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Tagtraum Industries beaTunes v2.1.8 MacOSX iTune音樂收藏軟體 英文正式版

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軟體簡介:



Tagtraum Industries beaTunes v2.1.8 MacOSX iTune音樂收藏軟體 英文正式版








軟體簡介：
BeaTunes 是一款具有自動地分析你的音樂收藏以幫助你創建更好的播放列表功能的
iTunes 應用組件。該軟體可以分析 BPM（每分鐘的節拍），歌曲開頭和結尾靜音以
及彩色（根據音頻光譜）顯示給出的歌曲。一些資料通過 iTunes 存儲，而一些通過
beaTunes 自身存儲。此外，beaTunes 可以建議可以補充你的音樂收藏的專輯，顯
示音樂圖表以及幫助你糾正印刷錯誤，錯誤流派等等。該軟體還允許你博客有關選擇
的歌曲或者播放列表。


英文說明：
What started out as a BPM detection tool for DJs, runners and dancers, has
become one of the finest iTunes? library management tools around.

beaTunes' powerful inspection feature lets you clean up your iTunes track
data in a way unrivaled by any other software on the market today. Easily
find typos or different spellings of artists' names, automatically fill in
the album artist names, and much more. No more R.E.M. and REM in your iPod's
artist list! No more albums hidden in the compilations section.

beaTunes can even help you to find the titles of tracks that have no artist
or title associated with them.

And once you have a clean collection, the built-in playlist generator works
even better.

Here are some more examples of what you can do with beaTunes:

* Automatically determine BPM (beats per minute) and store the result in iTunes
* Automatically detect the tonal key of your songs
* Look up track metadata using acoustic fingerprints
* Inspect and fix your music library (typos, wrong genre, wrong sortname,
missing file a.k.a the iTunes exclamation mark problem, etc.)
* Create matchlists, i.e. playlists based on one or more sample songs
* Import lyrics from Lyricsfly and determine their language automatically
* Sort existing playlists so that matching songs succeed each other
* Browse songs from your music collection that match the currently selected song
* Discover albums that aren't in your music collection, but would complement it
* Keep up to date through Amazon? album charts
* Categorize songs by their sound color
* Automatically set start and end times of songs based on their volume
* Create blog entries on blogger.com with your favorite playlist or songs
* Add del.icio.us like tags to your songs
* Manually determine BPM and store the result in iTunes