feat/add multinet6 en v1

Kconfig.projbuild

@@ -160,6 +160,10 @@ choice ENGLISH_SR_MN_MODEL_SEL
     config SR_MN_EN_MULTINET5_SINGLE_RECOGNITION_QUANT8
         bool "english recognition (mn5q8_en)"
         depends on IDF_TARGET_ESP32S3
+    
+    config SR_MN_EN_MULTINET6_QUANT
+        bool "english recognition (mn6_en)"
+        depends on IDF_TARGET_ESP32S3
 
 endchoice
 

include/esp32s3/dl_lib_convq8_queue.h

@@ -50,6 +50,16 @@ dl_convq8_queue_t *dl_convq8_queue_alloc(int n, int c);
  */
 dl_convq8_queue_t *dl_convq8_queue_alloc_mc(int n, int c, int nch);
 
+/**
+ * @brief Allocate a bit fixed-point convolution queue from PSRAM
+ *
+ * @param n     The length of queue
+ * @param c     The number of elements in the queue
+ * @param nch     The channel of queue
+ * @return      The convolution queue, or NULL if out of memory
+ */
+dl_convq8_queue_t *dl_convq8_queue_alloc_mc_from_psram(int n, int c, int nch);
+
 /**
  * @brief Free a fixed-point convolution queue
  *

include/esp32s3/dl_lib_convq_queue.h

@@ -93,8 +93,8 @@ void dl_convq_queue_bzero(dl_convq_queue_t *cq);
  * @param cq    Input fixed-point convolution queue
  * @return      Pointer of oldest element  
  */
-inline qtp_t *dl_convq_queue_pop(dl_convq_queue_t *cq);
-inline qtp_t *dl_convq_queue_popn(dl_convq_queue_t *cq, int n);
+qtp_t *dl_convq_queue_pop(dl_convq_queue_t *cq);
+qtp_t *dl_convq_queue_popn(dl_convq_queue_t *cq, int n);
 /**
  * @brief  Remove the oldest element, then insert the input element at the end of queue
  *
@@ -125,7 +125,7 @@ dl_conv_queue_t *dl_queue_from_convq(dl_convq_queue_t *cq1);
  * @param last_num  Offset from the front of the queue
  * @return          Pointer of the element
  */
-inline qtp_t *dl_get_queue_itemq(dl_convq_queue_t *cq, int last_num);
+qtp_t *dl_get_queue_itemq(dl_convq_queue_t *cq, int last_num);
 
 /**
  * @brief   Get the pointer of element in the queue by offset

include/esp32s3/esp_mn_iface.h

@@ -17,6 +17,17 @@ typedef enum {
     ESP_MN_STATE_TIMEOUT = 2,       // time out
 } esp_mn_state_t;
 
+typedef enum {
+	ESP_MN_GREEDY_SEARCH = 0,        // greedy search
+	ESP_MN_BEAM_SEARCH = 1,          // beam search
+    ESP_MN_BEAM_SEARCH_WIRH_LM = 2,  // beam search with language model
+} esp_mn_search_method_t;
+
+typedef enum {
+	CHINESE_ID = 1,       // Chinese language
+	ENGLISH_ID = 2,       // English language
+} language_id_t;
+
 // Return all possible recognition results
 typedef struct{
     esp_mn_state_t state;
@@ -24,8 +35,10 @@ typedef struct{
     int command_id[ESP_MN_RESULT_MAX_NUM];     // The list of command id.
     int phrase_id[ESP_MN_RESULT_MAX_NUM];      // The list of phrase id.
     float prob[ESP_MN_RESULT_MAX_NUM];         // The list of probability.
+    char string[256];
 } esp_mn_results_t;
 
+
 typedef struct{
     int16_t num;                                // The number of error phrases, which can not added into model
     int16_t phrase_idx[ESP_MN_MAX_PHRASE_NUM];  // The error phrase index in singly linked list．

model/movemodel.py

@@ -73,6 +73,8 @@ if "CONFIG_SR_MN_EN_MULTINET5_SINGLE_RECOGNITION_QUANT8" in MN_STRING and len(mu
     multinet_model.append('mn5q8_en')
 elif "CONFIG_SR_MN_EN_MULTINET5_SINGLE_RECOGNITION" in MN_STRING and len(multinet_model) < 2:
     multinet_model.append('mn5_en')
+elif "CONFIG_SR_MN_EN_MULTINET6_QUANT" in MN_STRING and len(multinet_model) < 2:
+    multinet_model.append('mn6_en')
 
 print(wakenet_model)
 print(multinet_model)

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_v1_english_8_0.9_0.90

model/multinet_model/mn6s_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_v1_english_8_0.9_0.90

model/wakenet_model/wn9_customword/_MODEL_INFO_

@@ -1 +1,2 @@
-WakeNet9_v1h24_xiaoaitongxue_3_0.620_0.627
+# (neural network type)_(model data version)_(lable1_detection windown length_threshold for 90%_threshold for 95%)_(lable2 ...)_...
+wakeNet9l_v2h8_bangwotiaocheng_3_0.98_0.99_bangwodakai_3_0.98_0.99_bangwoguanbi_3_0.98_0.99