Speech Packet Identifier Encoding for Bandwidth Adaptation
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Solution Overview
Problem
Current speech processing technologies face challenges in efficiently encoding and decoding speech signals across different bandwidths, particularly in combining narrowband and highband signals without significant computational complexity and maintaining low sampling rates, while also supporting compatibility with narrowband systems.
Innovation Solution
The method involves a system that includes a wideband speech encoder and decoder capable of partitioning signals into frames, determining whether to encode as wideband or narrowband packets, and embedding an identifier to select appropriate decoding modes, allowing for efficient transmission and decoding of speech signals by combining encoded narrowband and highband signals into a single bitstream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speech signals are encoded as wideband packets, then speech quality is improved, but device complexity increases
Solution Approach 1:
The system dynamically selects between wideband and narrowband encoding modes based on network conditions and capabilities. The encoder can switch between encoding the full wideband signal and encoding only the highband portion, allowing adaptation to different operational requirements and reducing complexity when full wideband encoding is not necessary.
Solution Approach 2:
The speech signal is divided into lowband and highband portions. Instead of always encoding the entire wideband signal, the system can segment the encoding process to only process the highband portion when operating in half-rate mode, reducing computational complexity while maintaining speech quality improvements.
2Measurement precision
If identifier bits are added to packets, then decoding accuracy is improved, but loss of information increases
Solution Approach 1:
The identifier serves multiple functions: it indicates the encoding mode (wideband or narrowband), guides the decoder in selecting the appropriate decoding algorithm, and enables proper reconstruction of the speech signal. This multi-functionality justifies the additional bits by providing comprehensive control over the decoding process.
Solution Approach 2:
The identifier is embedded in the packet during the encoding phase, before transmission. This preliminary action ensures that the decoder has all necessary information available at the start of the decoding process, enabling accurate mode selection and preventing information loss that would occur if mode information had to be determined later.
3Use of energy by moving object
If sampling rate is reduced, then use of energy is improved, but measurement precision deteriorates
Solution Approach 1:
The speech signal is segmented into lowband and highband frequency ranges. By reducing the sampling rate and only encoding the highband portion in half-rate mode, the system reduces energy consumption while preserving the perceptually important high-frequency components that distinguish wideband from narrowband speech.
Solution Approach 2:
Different portions of the speech signal are treated differently. The lowband portion is fully encoded to maintain basic speech intelligibility, while the highband portion is selectively encoded based on energy availability, optimizing the balance between energy consumption and speech quality.
Data Source
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AI summary
A method for including an identifier with a packet associated with a speech signal is described. A signal is received. The signal is partitioned into a plurality of frames. A frame of the signal is encoded into a packet. A determination is made if the packet is encoded as a wideband packet or a narrowband packet. An identifier is packed in the packet based on the determination. The packet is transmitted. At least two illegal values are provided from an N-bit parameter, wherein at least one bit from the N-bit parameter is used to carry information. A number of bits from the N-bit parameter that are used to carry information is equal to log2(X), wherein X is the number of illegal values provided from the N-bit parameter.