Главная
Study mode:
on
1
Introdution to Digital Speech Processing
2
Digitization and Recording
3
Review of DSP Concepts
4
Review of DSP Concepts (Contd)
5
Human Speech Production and Source Filter Model
6
Place and Mannerat Articulation
7
Articulatory and Acoustic Phonetics
8
Handson on Acoustic Phonetics
9
Uniform Tube Modeling of Speech Processing - I
10
Uniform Tube Modeling of Speech Processing - II
11
Uniform Tube Modeling of Speech Processing - III
12
Uniform Tube Modeling of Speech Processing - IV
13
Uniform Tube Modeling of Speech Processing - V
14
Uniform Tube Modeling of Speech Processing - VI
15
Uniform Tube Modeling of Speech Processing - VII
16
Speech Perception - Part I
17
Speech Perception - Part II
18
Speech Perception - Part III
19
Time Domain Methods in Speech Processing
20
Time Domain Methods in Speech Processing (Contd)
21
Introduction to Linear Prediction
22
Autocorrelation Method of LPC analysis
23
Autocorrelation Method of LPC analysis ( Contd.)
24
Lattice Formulations of Linear Prediction
25
Lattice Formulations of Linear Prediction ( Contd.)
26
Overview of Short - Time Fourier Transform (STFT)
27
Short - Time Fourier Transform Analysis
28
Short-Time Fourier Transform Synthesis
29
Lattice Formulations of Linear Prediction
30
Lattice Formulations of Linear Prediction ( Contd.)
31
Segmental and Supra-segmental features of speech signal
32
Cepstral Transform Coefficients (CC) Parameters extraction
33
Mel Frequency Cepstral Coefficients
34
MFCC features vector
35
Fundamental Frequency(F0) Detection of speech signal
36
Frequency Domain Fundamental Frequency Detection Algorithms
37
Text to Speech Synthesis
38
Text to Speech Synthesis ( Contd.)
39
Automatic Speech Recognition
40
Statistical Modeling of Automatic Speech Recognition
41
Speech based Technology Development for e-learning
42
Prosody Modeling
43
Fundamental frequency countur modeling
44
Fundamental frequency contour modeling (Contd.)
Description:
COURSE OUTLINE: Oral Speech may be the most natural, common and direct mode of human communication. Since the middle of the last century, Speech has become an area of intense and active research and development (R&D) to become a prime means of direct HumanComputer Interactions (HCI). The pace of such R&D as further got boosted with the general abundance of cheap computing power in the form of PC, PDA or Mobile Handset. While man to machine in speech mode is yet to reach the minimum threshold level for widespread deployment, spoken messages directly by machine. This needs research in speech science and the development of speech technology. The course provides the foundation knowledge on speech production and perception along with the processing of speech signals in the digital domain.

Digital Speech Processing

NPTEL
Add to list