添加aec前备份

diff --git a/2.code/aicos/app/AI_AMP_2_5/AI_AMP_2_5.c b/2.code/aicos/app/AI_AMP_2_5/AI_AMP_2_5.c
index b4895da..c0f1708 100644 (file)
--- a/2.code/aicos/app/AI_AMP_2_5/AI_AMP_2_5.c
+++ b/2.code/aicos/app/AI_AMP_2_5/AI_AMP_2_5.c
@@ -50,7 +50,47 @@ void VC_record_Start(void);
 //连接websocket
 static int websocket_connect_VC(void);
 static void websocket_deconnect_VC(void);
+#include <stdio.h>
+#include <stdlib.h>
 
+#define SCALE_FACTOR 10000  // 用于缩放的因子
+// 高级声学回声消除算法（基于NLMS），不使用浮点运算
+void aec(short *input_signal, short *reference_signal, short *output_signal, int num_samples, int filter_length) {
+    int *filter_weights = (int *)calloc(filter_length, sizeof(int));
+    if (filter_weights == NULL) {
+        fprintf(stderr, "内存分配失败\n");
+        return;
+    }
+
+    int mu = 5000; // 步长因子，相当于浮点的0.5 * SCALE_FACTOR
+    int delta = 1; // 正则化参数，避免分母为零
+
+    for (int n = filter_length; n < num_samples; n++) {
+        int echo_estimate = 0;
+        // 计算估计的回声
+        for (int i = 0; i < filter_length; i++) {
+            echo_estimate += filter_weights[i] * reference_signal[n - i - 1];
+        }
+        echo_estimate /= SCALE_FACTOR;
+
+        // 计算误差信号（消除回声后的信号）
+        output_signal[n] = input_signal[n] - (echo_estimate);
+
+        // 计算参考信号的能量
+        int energy = 0;
+        for (int i = 0; i < filter_length; i++) {
+            energy += reference_signal[n - i - 1] * reference_signal[n - i - 1];
+        }
+
+        // 使用NLMS算法更新滤波器权重
+        int step = (mu * SCALE_FACTOR) / (energy + delta);
+        for (int i = 0; i < filter_length; i++) {
+            filter_weights[i] += (step * output_signal[n] * reference_signal[n - i - 1]) / SCALE_FACTOR;
+        }
+    }
+
+    free(filter_weights);
+}
 int play_data_len = 0;
 //关闭音频播放
 void VC_Play_End(void);
@@ -601,11 +641,11 @@ static void AI_VC_play_task(void *thread_input)//音频播放线程
 
                 // int audio_play_time = AI_VC_play_queue_data.len*1000/32000+1;
                 ret = app_audio_write(APP_AUDIO_TYPE_STREAM_DUPLEX,
-                    AI_VC_play_queue_data.data, AI_VC_play_queue_data.len, AOS_WAIT_FOREVER);
+                    AI_VC_play_queue_data.data, AI_VC_play_queue_data.len, 2000);
                 //audio_data(AI_VC_play_queue_data.data,AI_VC_play_queue_data.len,20);
                 if (ret < 0)
                     bk_printf("app_audio_write error, ret=%d\n", ret);
-                // for(int i = 0;i<=AI_VC_play_queue_data.len/sizeof(play_tmp_d);i++)//分段写
+                // for(int i = 0;i<=AI_VC_play_queue_data.len/sizeof(play_tmp_d);i++)//分段写，一次写入小于640会出问题
                 // {
                 //     int play_tmp_d_len  = sizeof(play_tmp_d);
                 //     memset(play_tmp_d,0,play_tmp_d_len);
@@ -948,7 +988,7 @@ void AI_VC_start(void)
 void AI_VC_Close(void)
 {
     bk_printf("AI_VC_Close!!!!!!!!!!!!");
-    app_audio_stop(APP_AUDIO_TYPE_STREAM_DUPLEX, NULL);
+    
      //销毁发送线程
      if(AI_VC_record_task_id != 0)
      {
@@ -1018,6 +1058,7 @@ void AI_VC_Close(void)
         AI_VC_1S_timer = NULL;
     }
     close_timerout = 0;
+    app_audio_stop(APP_AUDIO_TYPE_STREAM_DUPLEX, NULL);//要在销毁线程之后
 }
 aos_status AI_AMP_MSG_put(const char *data,u32 len,AI_AMP_MSG_Type MSG_Type)
 {