In-Band Modem Waveforms for Non-Speech Data Through Speech Codecs
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Solution Overview
Problem
Existing communication systems face challenges in efficiently transmitting non-speech data through speech codecs due to coding inefficiencies, particularly when dealing with signals that do not exhibit periodic or noise-like characteristics, leading to severe distortion and limited data rate capabilities.
Innovation Solution
The implementation of an in-band modem system that processes input data symbols into pulse signals, shapes them, and encodes them using a speech codec, along with techniques such as generating noise-like sequences robust to speech frame errors and synchronization signals to ensure reliable transmission and reception of non-speech information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If non-speech data is transmitted through a speech codec, then data communication capability is enabled, but severe distortion occurs and data rate is limited
Solution Approach 1:
The patent introduces an in-band modem as an intermediary device that converts non-speech data into speech-like waveforms before encoding them through the speech codec. This mediator translates data into a format that the speech codec can process effectively, thereby enabling data communication while minimizing distortion caused by the codec's speech-optimized algorithms
Solution Approach 2:
The patent modifies the parameters of the transmitted signal by transforming non-speech data into speech-like waveforms with characteristics that match the speech codec's expected input. By changing the signal parameters to resemble human speech patterns, the system achieves reliable transmission through the speech codec while maintaining data integrity
2Productivity
If speech compression is applied to reduce bandwidth, then transmission efficiency is improved, but non-speech signals experience severe distortion
Solution Approach 1:
The in-band modem serves as a mediator that converts non-speech data into speech-like waveforms, allowing the speech compression algorithm to process the data efficiently while maintaining signal quality. The transformation enables the compression codec to apply its optimized algorithms without causing severe distortion to the original data
Solution Approach 2:
The system changes the parameters of the data signal to match speech characteristics, enabling effective compression while preserving signal quality. By transforming the data into a speech-like format, the compression algorithm can reduce bandwidth without introducing severe distortion
3Adaptability or versatility
If conventional modulation schemes are used, then data transmission is possible, but infrastructure support is required and data rates are limited
Solution Approach 1:
The speech codec is made multi-functional by enabling it to handle both speech and data transmission through the in-band modem. This universal approach allows the existing speech infrastructure to support data communication without requiring separate data transmission channels or additional infrastructure
Solution Approach 2:
The in-band modem acts as an intermediary that enables data transmission through the speech codec infrastructure. By translating data into speech-like waveforms, the system can utilize existing speech networks for data communication, eliminating the need for dedicated data infrastructure
Data Source
AI summary
A system is provided for transmitting information through a speech codec (in-band) such as found in a wireless communication network. A modulator transforms the data into a spectrally noise-like signal based on the mapping of a shaped pulse to predetermined positions within a modulation frame, and the signal is efficiently encoded by a speech codec. A synchronization sequence provides modulation frame timing at the receiver and is detected based on analysis of a correlation peak pattern. A request/response protocol provides reliable transfer of data using message redundancy, retransmission, and/or robust modulation modes dependent on the communication channel conditions.