From ba4256ecabf8df17cb8d89f8803ea1cea9b7f349 Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 23 三月 2023 17:16:14 +0800
Subject: [PATCH] Merge pull request #285 from alibaba-damo-academy/dev_gzf

---
 funasr/runtime/python/websocket/ASR_server.py |  100 ++++++++++++++++++++++++++-----------------------
 1 files changed, 53 insertions(+), 47 deletions(-)

diff --git a/funasr/runtime/python/websocket/ASR_server.py b/funasr/runtime/python/websocket/ASR_server.py
index 0af5208..cfa9a42 100644
--- a/funasr/runtime/python/websocket/ASR_server.py
+++ b/funasr/runtime/python/websocket/ASR_server.py
@@ -38,6 +38,10 @@
                     type=str,
                     default="",
                     help="model from modelscope")
+parser.add_argument("--ngpu",
+                    type=int,
+                    default=1,
+                    help="0 for cpu, 1 for gpu")
 
 args = parser.parse_args()
 
@@ -52,7 +56,9 @@
     model_revision="v1.2.0",
     output_dir=None,
     batch_size=1,
+    mode='online'
 )
+param_dict_vad = {'in_cache': dict(), "is_final": False}
   
 # 鍒涘缓涓�涓狝SR瀵硅薄
 param_dict = dict()
@@ -81,14 +87,22 @@
 
 
 def vad(data):  # 鎺ㄧ悊
-    global vad_pipline
+    global vad_pipline, param_dict_vad
     #print(type(data))
-    segments_result = vad_pipline(audio_in=data)
-    #print(segments_result)
-    if len(segments_result) == 0:
-        return False
-    else:
-        return True
+    # print(param_dict_vad)
+    segments_result = vad_pipline(audio_in=data, param_dict=param_dict_vad)
+    # print(segments_result)
+    # print(param_dict_vad)
+    speech_start = False
+    speech_end = False
+    
+    if len(segments_result) == 0 or len(segments_result["text"]) > 1:
+        return speech_start, speech_end
+    if segments_result["text"][0][0] != -1:
+        speech_start = True
+    if segments_result["text"][0][1] != -1:
+        speech_end = True
+    return speech_start, speech_end
 
 def asr():  # 鎺ㄧ悊
     global inference_pipeline2
@@ -106,11 +120,12 @@
 def main():  # 鎺ㄧ悊
     frames = []  # 瀛樺偍鎵�鏈夌殑甯ф暟鎹�
     buffer = []  # 瀛樺偍缂撳瓨涓殑甯ф暟鎹紙鏈�澶氫袱涓墖娈碉級
-    silence_count = 0  # 缁熻杩炵画闈欓煶鐨勬鏁�
-    speech_detected = False  # 鏍囪鏄惁妫�娴嬪埌璇煶
+    # silence_count = 0  # 缁熻杩炵画闈欓煶鐨勬鏁�
+    # speech_detected = False  # 鏍囪鏄惁妫�娴嬪埌璇煶
     RECORD_NUM = 0
     global voices 
     global speek
+    speech_start, speech_end = False, False
     while True:
         while not voices.empty():
             
@@ -121,32 +136,35 @@
             if len(buffer) > 2:
                 buffer.pop(0)  # 濡傛灉缂撳瓨瓒呰繃涓や釜鐗囨锛屽垯鍒犻櫎鏈�鏃╃殑涓�涓�
             
-            if speech_detected:
+            if speech_start:
                 frames.append(data)
-                RECORD_NUM += 1    
-            
-            if vad(data):
-                if not speech_detected:
-                    print("妫�娴嬪埌浜哄0...")
-                    speech_detected = True  # 鏍囪涓烘娴嬪埌璇煶
-                    frames = []
-                    frames.extend(buffer)  # 鎶婁箣鍓�2涓闊虫暟鎹揩鍔犲叆
-                silence_count = 0  # 閲嶇疆闈欓煶娆℃暟
-            else:
-                silence_count += 1  # 澧炲姞闈欓煶娆℃暟
-
-                if speech_detected and (silence_count > 4 or RECORD_NUM > 50): #杩欓噷 50 鍙牴鎹渶姹傛敼涓哄悎閫傜殑鏁版嵁蹇暟閲�
-                    print("璇磋瘽缁撴潫鎴栬�呰秴杩囪缃渶闀挎椂闂�...")
-                    audio_in = b"".join(frames)
-                    #asrt = threading.Thread(target=asr,args=(audio_in,))
-                    #asrt.start()
-                    speek.put(audio_in)
-                    #rec_result = inference_pipeline2(audio_in=audio_in)  # ASR 妯″瀷閲岃窇涓�璺�
-                    frames = []  # 娓呯┖鎵�鏈夌殑甯ф暟鎹�
-                    buffer = []  # 娓呯┖缂撳瓨涓殑甯ф暟鎹紙鏈�澶氫袱涓墖娈碉級
-                    silence_count = 0  # 缁熻杩炵画闈欓煶鐨勬鏁版竻闆�
-                    speech_detected = False  # 鏍囪鏄惁妫�娴嬪埌璇煶
-                    RECORD_NUM = 0
+                RECORD_NUM += 1
+            speech_start_i, speech_end_i = vad(data)
+            # print(speech_start_i, speech_end_i)
+            if speech_start_i:
+                speech_start = speech_start_i
+                # if not speech_detected:
+                # print("妫�娴嬪埌浜哄0...")
+                # speech_detected = True  # 鏍囪涓烘娴嬪埌璇煶
+                frames = []
+                frames.extend(buffer)  # 鎶婁箣鍓�2涓闊虫暟鎹揩鍔犲叆
+                # silence_count = 0  # 閲嶇疆闈欓煶娆℃暟
+            if speech_end_i or RECORD_NUM > 300:
+                # silence_count += 1  # 澧炲姞闈欓煶娆℃暟
+                # speech_end = speech_end_i
+                speech_start = False
+                # if RECORD_NUM > 300: #杩欓噷 50 鍙牴鎹渶姹傛敼涓哄悎閫傜殑鏁版嵁蹇暟閲�
+                # print("璇磋瘽缁撴潫鎴栬�呰秴杩囪缃渶闀挎椂闂�...")
+                audio_in = b"".join(frames)
+                #asrt = threading.Thread(target=asr,args=(audio_in,))
+                #asrt.start()
+                speek.put(audio_in)
+                #rec_result = inference_pipeline2(audio_in=audio_in)  # ASR 妯″瀷閲岃窇涓�璺�
+                frames = []  # 娓呯┖鎵�鏈夌殑甯ф暟鎹�
+                buffer = []  # 娓呯┖缂撳瓨涓殑甯ф暟鎹紙鏈�澶氫袱涓墖娈碉級
+                # silence_count = 0  # 缁熻杩炵画闈欓煶鐨勬鏁版竻闆�
+                # speech_detected = False  # 鏍囪鏄惁妫�娴嬪埌璇煶
+                RECORD_NUM = 0
             time.sleep(0.01)
         time.sleep(0.01)
             
@@ -158,16 +176,4 @@
 s.start()
 
 asyncio.get_event_loop().run_until_complete(start_server)
-asyncio.get_event_loop().run_forever()
-
-
- 
-
-
-
-
-
- 
-
-        
-
+asyncio.get_event_loop().run_forever()
\ No newline at end of file

--
Gitblit v1.9.1