Telefonaktiebolaget lm ericsson (publ) (20240135936). SPECTRAL SHAPE ESTIMATION FROM MDCT COEFFICIENTS simplified abstract
Contents
- 1 SPECTRAL SHAPE ESTIMATION FROM MDCT COEFFICIENTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SPECTRAL SHAPE ESTIMATION FROM MDCT COEFFICIENTS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SPECTRAL SHAPE ESTIMATION FROM MDCT COEFFICIENTS
Organization Name
telefonaktiebolaget lm ericsson (publ)
Inventor(s)
Martin Sehlstedt of LULEÅ (SE)
SPECTRAL SHAPE ESTIMATION FROM MDCT COEFFICIENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135936 titled 'SPECTRAL SHAPE ESTIMATION FROM MDCT COEFFICIENTS
Simplified Explanation
The patent application describes a method, decoder, and program code for controlling a concealment method for a lost audio frame. The method involves decoding two audio frames to obtain modified discrete cosine transform (MDCT) coefficients, determining spectral shapes based on the MDCT coefficients, transforming the values of the spectral shapes and frame energies into representations of FFT-based spectral analyses, detecting transient conditions based on the FFT representations, and modifying the concealment method by adjusting the spectrum magnitude of a substitution frame spectrum when a transient condition is detected.
- Decoding two audio frames to obtain MDCT coefficients
- Determining spectral shapes based on the MDCT coefficients
- Transforming values of spectral shapes and frame energies into representations of FFT-based spectral analyses
- Detecting transient conditions based on the FFT representations
- Modifying the concealment method by adjusting the spectrum magnitude of a substitution frame spectrum
Potential Applications
This technology could be applied in audio processing systems, such as in audio codecs or audio editing software, to improve the quality of audio playback by effectively concealing lost audio frames.
Problems Solved
This technology solves the problem of audio signal loss or corruption by providing an efficient method for concealing lost audio frames, ensuring a seamless audio playback experience for users.
Benefits
The benefits of this technology include improved audio quality, seamless audio playback, and enhanced user experience when dealing with audio signal loss or corruption.
Potential Commercial Applications
Potential commercial applications of this technology include integration into audio codecs, audio editing software, streaming services, and communication systems to enhance the quality of audio transmission and playback.
Possible Prior Art
One possible prior art for this technology could be methods for concealing lost audio frames in audio codecs or communication systems.
Unanswered Questions
How does this technology compare to existing methods for concealing lost audio frames?
This article does not provide a direct comparison with existing methods for concealing lost audio frames.
What are the specific algorithms used in the method for adjusting the spectrum magnitude of the substitution frame spectrum?
The article does not delve into the specific algorithms used for adjusting the spectrum magnitude of the substitution frame spectrum.
Original Abstract Submitted
a method, decoder, and program code for controlling a concealment method for a lost audio frame is provided. a first audio frame and a second audio frame of the received audio signal are decoded to obtain modified discrete cosine transform (mdct) coefficients. values of a first spectral shape based upon the mdct coefficients decoded from the first audio frame decoded and values of a second spectral shape based upon mdct coefficients decoded from the second audio frame decoded are determined, the spectral shapes each comprising a number of sub-bands. the values of the spectral shapes and frame energies of the first audio frame and second audio frame are transformed into representations of fft based spectral analyses. a transient condition is detected based on the representations of the ffts. responsive to detecting the transient condition, the concealment method is modified by selectively adjusting a spectrum magnitude of a substitution frame spectrum.
