Algebraic Code Excited Linear Prediction

de

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Algebraic Code Excited Linear Prediction

Quality:

Algebraic code-excited linear prediction - speech coding standard. Article “Algebraic Code Excited Linear Prediction” in German Wikipedia has 20.3 points for quality (as of July 1, 2025). The article contains 2 references and 2 sections.

This article has the best quality in English Wikipedia. Also, this article is the most popular in that (German) language version.

Since the creation of article “Algebraic Code Excited Linear Prediction”, its content was written by 15 registered users of German Wikipedia and edited by 65 registered Wikipedia users in all languages.

The article is cited 11 times in German Wikipedia and cited 837 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (German): #46183 in February 2010
  • Global: #80104 in October 2004

The highest popularity rank from 2008:

  • Local (German): #373041 in September 2014
  • Global: #421547 in January 2009

There are 5 language versions for this article in the WikiRank database (of the considered 55 Wikipedia language editions).

The quality and popularity assessment was based on Wikipédia dumps from July 1, 2025 (including revision history and pageviews for previous years).

The table below shows the language versions of the article with the highest quality.

Languages with the highest quality

#LanguageQuality gradeQuality score
1English (en)
Algebraic code-excited linear prediction
21.4266
2German (de)
Algebraic Code Excited Linear Prediction
20.2879
3Korean (ko)
ACELP
17.4515
4Japanese (ja)
Algebraic Code Excited Linear Prediction
13.7557
5French (fr)
ACELP
8.1865
More...

The following table shows the most popular language versions of the article.

Most popular in all the time

The most popular language versions of the article "Algebraic Code Excited Linear Prediction" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
Algebraic code-excited linear prediction
253 376
2Japanese (ja)
Algebraic Code Excited Linear Prediction
28 522
3German (de)
Algebraic Code Excited Linear Prediction
18 712
4Korean (ko)
ACELP
4 545
5French (fr)
ACELP
572
More...

The following table shows the language versions of the article with the highest popularity in the last month.

Most popular in June 2025

The most popular language versions of the article "Algebraic Code Excited Linear Prediction" in June 2025
#LanguagePopularity awardRelative popularity
1English (en)
Algebraic code-excited linear prediction
539
2Japanese (ja)
Algebraic Code Excited Linear Prediction
57
3German (de)
Algebraic Code Excited Linear Prediction
55
4French (fr)
ACELP
24
5Korean (ko)
ACELP
14
More...

The following table shows the language versions of the article with the highest Authors’ Interest.

The highest AI

Language versions of the article "Algebraic Code Excited Linear Prediction" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
Algebraic code-excited linear prediction
36
2German (de)
Algebraic Code Excited Linear Prediction
15
3Japanese (ja)
Algebraic Code Excited Linear Prediction
8
4French (fr)
ACELP
4
5Korean (ko)
ACELP
2
More...

The following table shows the language versions of the article with the highest Authors’ Interest in the last month.

The highest AI in June 2025

Language versions of the article "Algebraic Code Excited Linear Prediction" with the highest AI in June 2025
#LanguageAI awardRelative AI
1German (de)
Algebraic Code Excited Linear Prediction
0
2English (en)
Algebraic code-excited linear prediction
0
3French (fr)
ACELP
0
4Japanese (ja)
Algebraic Code Excited Linear Prediction
0
5Korean (ko)
ACELP
0
More...

The following table shows the language versions of the article with the highest number of citations.

The highest CI

Language versions of the article "Algebraic Code Excited Linear Prediction" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1English (en)
Algebraic code-excited linear prediction
377
2Japanese (ja)
Algebraic Code Excited Linear Prediction
252
3Korean (ko)
ACELP
194
4German (de)
Algebraic Code Excited Linear Prediction
11
5French (fr)
ACELP
3
More...

Scores

Estimated value for Wikipedia:
German:
Global:
Popularity in June 2025:
German:
Global:
Popularity in all years:
German:
Global:
Authors in June 2025:
German:
Global:
Registered authors in all years:
German:
Global:
Citations:
German:
Global:

Quality measures

Interwikis

#LanguageValue
deGerman
Algebraic Code Excited Linear Prediction
enEnglish
Algebraic code-excited linear prediction
frFrench
ACELP
jaJapanese
Algebraic Code Excited Linear Prediction
koKorean
ACELP

Popularity rank trends

Best Rank German:
#373041
09.2014
Global:
#421547
01.2009

AI rank trends

Best Rank German:
#46183
02.2010
Global:
#80104
10.2004

Languages comparison

Important global interconnections (July 2024 – June 2025)

Wikipedia readers most often find their way to information on Algebraic code-excited linear prediction from Wikipedia articles about Audible, Code-excited linear prediction, Adaptive Multi-Rate audio codec, Adaptive Multi-Rate Wideband and Unified Speech and Audio Coding. Whereas reading the article about Algebraic code-excited linear prediction people most often go to Wikipedia articles on Code-excited linear prediction, Linear predictive coding, Terrestrial Trunked Radio, Speech coding and Audible.

Cumulative results of quality and popularity of the Wikipedia article

List of Wikipedia articles in different languages (starting with the most popular):

ko: ACELP
fr: ACELP

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About WikiRank

The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information