Skip to main content

EXP 10 - Signal Processing Application

The final experiment of the semester was a group experiment- Our task was to pick a domain under signal processing. Our group(Devashish More , Divya Khandkar, Tanvi Joshi, Aditi Kajrekar and Aarohi Karnik) chose speech recognition. Each of us have reviewed a paper and a patent:
Patent -  SYSTEM AND METHOD FOR DETERMINING RECIPIENT OF SPOKEN  COMMAND IN A CONTROL SYSTEM
Authors - JoBargetzi Fre ,  Seferian Ara,   Stene Josh, Labosco Mark 
Link to patent             

Paper - FRAME LEVEL ENTROPY BASED OVERLAPPED SPEECH DETECTION AS A PRE-
PROCESSING STAGE FOR SPEAKER DIARIZATION   

Authors - Oshry Ben-Harush, Hugo Guterman ,Itshak Lapidot
               
Link to paper review                 


We also worked on our own application - "Audio Signal Correlation"


Comments

  1. It will be very useful to differentiate between speakers

    ReplyDelete
    Replies
    1. Yes it is! In a setup of multiple systems the ability to determine which system the command is issued to is a useful thing.

      Delete
  2. This system tries to determine the signal with largest magnitude

    ReplyDelete
  3. The real time application was studied well and understood using this practical dsp approach

    ReplyDelete

Post a Comment

Popular posts from this blog

EXP 6 - Chebyshev Filter design

After designing Butterworth filtwr there was another IIR filter that was to be designed and that was Chebyshev Filter. The filter was designed by coding in SCILAB.  Both Low Pass and High Pass Chebyshev filters were designed and the results were verified by manual calculations. Increasing  the sampling frequency increased the  accuracy of the results obtained.

EXP 5 - Butterworth Filter Design

After learning DFT and FFT techniques it was finally time  to start designing filters. We started with IIr filter  design. The first filter that we were going to design was a Butterworth Filter. Butterworth filter  was designed by using SCILAB. The results were verified by running the program and manually solving  using the same set of values. Results for both Low Pass and High Pass Butterworth filter were verified.

EXP 2 - Discrete Fourier Transform

Discrete Fourier Transform is used to transform signal in time domain to frequemcy domain. In this experiment, we ran a C program to find the DFT of a 4 -ponit and an 8-point sequemce. Also, we plotted their magnitude spectrum. From the magnitude spectrum it was observed that expansion of input signal in time domain gives compressed spectrum in frequency domain.