IN MATLAB ONLY

1. Record an audio clip of your own speech for 20 seconds with 8 kHz sampling rate, 1 channel, 8 bits/sample. 2. Save your recording as a file, and playback the speech to ensure you have properly recorded the audio signal. State your observations from listening to the playback. 3. Load your speech file into Matlab, which will be treated as the loudspeaker signal, s(n), in Proakis Problem 2.64. Plot the sampled signal, s(n). 4. Synthesize the signal x(n) as in Problem 2.64 with the parameters r1 = 0.6, r2 = 0.3, k1 = 5 seconds, k2 = 12 seconds. Playback the speech to ensure you have properly synthesized/generated x(n). Described your observations from listening to the playing of x(n). Note: You will need to convert the given values of k1 and k2 in seconds to the values in the unit of samples when you synthesize the signal. 5. Compute the autocorrelation function of the signal x(n) in Matlab and plot it versus the lag parameter / in the unit of seconds (not samples). An audio signal s(t) generated by a loudspeaker is reflected at two different walls with reflection coefficients r1 and r2. The signal x(t) recorded by a microphone close to the loudspeaker, after sampling, is x(n) = s(n) +r1s(n ki) +r23(n k2) 1. Record an audio clip of your own speech for 20 seconds with 8 kHz sampling rate, 1 channel, 8 bits/sample. 2. Save your recording as a file, and playback the speech to ensure you have properly recorded the audio signal. State your observations from listening to the playback. 3. Load your speech file into Matlab, which will be treated as the loudspeaker signal, s(n), in Proakis Problem 2.64. Plot the sampled signal, s(n). 4. Synthesize the signal x(n) as in Problem 2.64 with the parameters r1 = 0.6, r2 = 0.3, k1 = 5 seconds, k2 = 12 seconds. Playback the speech to ensure you have properly synthesized/generated x(n). Described your observations from listening to the playing of x(n). Note: You will need to convert the given values of k1 and k2 in seconds to the values in the unit of samples when you synthesize the signal. 5. Compute the autocorrelation function of the signal x(n) in Matlab and plot it versus the lag parameter / in the unit of seconds (not samples). An audio signal s(t) generated by a loudspeaker is reflected at two different walls with reflection coefficients r1 and r2. The signal x(t) recorded by a microphone close to the loudspeaker, after sampling, is x(n) = s(n) +r1s(n ki) +r23(n k2)