LOW	281
+TURE	286
+▁NEW	304
+ITION	310
+BO	312
+VEN	326
+▁PLAY	338
+▁JO	356
+▁THREE	367
+▁COL	375
+▁HIGH	381
+▁FOUR	424
+▁MAKE	430
+▁NI	446
+▁TURN	457
+▁SIX	483

managed_components/espressif__esp-sr/model/target/mn6_en_ctc/_MODEL_INFO_

@@ -0,0 +1,2 @@
+# (neural network type)_(model data version)_(lable1_detection windown length_threshold for 90%_threshold for 95%)_(lable2 ...)_...
+MN6_v11_english_8_0.9_0.90

managed_components/espressif__esp-sr/model/target/wn9_hiesp/_MODEL_INFO_

@@ -0,0 +1 @@
+wakeNet9_v1h24_hiesp_3_0.63_0.635

managed_components/espressif__esp-sr/model/vadnet_model/vadnet1_medium/_MODEL_INFO_

@@ -0,0 +1 @@
+vadnet1_mediumv1_Speech_1_0.5_0.1

managed_components/espressif__esp-sr/model/wakenet_model/wn7_xiaoaitongxue/_MODEL_INFO_

@@ -0,0 +1 @@
+wakeNet7_v1_小爱同学_6_0.97_0.92

managed_components/espressif__esp-sr/model/wakenet_model/wn7q8_xiaoaitongxue/_MODEL_INFO_

@@ -0,0 +1 @@
+wakeNet7Q8_v1h8_小爱同学_5_0.97_0.98

managed_components/espressif__esp-sr/model/wakenet_model/wn8_alexa/_MODEL_INFO_

@@ -0,0 +1 @@
+wakeNet8_v5h8_Alexa_5_0.57_0.60

managed_components/espressif__esp-sr/model/wakenet_model/wn8_hiesp/_MODEL_INFO_

@@ -0,0 +1 @@
+WakeNet8_v3h8_Hi,ESP_5_0.60_0.616

managed_components/espressif__esp-sr/model/wakenet_model/wn8_hilexin/_MODEL_INFO_

@@ -0,0 +1 @@
+WakeNet8_v3h8_嗨乐鑫_5_0.625_0.635

managed_components/espressif__esp-sr/model/wakenet_model/wn9_alexa/_MODEL_INFO_

@@ -0,0 +1 @@
+wakenet9l_v4h8_Alexa_3_0.640_0.650

managed_components/espressif__esp-sr/model/wakenet_model/wn9_astrolabe_tts/_MODEL_INFO_

@@ -0,0 +1 @@
+wakenet9l_tts1h8_Astrolabe_3_0.625_0.632

managed_components/espressif__esp-sr/model/wakenet_model/wn9_bluechip_tts2/_MODEL_INFO_

@@ -0,0 +1 @@
+wakenet9_tts2h12_BlueChip_3_0.622_0.626

managed_components/espressif__esp-sr/model/wakenet_model/wn9_computer_tts/_MODEL_INFO_

@@ -0,0 +1 @@
+wakenet9l_tts1h8_Computer_3_0.648_0.650

managed_components/espressif__esp-sr/model/wakenet_model/wn9_customword/_MODEL_INFO_

@@ -0,0 +1 @@
+WakeNet9_v1h24_小爱同学_3_0.620_0.627

managed_components/espressif__esp-sr/model/wakenet_model/wn9_haixiaowu_tts/_MODEL_INFO_

@@ -0,0 +1 @@
+wakenet9l_tts2h8_Hi,小巫_3_0.639_0.642

managed_components/espressif__esp-sr/model/wakenet_model/wn9_heyily_tts2/_MODEL_INFO_

@@ -0,0 +1 @@
+wakenet9l_tts2h12_Hey,Ily_3_0.630_0.635