User's Manual
Table Of Contents
- Contents
- Figures
- Tables
- Revision History
- About This Publication
- 1. Product Description
- 2. Programming Models
- 3. Device Handling
- 4. Event Handling
- 5. Error Handling
- 6. Application Development Guidelines
- 7. Call Progress Analysis
- 7.1 Call Progress Analysis Overview
- 7.2 Call Progress and Call Analysis Terminology
- 7.3 Call Progress Analysis Components
- 7.4 Using Call Progress Analysis on DM3 Boards
- 7.5 Call Progress Analysis Tone Detection on DM3 Boards
- 7.6 Media Tone Detection on DM3 Boards
- 7.7 Default Call Progress Analysis Tone Definitions on DM3 Boards
- 7.8 Modifying Default Call Progress Analysis Tone Definitions on DM3 Boards
- 7.9 Call Progress Analysis Errors
- 7.10 Using Call Progress Analysis on Springware Boards
- 7.11 Call Progress Analysis Tone Detection on Springware Boards
- 7.12 Media Tone Detection on Springware Boards
- 7.13 Default Call Progress Analysis Tone Definitions on Springware Boards
- 7.14 Modifying Default Call Progress Analysis Tone Definitions on Springware Boards
- 7.15 SIT Frequency Detection (Springware Only)
- 7.15.1 Tri-Tone SIT Sequences
- 7.15.2 Setting Tri-Tone SIT Frequency Detection Parameters
- 7.15.3 Obtaining Tri-Tone SIT Frequency Information
- 7.15.4 Global Tone Detection Tone Memory Usage
- 7.15.5 Frequency Detection Errors
- 7.15.6 Setting Single Tone Frequency Detection Parameters
- 7.15.7 Obtaining Single Tone Frequency Information
- 7.16 Cadence Detection in Basic Call Progress Analysis (Springware Only)
- 8. Recording and Playback
- 8.1 Overview of Recording and Playback
- 8.2 Digital Recording and Playback
- 8.3 Play and Record Functions
- 8.4 Play and Record Convenience Functions
- 8.5 Voice Encoding Methods
- 8.6 G.726 Voice Coder
- 8.7 Transaction Record
- 8.8 Silence Compressed Record
- 8.9 Recording with the Voice Activity Detector
- 8.10 Streaming to Board
- 8.11 Pause and Resume Play
- 8.12 Echo Cancellation Resource
- 9. Speed and Volume Control
- 10. Send and Receive FSK Data
- 11. Caller ID
- 12. Cached Prompt Management
- 13. Global Tone Detection and Generation, and Cadenced Tone Generation
- 13.1 Global Tone Detection (GTD)
- 13.1.1 Overview of Global Tone Detection
- 13.1.2 Global Tone Detection on DM3 Boards versus Springware Boards
- 13.1.3 Defining Global Tone Detection Tones
- 13.1.4 Building Tone Templates
- 13.1.5 Working with Tone Templates
- 13.1.6 Retrieving Tone Events
- 13.1.7 Setting GTD Tones as Termination Conditions
- 13.1.8 Maximum Amount of Memory for Tone Templates
- 13.1.9 Estimating Memory
- 13.1.10 Guidelines for Creating User-Defined Tones
- 13.1.11 Global Tone Detection Application
- 13.2 Global Tone Generation (GTG)
- 13.3 Cadenced Tone Generation
- 13.3.1 Using Cadenced Tone Generation
- 13.3.2 How To Generate a Custom Cadenced Tone
- 13.3.3 How To Generate a Non-Cadenced Tone
- 13.3.4 TN_GENCAD Data Structure - Cadenced Tone Generation
- 13.3.5 How To Generate a Standard PBX Call Progress Signal
- 13.3.6 Predefined Set of Standard PBX Call Progress Signals
- 13.3.7 Important Considerations for Using Predefined Call Progress Signals
- 13.1 Global Tone Detection (GTD)
- 14. Global Dial Pulse Detection
- 14.1 Key Features
- 14.2 Global DPD Parameters
- 14.3 Enabling Global DPD
- 14.4 Global DPD Programming Considerations
- 14.5 Retrieving Digits from the Digit Buffer
- 14.6 Retrieving Digits as Events
- 14.7 Dial Pulse Detection Digit Type Reporting
- 14.8 Defines for Digit Type Reporting
- 14.9 Global DPD Programming Procedure
- 14.10 Global DPD Example Code
- 15. R2/MF Signaling
- 16. Syntellect License Automated Attendant
- 17. Building Applications
- Glossary
- Index
78 Voice API Programming Guide — June 2005
Call Progress Analysis
7.16 Cadence Detection in Basic Call Progress Analysis
(Springware Only)
Cadence detection is a component of basic call progress analysis. The following topics discuss
cadence detection and some of the most commonly adjusted cadence detection parameters in basic
call progress analysis:
• Overview
• Typical Cadence Patterns
• Elements of a Cadence
• Outcomes of Cadence Detection
• Setting Selected Cadence Detection Parameters
• Obtaining Cadence Information
7.16.1 Overview
The cadence detection algorithm has been optimized for use in the United States standard network
environment.
Caution: This discussion of cadence detection in basic call progress analysis is provided for backward
compatibility purposes only. You should not develop new applications based on basic call progress
analysis. Instead you should use PerfectCall call progress analysis. For information on cadence
detection in PerfectCall call progress analysis, see Section 7.11, “Call Progress Analysis Tone
Detection on Springware Boards”, on page 65.
If your system is operating in another type of environment (such as behind a PBX), you can
customize the cadence detection algorithm to suit your system through the adjustment of the
cadence detection parameters.
Cadence detection analyzes the audio signal on the line to detect a repeating pattern of sound and
silence, such as the pattern produced by a ringback or a busy signal. These patterns are called audio
cadences. Once a cadence has been established, it can be classified as a single ring, a double ring,
or a busy signal by comparing the periods of sound and silence to established parameters.
Notes: 1. Sound is referred to as nonsilence.
2. The algorithm used for cadence detection is disclosed and protected under U.S. patent 4,477,698
of Melissa Electronic Labs, and other patents pending.
7.16.2 Typical Cadence Patterns
Figure 6, Figure 7, and Figure 8 show some typical cadence patterns for a standard busy signal, a
standard single ring, and a double ring.