Detecting sample data that is related to only a certain part of a sound file.
I want to extract sample byte data that is related to a certain area of a sound clip like, a word in a sound clip, so that I get a collection of sample data that is related only to the particular word which then I can send through a FFT. How will I be able to identify this collection of data from a collection of bytes that are there for the whole sound file? Some of the byte data from the file looks like this after converting them to 2 byte values because its a 16 bit sound file (44100Hz 15 sec). 

49150.0
43010.0
15622.0
58886.0
19460.0
35583.0
0.0
7930.0
507.0
2303.0
59897.0
39419.0
517.0
6663.0
9989.0
13055.0
9210.0

I am aware that this data is in the time domain and I am not seeing any significant changes in data like a collection of 0’s to identify silence. Will I be able to do this in the time domain or would I be having to take this data to the frequency domain and then filter the unnecessary data and do a reverse FFT to get a collection of data that make sense. Thanks in advance. 

Detecting sample data that is related to only a certain part of a sound file.
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I want to extract sample byte data that is related to a certain area of a sound clip like, a word in a sound clip, so that I get a collection of sample data that is related only to the particular word which then I can send through a FFT. How will I be able to identify this collection of data from a collection of bytes that are there for the whole sound file? Some of the byte data from the file looks like this after converting them to 2 byte values because its a 16 bit sound file (44100Hz 15 sec). 

49150.0
43010.0
15622.0
58886.0
19460.0
35583.0
0.0
7930.0
507.0
2303.0
59897.0
39419.0
517.0
6663.0
9989.0
13055.0
9210.0

I am aware that this data is in the time domain and I am not seeing any significant changes in data like a collection of 0’s to identify silence. Will I be able to do this in the time domain or would I be having to take this data to the frequency domain and then filter the unnecessary data and do a reverse FFT to get a collection of data that make sense. Thanks in advance. 
