Concept for encoding of information
Simple SummaryContent extracted from patent full text and abstract with AI.
The invention describes an improved method and apparatus for encoding information signals, such as audio or speech, by converting linear prediction coefficients into frequency values (line spectral frequencies or similar). Specifically, it introduces a novel technique that identifies these frequency values more accurately and with lower computational complexity by searching for zero-crossings in the real and imaginary spectra of specific polynomial transformations of the prediction coefficients. This approach results in a robust and efficient way to encode spectral information for digital signal processing applications, especially in coding and compression systems.
Use CasesContent extracted from patent full text and abstract with AI.
- Speech codecs for telecommunication systems (e.g., mobile phones, VoIP)
- Audio compression for music and media streaming applications
- Video encoding where audio signals require efficient handling
- Embedded systems for hearing aids and smart speakers
- Resource-constrained environments requiring efficient audio processing (e.g., mobile devices, IoT devices)
- High-fidelity speech and audio recording and storage
- Digital musical instruments and synthesizers that use signal modeling
- Real-time audio effects and processing in software plugins
BenefitsContent extracted from patent full text and abstract with AI.
- Provides higher accuracy in determining spectral features of an audio or speech signal compared to prior art (e.g., Chebyshev-based or magnitude spectrum methods)
- Reduces computational complexity, allowing longer predictors and efficient execution on devices with limited resources
- Improved robustness against quantization errors, leading to higher quality in decoded signals
- Allows practical implementation for high-order prediction models, where traditional approaches may become unstable or infeasible
- Supports fast Fourier transform (FFT)-pruning and sparse computation for further complexity reduction
- Enables efficient and reliable encoding of spectral envelopes, crucial in low-bitrate coding schemes
- Flexible hardware and software implementation (including fixed-point, FPGA, or DSP solutions)
- Facilitates widespread and improved deployment of audio and speech codecs in diverse digital applications
Technical Classifications (CPCs)
Main Classifications
Physics & Measurement
Sub Classifications
Musical Instruments & Acoustics
CPC Codes
Inventors & Applicants
Applicants
Fraunhofer Ges Forschung
Friedrich Alexander Universität Erlangen Nuernberg
Patent Abstract
The invention provides an information encoder for encoding an information signal (IS), the information encoder (1) comprising: an analyzer (2) for analyzing the information signal (IS) in order to obtain linear prediction coefficients of a predictive polynomial A(z); a converter (3) for converting the linear prediction coefficients of the predictive polynomial A(z) to frequency values f 1 ...f n of a spectral frequency representation of the predictive polynomial A(z), wherein the converter (3) is configured to determine the frequency values f 1 ...f n by analyzing a pair of polynomials P(z) and Q(z) being defined as P z = A z + z - m - l ¢ A ¢ z - 1 and Q z = A z - z - m - l ¢ A ¢ z - 1 , wherein m is an order of the predictive polynomial A(z) and I is greater or equal to zero, wherein the converter (3) is configured to obtain the frequency values (f 1 ...f n ) by establishing a strictly real spectrum (RES) derived from P(z) and a strictly imaginary spectrum (IES) from Q(z) and by identifying zeros of the strictly real spectrum (RES) derived from P(z) and the strictly imaginary spectrum (IES) derived from Q(z); a quantizer (4) for obtaining quantized frequency (f q1 ...f qn ) values from the frequency values (f 1 ...f n ); and a bitstream producer (5) for producing a bitstream comprising the quantized frequency values (f q1 ...f qn ).
Key Information
Publication No.
EP2916319A1
Family ID
51260570
Publication Date
2015-09-09
Application No.
EP14178789A
Application Date
2014-07-28
Priority Date
2014-03-07
Granted
Yes (23/47)
Possible Cooperation
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