vijaypurohit / speech-processing-vowel-recognition Goto Github PK

Input: 
	*	Vowel Data Files '.txt' in format 214XXXXXX_%c_%d.txt (c={a,e,i,o,u} d={1,2,3 ..., 20} 100 files)
	*	Kept inside the path provided by array filePathVowels[] = "input_vowels_data/". (Line #89)
	*	Roll Num can be changed by variable rollNum[]="214XXXXXX" (Line #55)
Output:  
	*	R1:Final Reference Files for each vowel by analysing the first 10 files of each vowel.
			Folder: fileOutputRef[] = "output_reference_file/";
			Format: {214XXXXXX} + _ + {a} + _avg_ci_reference.txt
	*	R2:Collective Analysed Files Data for each vowel by analysing the first 10 files in single file for each vowel.
			Folder:  fileOutputRef[] = "output_reference_file/";	
			Format: {214XXXXXX}+ _ + {a} + _final_analysis.txt
	*	T1:Individual Test File Result after comparing with each reference file of vowel.
			Folder: fileOutputTest[] = "output_test_result/";
			Format: {214XXXXXX} + _ + {a} + {1} + _test_result.txt
	*	T2:Collective Test File Result of all the test files (last 10 files of each vowel). 
			Folder: fileOutputTest[] = "output_test_result/";
			Format:  _ + {214XXXXXX} +_aeiou_TEST_RESULT_OUTPUT.txt
	*   (optional when var segregate_speech=TRUE (Line #93))
			Segregated Speech data of each file analysed for testing/debugging purpose. Can be played in Cool Edit.
			Folder:  fileOutputRecording[] = "output_recordings/";
			Format: {214XXXXXX} + _ + {a} + _ + {1} + _normalized_segregated_recording.txt
Details About Each File:
	*   	R1:Format: {214XXXXXX} + _ + {a} + _avg_ci_reference.txt
			Contains final Avg Ci (5*12) of first 10 files of each vowel.
			Total Five Files.
	*   	R2:Format: {214XXXXXX}+ _ + {a} + _final_analysis.txt
			It contains values of DC shift, normalization factor, STE marker Frame of each 10 files.
			Contains Coefficients Values of each 10 files and For each 5 frame.
			Finally the Avg C_i values computed from 10 files in proper readable format.
			Total Five Files.
	*   	T1:Format: {214XXXXXX} + _ + a + {1} + _test_result.txt
			It contains values of DC shift, normalization factor, STE marker Frame of test file.
			Contains Coefficients Values of each 5 frame.
			Finally the tokhura distance calculated with respect to each frame and each vowel reference file.
			Result of minimum tokhura distance and vowel recognized.
			One for each test file.
	*   	T2:Format:  _ + {214XXXXXX} +_aeiou_TEST_RESULT_OUTPUT.txt
			Console Output of all the test file result. (10files*5vowels)
			Result = Their Tokhura Distance and vowel recognized. File Testing data path.
			Accuracy with respect to 10 vowel files and overall accuracy in the end.
			Single file.