This article will address the topic of Relaxed code-excited linear prediction, which has gained great relevance in recent times due to its impact on various areas of daily life. Since its emergence, Relaxed code-excited linear prediction has aroused great interest among experts and the general public, generating debates, research and creating new opportunities in different sectors. Throughout this writing, different aspects related to Relaxed code-excited linear prediction will be analyzed, exploring its origins, evolution and its influence on current society. In addition, different perspectives and approaches will be examined to further understand the importance and scope of Relaxed code-excited linear prediction today.
Relaxed code-excited linear prediction (RCELP) is a method used in some advanced speech codecs. The RCELP algorithm does not attempt to match the original signal exactly. Instead, it matches a time-warped version of this original signal that conforms to a simplified pitch contour.
References
- ^ Bäckström, Tom; Fuchs, Guillaume (2017-01-01). Speech Coding. Signals and Communication Technology. Springer International Publishing. pp. 205–215. doi:10.1007/978-3-319-50204-5_14. ISBN 9783319502021.
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