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computer science

Jaikoz

Jaikoz is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Jaikoz rather than just read about it. In short: Jaikoz is a Java program used for editing and mass tagging music file tags. Jaikoz generates acoustic fingerprints from music files using the AcoustID service, it can then look up the metadata from MusicBrainz using the AcoustId, additionally it can match based on metadata to MusicBrainz or Discogs.

Jaikoz — main illustration
Jaikoz — illustration

Key takeaways

  • Jaikoz belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Jaikoz to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Jaikoz from memory before moving on to harder problems.

Reference excerpt

Jaikoz is a Java program used for editing and mass tagging music file tags. Jaikoz generates acoustic fingerprints from music files using the AcoustID service, it can then look up the metadata from MusicBrainz using the AcoustId, additionally it can match based on metadata to MusicBrainz or Discogs. Matching is first applied at album level, falling back to track level where a match at album level could not be made. This allows Jaikoz to automatically fix most of a users song collection. Jaikoz uses a relatively unusual spreadsheet metaphor for both viewing and editing data, and allows editing of over fifty fields using this spreadsheet interface, the underlying jaudiotagger tag library is released under LGPL and is used by various Java applications. Jaikoz is commercially licensed software, written in Java 1.5 by Paul Taylor. A shareware version, in which changes can only be saved to 20 files during one use, is also available as a 30-day free trial. 10% of every sale is paid to the MetaBrainz Foundation to support MusicBrainz development.

History Originally released in 2006 as a standalone music tagger without any MusicBrainz support, but support for MusicBrainz was soon added. Changes in Jaikoz have always reflected changes in MusicBrainz, for example Jaikoz was the first application to make use of the new web service released as part of the MusicBrainz NGS release in 2011, and the first application to use the MusicBrainz seeding mechanism for adding new releases.

Summary of features Acoustic matching using MusicBrainz and AcoustId to match songs based on the actual music MetaData matching using MusicBrainz and Discogs to match tracks from the metadata in your files either automatically or manually Fixes artwork. Supports Multiple Audio formats and different audio formats can be edited the same easy way Export/Import metadata to/from a spreadsheet. Delete Duplicates based on Musicbrainz Id and/or Acoustic Fingerprint Find And Replace feature that can be used to find and replace values in all/any column Intelligent FileName to Tagger can extract information from the filename into the tag without having to know the format of the field Configure batch operations using AutoCorrect Full Unicode support allow any character from any language to be used Easy conversion of tags between ID3 versions Adding releases to MusicBrainz

Reviews and awards Jaikoz has been favorably received worldwide. Jaikoz was recommended in a LifeHacker article for automatically correcting your metadata.

Jaikoz version 1.1.3 was distributed by Macworld Italy magazine with its Spring, 2006 supplement "Everything iPod". Version 2.5 was favorably reviewed in 2008 by Thomas Weiss, senior editor of Macnews Germany. Macworld Germany editor Matthias Zehden concurred in his 2009 iPhoneWelt review of Jaikoz.

Academic notice In 2006, Julien Chaveau of the University of Angers cited Jaikoz as an exemplar of an automated information extraction system, and in 2008 Badawia Albassuny of King Abdulaziz University included Jaikoz in his survey of automatic metadata generators for its ability to generate metadata by analyzing content.

See also ID3 List of tag editors MusicBrainz

References

External links

Jaikoz homepage Jaikoz at MusicBrainz

Illustrations

Jaikoz illustration

Worked examples

Example 1 — a first encounter with Jaikoz

Start with the simplest possible case. Write down what Jaikoz claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Jaikoz before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Jaikoz ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Jaikoz

In research
Jaikoz appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Jaikoz in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Jaikoz is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2006 software, Acoustic fingerprinting, Java platform software, so understanding it makes those chapters shorter.
In everyday life
Look for Jaikoz outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Jaikoz in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Jaikoz means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Jaikoz out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Jaikoz in simple terms?

Jaikoz is a Java program used for editing and mass tagging music file tags. Jaikoz generates acoustic fingerprints from music files using the AcoustID service, it can then look up the metadata from MusicBrainz using the AcoustId, additionally it can match based on metadata to MusicBrainz or Discogs.

Why does Jaikoz matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Jaikoz?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Jaikoz.

Tags

  • 2006 software
  • Acoustic fingerprinting
  • Java platform software
  • MacOS multimedia software
  • Multimedia software for Linux
  • Online music database clients
  • Shareware
  • Tag editors
  • Windows multimedia software

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