- \n
- Universal compatibility<\/li>\n
- Detect ring back, busy, reorder, SIT, dialtone, voice answer, and modem answer.<\/li>\n
- Detect voice, voice followed by silence then voice.<\/li>\n
- Tunable parameters<\/li>\n
- Support for TI TMS320C5400 and TMS320C6000 DSP<\/li>\n
- TMS320DSP Algorithm Standard compatible<\/li>\n
- MSP Consortium M.100<\/a> compatible<\/li>\n<\/ul>\n
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Benefits<\/strong><\/h2>\n
- \n
- Worldwide marketing of your product<\/li>\n
- Fast, accurate detection<\/li>\n
- Low support costs<\/li>\n
- Low implementation costs<\/li>\n
- Low resource utilization<\/li>\n<\/ul>\n
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\u2018C6000 Resource Utilization<\/strong><\/h2>\n
MCPS single-sample: 2.93
\nProgram Memory (full duplex): 19.8K bytes
\nConstants\/tables: 4.2K
\nPer-Instance Memory: 456 bytes<\/p>\n\u2018C5400 Resource Utilization<\/strong><\/h2>\n
MCPS (single-sample only): 3.6
\nProgram Memory: 4.4K words
\nConstants\/tables: 3.4K
\nInstance Memory: 590 bytes<\/p>\nLicense Options<\/strong><\/h2>\n
Limited-Use Paid-Up Source Code
\nObject Code with Runtime Licenses<\/p>\nSystem Design<\/strong><\/h2>\n
The figure below shows a general block diagram of the partitioning of the CPA system. It is divided into two Media Stream Transforms (MSTs): the feature detection (FD) MST and the CPA Finite State Machine (CPA-FSM) MST. This partitioning allows the two entities to be assigned to different processors for execution. For example, an embedded system with both DSP and a scalar (or co-processor) might benefit from the FD executing on the DSP and the FSM on the scalar.<\/p>\n
The FD MST processes the incoming signal samples to detect\/extract features like CPA tone start\/stop, voice start\/stop, SIT tone pattern, and fax-modem answer tone. The FD MST sends time-stamped events to the CPA-FSM MST whenever a feature is detected or a change is observed. Time stamps are based on the rate of the incoming samples (8000 samples\/second).<\/p>\n
Above: CPA System<\/address>\n![\"CPA](\"http:\/\/commetrex.com\/wp-content\/uploads\/2012\/04\/image_cpa1.jpg\" "\\"image_cpa1\\"")
<\/p>\nThe following two sections provide an overview of each of the above components.<\/p>\n
Feature Detection<\/strong><\/h4>\n
The FD component of the CPA system is an MST that typically runs on the task processor. Its operation is based on partitioning the telephone channel into two bands as shown in the next figure. The FD MST implements two FIR (band and high pass) filters to compute the energy portion of the incoming signal in each band. Also, the FD MST runs four IIR-based notch filters to detect specific tones of the CED and SIT signals. All filters operate at 8000 Hz sampling rate and have a unity gain.<\/p>\n
<\/p>\n
![\"CPA](\"http:\/\/commetrex.com\/wp-content\/uploads\/2012\/04\/image_cpa2.jpg\" "\\"image_cpa2\\"")
<\/address>\nAbove: Partitioning of the telephone channel<\/address>\nThe FD MST keeps track of the raw energy of the signal and does not consider the relative energies of different features before the raw energy passes a parameter-controlled threshold level. Once the raw energy exceeds the threshold, the output of each filter (the energy of each feature) is compared with the raw energy and with other filter outputs to make a decision on the signal.<\/p>\n
Finite State Machine<\/strong><\/h4>\n
The CPA-FSM component of the CPA system is an MST that can execute on the DSP, embedded-scalar, or host processor. It is driven by events from the Event Preprocessor. The CPA-FSM implements all required states for call-progress analysis. It makes use of other supporting routines to implement the processing required by each event transition. The CPA-FSM MST consists of four major components: the event pre-processor, the state machine, and the supporting (edge) routines of the state machine and the timer package.<\/p>\n
Voice Detection<\/strong><\/h2>\n
The voice-begin event is the first voice event generated when the remote party begins speaking. Note that the voice must be above the SilenceLevel for VoiceOnTime milliseconds. The voice-end event is reported after an absence of voice for SilenceLong milliseconds. If voice is detected again after an absence of voice for SilenceShort milliseconds, the voice-end-short event is reported. The voice-end-short event is not generated if voice restarted after a silence less than SilenceShort milliseconds.<\/p>\n
![\"CPA](\"http:\/\/commetrex.com\/wp-content\/uploads\/2012\/04\/image_cpa3.jpg\" "\\"image_cpa3\\"")
<\/p>\nThis capability allows the application to infer whether the called party answered with a \u201cHello\u201d, which is 0.4 seconds, or \u201cHello, thank you for calling Commetrex\u201d, or \u201cHi, this is Pete and Alice. We\u2019re not here right now\u2026\u201d<\/p>\n