نتایج جستجو برای: song lyrics

تعداد نتایج: 12919  

2009
Hussein Hirjee Daniel G. Brown

Imperfect and internal rhymes are two important features in rap music often ignored in the music information retrieval community. We develop a method of scoring potential rhymes using a probabilistic model based on phoneme frequencies in rap lyrics. We use this scoring scheme to automatically identify internal and line-final rhymes in song lyrics and demonstrate the performance of this method c...

2008
Yi-Hsuan Yang Yu-Ching Lin Heng Tze Cheng I-Bin Liao Yeh-Chin Ho Homer H. Chen

The performance of categorical music emotion classification that divides emotion into classes and uses audio features alone for emotion classification has reached a limit due to the presence of a semantic gap between the object feature level and the human cognitive level of emotion perception. Motivated by the fact that lyrics carry rich semantic information of a song, we propose a multi-modal ...

2016
Juliette Faille Yuyi Wang

Karaoke is a game in which players sing over pre-recorded instrumental backing tracks. To help the singer, lyrics are usually displayed on a video screen. The synchronization between the lyrics display and the song record, often done manually, is a tedious and time-consuming task. Automation of the annotation of karaoke songs can help save time and effort. In this thesis we use the representati...

2008
Peter Knees

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...

2014
Shoto Sasaki Kazuyoshi Yoshii Tomoyasu Nakano Masataka Goto Shigeo Morishima

This paper presents a lyrics retrieval system called LyricsRadar that enables users to interactively browse song lyrics by visualizing their topics. Since conventional lyrics retrieval systems are based on simple word search, those systems often fail to reflect user’s intention behind a query when a word given as a query can be used in different contexts. For example, the word“tears”can appear ...

2015
Kazuhiko Yamamoto Takeo Igarashi

We propose a novel user interface that enables control of a singing voice synthesizer at a live improvisational performance. The user first registers the lyrics of a song with the system before performance, and the system builds a probabilistic model that models the possible jumps within the lyrics. During performance, the user simultaneously inputs the lyrics of a song with the left hand using...

2011
Jane Bringolf

The lyrics to the 1965 song My Generation expresses the sentiment that being ‘old’ is undesirable – hence the song line, “Hope I die before I get old”. In a preceding line the lyrics “People try to put us down...” indicate that older people lack pertinent insights into the hopes and desires of young people. The ‘misunderstood’ generation of the 1960s is now today’s ‘baby boomer’ generation – pe...

2006
Gijs Geleijnse Jan H. M. Korst

We present a novel method to extract lyrics from the Web. The aim is to extract a set of multiple versions of the lyrics to a song. Lyrics can be identified within a text by a regular expression. We use a projection of a document to efficiently identify lyrics within the document by mapping it to a regular expression. We describe a method to cluster the multiple versions of the lyrics by filter...

2008
Rudolf Mayer Robert Neumayer Andreas Rauber

How individuals perceive music is influenced by many different factors. The audible part of a piece of music, its sound, does for sure contribute, but is only one aspect to be taken into account. Cultural information influences how we experience music, as does the songs’ text and its sound. Next to symbolic and audio based music information retrieval, which focus on the sound of music, song lyr...

2009
Satoru Fukayama Kei Nakatsuma Shinji Sako Yuichiro Yonebayashi Tae Hun Kim Si Wei Qin Takuho Nakano Takuya Nishimoto Shigeki Sagayama

We present an algorithm for song composition using prosody of Japanese lyrics. Since Japanese is a “pitch accent” language, listener’s apprehension is strongly affected by the pitch motions of the speaker. For example, the meaning of Japanese word “ha-shi” changes with the pitch. It means “bridge” with an upward pitch motion, and “chopsticks” with the motion inversed. A melody attached to the l...

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