Tra-la-Lyrics 2.0: Automatic Generation of Song Lyrics on a Semantic Domain
نویسندگان
چکیده
منابع مشابه
Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics
We present an approach to automatically retrieve and extract lyrics of arbitrary songs from the Internet. It is intended to provide easy and convenient access to lyrics for users, as well as a basis for further research based on lyrics, e.g. semantic analysis. Due to the fact that many lyrics found on the web suffer from individual errors like typos, we make use of multiple versions from differ...
متن کاملAddendum to “Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics” Technical Report
The purpose of this technical report is to discuss two additional aspects of automatic lyrics retrieval as described in “Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics” by Knees et al., 2005. The first aspect is the introduction of a confidence measure to estimate the quality of the generated output. The second aspect deals with the automatic formatting of generated lyrics to pre...
متن کاملAutomatic Generation of Tamil Lyrics for Melodies
This paper presents our ongoing work to automatically generate lyrics for a given melody, for phonetic languages such as Tamil. We approach the task of identifying the required syllable pattern for the lyric as a sequence labeling problem and hence use the popular CRF++ toolkit for learning. A corpus comprising of 10 melodies was used to train the system to under...
متن کاملText Visualization of Song Lyrics
We investigate techniques for visualizing song lyrics. Specifically, we present a design to tightly align musical and linguistic features of a song in a way that preserves the readability of lyrics, while conveying how the melodic, harmonic, and metric lines of the music fit with the text. We demonstrate and evaluate our technique on two examples that have been implemented using Protovis, and p...
متن کاملArtist Attribution via Song Lyrics
Song lyrics, separated from the audio signal of their song, still contain a significant amount of information. Mood and meaning can still be conveyed effectively by a pure textual representation. There has even been somewhat successful previous work on genre classification from song lyrics[7]. Building on previous work, we seek to build an artist attribution system for song lyrics. This task is...
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ژورنال
عنوان ژورنال: Journal of Artificial General Intelligence
سال: 2015
ISSN: 1946-0163
DOI: 10.1515/jagi-2015-0005