Speech Processing CS 566

Assignment 05 (HMM)

Roll No: 214101058 MTech CSE'23 IITG | Vijay Purohit

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Input: 
	*	input_lamda/* = Contains: PRESENTLY USED "Lamda Model for Each Digit"
		**	      = Contains: "Universe.csv" of Cepstral Coefficients of Training Files
		**	      = Contains: "Codebook" file to be read.
	*	input_live_voice_data/*	= Contains: Live Recording Files, 
						Their Observation Sequences, 
						Their Test Result Using Model (input or newly converged)
					 (Can Clean These Files Except the Folders Present)
		**	input_live_voice_data/TRAINING	= Contains Digits Recordings generated Using Application for Training Purpose 
		**	input_live_voice_data/TESTING	= Contains: Digits Recordings generated Using Application for Testing Purpose
		*** 	in the end, replace manually
				input_live_voice_data/TRAINING/* --> input_voice_training_data/*
				input_live_voice_data/TESTING/* --> input_voice_testing_data/*
	*	input_voice_training_data/*	= Contains: Training Utterance Recordings for Input into model
	*	input_voice_testing_data/*	= Contains: Test Utterance Recordings for Input into model
	* 	RecordingModule/*		= Contains: Recording Module Files

Output:  
	*	output/*	= Contains:	Result Analysis of Converged Model for Each Digit.
		**	output/Models/*	= Contains: Newly Generated Model using Input Trainning Files.
	*	output_voice_recordings_analysis_files	= Contains: Recording Analysis files which 
							shows Frames used, Samples used, STE Marker, Cepstral Coefficients etc
							For Files of Input Training, Input Testing, Live Recordings
	*	output_voice_recordings_normalised_segregated	= Contains: Segragated Speech Part using Start and End Marker
							For Files of Input Training, Input Testing, Live Recordings
Debug Variables:	
	* 	segregate_speech :	True: to segreagate speech data with respect to start and end marker in its output folder (output_voice_recordings_normalised_segregated). 
	*	segregate_Live_speech :	True: to segreagate Live Recording data with respect to start and end marker in its output folder (output_voice_recordings_normalised_segregated). 
	*	showCoefficientsInFile :	True: show Coefficients Values R, A, C's of each frames in its analysised files (output_voice_recordings_analysis_files).
	*	showAlphaBetaPstarInConsole :	True: to show alpa, beta probabilities in the console for each observation sequence. (also saved in files in (output/) )
	*	showStateSeqAlphaBetaInFileForEachObsAfterConverge :	True: It will save each utterance alpha, beta probabilites and state sequence in the file in (output/).

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FILES:

• main_hmm.cpp = Main File Contains Menu
• hmm_functions.h = Contains HMM Functions and Solution
• observation_sequence.h = Observation Sequence Functions

For Error: PlaySound() is not Identified: Do:

• Right Click Project Name in Solution Explorer
• Select Propertes --> Linker --> Input
• Select Additional Dependencies --> Edit
• Add name " winmm.lib "

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Instructions to execute Code.

1. Open it in Visual Studio 2010.
   • Main file: main_hmm.cpp
2. Compile it and Run. Console window will show up.
   • Interact With Menu
     • Output will be shown on the Console.
     • Detailed Output *.txt will be present in their respective folder.
3. Take Care:
   • To generate The Respective Sequence (Training/Testing) before Converging or Testing.

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THE END.