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CHAPTER 10 Applications of Digital Signal Processing

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Title: CHAPTER 10 Applications of Digital Signal Processing


1
CHAPTER 10 Applications of Digital Signal
Processing
  • Wang Weilian
  • wlwang_at_ynu.edu.cn
  • School of Information Science and Technology
  • Yunnan University

2
Outline
  • Speech Signals Processing
  • Dual-Tone Multifrequency Signal Detection

3
Speech Signals Processing
  • Speech Analysis
  • parameterize the speech signal
  • To reduce the bandwidth
  • To characterize the speech signal with only a few
    features
  • Speech Signal Processing is one of the kernel
    technologies in those fields as follows
    Information Superhighway, Multimedia, OAS (office
    automation system), Modern Communications System,
    Intelligent System and so on.

4
Speech Signals Processing
  • Speech Analysis time-domain
  • data windowing

Windowing Calculation
5
Speech Signals Processing
  • Speech Analysis time-domain
  • Energy
  • Selecting 10ms 30ms as the length of the window
    in general

6
Speech Signals Processing
  • Speech Analysis time-domain
  • The zero crossing rate ( ZCR )
  • where

7
Speech Signals Processing
  • Speech Analysis time-domain
  • Energy and ZCR


Energy and ZCR
8
Speech Signals Processing
  • Speech Analysis time-domain
  • The Autocorrelation function
  • If , then

9
Speech Signals Processing
  • Speech Analysis time-domain
  • The Autocorrelation function

The block diagram of the autocorrelation function
10
Speech Signals Processing
  • Speech Analysis frequency-domain
  • Fourier Transform and Spectrogram

The filter-explanation of the FT
11
Speech Signals Processing
  • Speech Analysis frequency-domain
  • The spectrogram

The spectrogram
12
Speech Signals Processing
  • Speech Analysis frequency-domain
  • Spectra analysis
  • The power spectra ( energy density function )
  • Complex Ceptrum
  • Quefrency

13
Speech Signals Processing
  • Speech Analysis frequency-domain
  • Linear Predictive
  • The model of signal generation

Autoregressive Moving Average Model
14
Speech Signals Processing
  • Speech Analysis frequency-domain
  • Linear Predictive
  • G is the gain factor.
  • U(z) / S(z) is the Z-Transform of input / output
    sequence

15
Speech Signals Processing
  • Speech Analysis frequency-domain

Linear Predictive ( autocorrelation method )
16
Speech Signals Processing
  • Speech Synthesis
  • Formant Synthesis the transfer function of
    formants can be simulated by using a 2th-order
    digital filter generally.

17
Speech Signals Processing
  • Speech Recognition

Communication via Spoken Language
18
Dual-Tone Multifrequency Signal Detection
  • A DTMF signal consist of a sum of two tones with
    frequencies taken from two mutually exclusive
    groups of preassigned frequencies.
  • Each pair of such tones represents a unique
    number or a symbol.

19
Dual-Tone Multifrequency Signal Detection
  • Decoding of a DTMF signal thus involves
    identifying the two tones in that signal and
    determining their corresponding number or symbol.
  • The DTMF decoder computes the DFT samples closest
    in frequency to the eight DTMF fundamental tones
    and their respective second harmonics.
  • The DFT length N determines the frequency spacing
    between the locations of the DFT samples and the
    time it takes to compute the DFT sample. The
    frequency corresponding to the DFT index ( bin
    number ) k is
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