Search results
Results from the WOW.Com Content Network
In signal processing, sub-band coding (SBC) is any form of transform coding that breaks a signal into a number of different frequency bands, typically by using a fast Fourier transform, and encodes each one independently. This decomposition is often the first step in data compression for audio and video signals.
Time-domain harmonic scaling (TDHS) is a method for time-scale modification of speech (or other audio signals), [1] allowing the apparent rate of speech articulation to be changed without affecting the pitch-contour and the time-evolution of the formant structure. [2]
G.722 [4] is an ITU-T standard wideband speech codec operating at 48, 56 and 64 kbit/s, based on subband coding with two channels and ADPCM coding of each. [5] Before the digitization process, it catches the analog signal and divides it in frequency bands with quadrature mirror filters (QMF) to get two subbands of the signal. When the ADPCM ...
Speech coding differs from other forms of audio coding in that speech is a simpler signal than other audio signals, and statistical information is available about the properties of speech. As a result, some auditory information that is relevant in general audio coding can be unnecessary in the speech coding context.
Speech codecs differ from Audio codecs in that they are optimized for speech signals. Human speech can be modeled easier than generic audio. This means that high quality speech can be coded with specific methods better than generic audio. On the other hand humans are very good at hearing problems with human speech signal.
In signal processing, a filter bank (or filterbank) is an array of bandpass filters that separates the input signal into multiple components, each one carrying a sub-band of the original signal. [1] One application of a filter bank is a graphic equalizer , which can attenuate the components differently and recombine them into a modified version ...
LSP is an important technology for speech synthesis and coding, and in the 1990s was adopted by almost all international speech coding standards as an essential component, contributing to the enhancement of digital speech communication over mobile channels and the internet worldwide. [3]
Wavelet Packet Decomposition is a powerful signal processing technique that offers a multi-resolution analysis of the timber's moisture content. This approach allows for a detailed examination of the signal at different frequency bands, providing a more comprehensive understanding of the moisture distribution within the material. [13]