Upload files to ''

CorrelationCoefficient.py

@@ -0,0 +1,48 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+import thinkdsp
+
+
+
+
+#segment: ebben a hangmintaban keressuk az eredeti hangmintaval "original_sample" leginkabb korrelalo reszt
+#original_sample: az eredeti madarhang minta
+# A fuggveny a bemeneti hangmintat mintavetelenkent osszehasonlitja az altalunk keresett hangmintaval es vissza adja annak
+# a maximalis korrelaciot.
+def calculatecorr(segment,original_sample):
+    maxcorr = 0
+    time = 0
+    #1minta 1 masodperc(framerate szama = utolso elem)
+    lastsample = segment.framerate
+    for timestamp in segment.ts[:-lastsample]:
+        #mindig az adott mintaveteltol szamitott 1mp-es mintat vesszuk
+        segment_chunk = segment.segment(start=timestamp, duration=1)
+        #Correlation coefficient two waves.
+        correlation = original_sample.corr(segment_chunk)
+        if correlation > maxcorr :
+            maxcorr = correlation
+            time = timestamp
+            print(correlation)
+        if maxcorr > 0.9:
+            return maxcorr
+            break
+
+    print("Vegeredmeny:")
+    print(maxcorr)
+    print("Masodperc:")
+    print(time)
+    return maxcorr
+
+
+
+
+sturnusVulgaris = thinkdsp.read_wave("wavs/sturnus/CommonStarling_100962.wav")
+train_sample = sturnusVulgaris.segment(start=4,duration=1)
+test_sample =  sturnusVulgaris.segment(start=0,duration=5)
+
+
+calculatecorr(test_sample,train_sample)
+
+
+

calculator.py

@@ -0,0 +1,40 @@
+import sys
+sys.version = '3.6.7 (default, Nov 6 2019, 16:19:42) \n[GCC 7.3.0]'
+sys.path.append('thinkdsp/')
+import thinkdsp
+#segment: ebben a hangmintaban keressuk az eredeti hangmintaval "original_sample" leginkabb korrelalo reszt original_sample: az eredeti madarhang minta
+# A fuggveny a bemeneti hangmintat mintavetelenkent osszehasonlitja az altalunk keresett hangmintaval es vissza adja annak a maximalis korrelaciot.
+from flask import request, session, app
+from flask import current_app
+from datetime import datetime
+def main():
+	current_app.logger.info("Received request")
+	now = datetime.now()
+	current_time = now.strftime("%H:%M:%S")
+	output = ""
+	output = output + "Elinditva:" + current_time + "\n"
+	maxcorr = 0
+	time = 0
+	filename_raw = str(request.get_data())
+	filename = filename_raw[2:-1]
+	sturnusVulgaris = thinkdsp.read_wave("wavs/%s.wav" % filename)
+	train_sample = sturnusVulgaris.segment(start=4,duration=1)
+	test_sample = sturnusVulgaris.segment(start=0,duration=5)
+	segment = test_sample
+	original_sample = train_sample
+#sturnusVulgaris = thinkdsp.read_wave(filename) 1minta 1 masodperc(framerate szama = utolso elem)
+	lastsample = segment.framerate
+	for timestamp in segment.ts[:-lastsample]:
+		#mindig az adott mintaveteltol szamitott 1mp-es mintat vesszuk
+		segment_chunk = segment.segment(start=timestamp, duration=1)
+		#Correlation coefficient two waves.
+		correlation = round(original_sample.corr(segment_chunk),8)
+		if correlation > maxcorr :
+			maxcorr = correlation
+			time = timestamp
+			output = str(output) + str(round(correlation,8)) + "\n"
+		if maxcorr > 0.9:
+			output = output + str(maxcorr)
+			end = datetime.now()
+			end_time = end.strftime("%H:%M:%S")
+			return output + "\nVegeredmeny:\n" + str(maxcorr) + "\nMasodperc:\n" + str(time) + "\nBefejezve:"+ end_time