Name | Download | Download Size |
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Lecture Note | Download as zip file | 17M |
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Assignment-2solution | Assignment-2solution |
Assignment-3solution | Assignment-3solution |
Assignment-4solution | Assignment-4solution |
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Assignment-6solution | Assignment-6solution |
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Assignment-8solution | Assignment-8solution |
Sl.No | Chapter Name | MP4 Download |
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1 | Lecture 1: | Download |
2 | Lecture 2: | Download |
3 | Lecture 3: | Download |
4 | Lecture 4: | Download |
5 | Lecture 5: | Download |
6 | Lecture 6: | Download |
7 | Lecture 7: | Download |
8 | Lecture 8: | Download |
9 | Lecture 9 : | Download |
10 | Lecture 10 : | Download |
11 | Lecture 11: | Download |
12 | Lecture 12: | Download |
13 | Lecture 13: | Download |
14 | Lecture 14: | Download |
15 | Lecture 15 : | Download |
16 | Lecture 16: Human Auditory System | Download |
17 | Lecture 17: | Download |
18 | Lecture 18: | Download |
19 | Lecture 19: Time Domain Methods in Speech Processing | Download |
20 | Lecture 20: | Download |
21 | Lecture 21 : Introduction to Liner Prediction | Download |
22 | Lecture 22 : Autocorrelation Method of LPC analysis | Download |
23 | Lecture 23 : Autocorrelation Method of LPC analysis ( Contd.) | Download |
24 | Lecture 24 : Lattice Formulations of Linear Prediction | Download |
25 | Lecture 25 : Lattice Formulations of Linear Prediction ( Contd.) | Download |
26 | Lecture 26 : | Download |
27 | Lecture 27 : | Download |
28 | Lecture 28 : | Download |
29 | Lecture 29 : | Download |
30 | Lecture 30 : | Download |
31 | Lecture 31: Segmental and Supra-segmental features of speech signal | Download |
32 | Lecture 32: Cepstral Transform Coefficients (CC) Parameters extraction | Download |
33 | Lecture 33: Mel Frequency Cepstral Coefficients | Download |
34 | Lecture 34: MFCC features vector | Download |
35 | Lecture 35: Fundamental Frequency (F0) Detection of speech signal | Download |
36 | Lecture 36: Frequency Domain Fundamental Frequency Detection Algorithms | Download |
37 | Lecture 37 Text to Speech Synthesis | Download |
38 | Lecture 38 Text to Speech Synthesis ( Contd.) | Download |
39 | Lecture 39 Automatic Speech Recognition | Download |
40 | Lecture 40 Statistical Modeling of Automatic Speech Recognition | Download |
41 | Lecture 41 Speech based Technology Development for e-learning | Download |
42 | Lecture 42 : Prosody Modeling | Download |
43 | Lecture 43 : Fundamental frequency countur modeling | Download |
44 | Lecture 44 : Fundamental frequency contour modeling (Contd.) | Download |
Sl.No | Chapter Name | English |
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1 | Lecture 1: | Download Verified |
2 | Lecture 2: | Download Verified |
3 | Lecture 3: | Download Verified |
4 | Lecture 4: | Download Verified |
5 | Lecture 5: | Download Verified |
6 | Lecture 6: | Download Verified |
7 | Lecture 7: | Download Verified |
8 | Lecture 8: | Download Verified |
9 | Lecture 9 : | Download Verified |
10 | Lecture 10 : | Download Verified |
11 | Lecture 11: | Download Verified |
12 | Lecture 12: | Download Verified |
13 | Lecture 13: | Download Verified |
14 | Lecture 14: | Download Verified |
15 | Lecture 15 : | Download Verified |
16 | Lecture 16: Human Auditory System | Download Verified |
17 | Lecture 17: | Download Verified |
18 | Lecture 18: | Download Verified |
19 | Lecture 19: Time Domain Methods in Speech Processing | Download Verified |
20 | Lecture 20: | Download Verified |
21 | Lecture 21 : Introduction to Liner Prediction | Download Verified |
22 | Lecture 22 : Autocorrelation Method of LPC analysis | Download Verified |
23 | Lecture 23 : Autocorrelation Method of LPC analysis ( Contd.) | Download Verified |
24 | Lecture 24 : Lattice Formulations of Linear Prediction | Download Verified |
25 | Lecture 25 : Lattice Formulations of Linear Prediction ( Contd.) | Download Verified |
26 | Lecture 26 : | Download Verified |
27 | Lecture 27 : | Download Verified |
28 | Lecture 28 : | Download Verified |
29 | Lecture 29 : | Download Verified |
30 | Lecture 30 : | Download Verified |
31 | Lecture 31: Segmental and Supra-segmental features of speech signal | Download Verified |
32 | Lecture 32: Cepstral Transform Coefficients (CC) Parameters extraction | Download Verified |
33 | Lecture 33: Mel Frequency Cepstral Coefficients | Download Verified |
34 | Lecture 34: MFCC features vector | Download Verified |
35 | Lecture 35: Fundamental Frequency (F0) Detection of speech signal | Download Verified |
36 | Lecture 36: Frequency Domain Fundamental Frequency Detection Algorithms | Download Verified |
37 | Lecture 37 Text to Speech Synthesis | Download Verified |
38 | Lecture 38 Text to Speech Synthesis ( Contd.) | Download Verified |
39 | Lecture 39 Automatic Speech Recognition | Download Verified |
40 | Lecture 40 Statistical Modeling of Automatic Speech Recognition | Download Verified |
41 | Lecture 41 Speech based Technology Development for e-learning | Download Verified |
42 | Lecture 42 : Prosody Modeling | Download Verified |
43 | Lecture 43 : Fundamental frequency countur modeling | Download Verified |
44 | Lecture 44 : Fundamental frequency contour modeling (Contd.) | Download Verified |
Sl.No | Language | Book link |
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1 | English | Download |
2 | Bengali | Not Available |
3 | Gujarati | Not Available |
4 | Hindi | Not Available |
5 | Kannada | Not Available |
6 | Malayalam | Not Available |
7 | Marathi | Not Available |
8 | Tamil | Not Available |
9 | Telugu | Not Available |