Title: CHAPTER 10 Applications of Digital Signal Processing
1CHAPTER 10 Applications of Digital Signal
Processing
- Wang Weilian
- wlwang_at_ynu.edu.cn
- School of Information Science and Technology
- Yunnan University
2Outline
- Speech Signals Processing
- Dual-Tone Multifrequency Signal Detection
3Speech 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.
4Speech Signals Processing
- Speech Analysis time-domain
- data windowing
Windowing Calculation
5Speech Signals Processing
- Speech Analysis time-domain
- Energy
- Selecting 10ms 30ms as the length of the window
in general
6Speech Signals Processing
- Speech Analysis time-domain
- The zero crossing rate ( ZCR )
- where
7Speech Signals Processing
- Speech Analysis time-domain
- Energy and ZCR
Energy and ZCR
8Speech Signals Processing
- Speech Analysis time-domain
- The Autocorrelation function
- If , then
9Speech Signals Processing
- Speech Analysis time-domain
- The Autocorrelation function
The block diagram of the autocorrelation function
10Speech Signals Processing
- Speech Analysis frequency-domain
- Fourier Transform and Spectrogram
The filter-explanation of the FT
11Speech Signals Processing
- Speech Analysis frequency-domain
- The spectrogram
The spectrogram
12Speech Signals Processing
- Speech Analysis frequency-domain
- Spectra analysis
- The power spectra ( energy density function )
- Complex Ceptrum
- Quefrency
13Speech Signals Processing
- Speech Analysis frequency-domain
- Linear Predictive
- The model of signal generation
Autoregressive Moving Average Model
14Speech 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
15Speech Signals Processing
- Speech Analysis frequency-domain
Linear Predictive ( autocorrelation method )
16Speech Signals Processing
- Speech Synthesis
- Formant Synthesis the transfer function of
formants can be simulated by using a 2th-order
digital filter generally.
17Speech Signals Processing
Communication via Spoken Language
18Dual-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.
19Dual-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