نتایج جستجو برای: lyrics

تعداد نتایج: 1418  

2016
Irene Alonso Daniela Sammler Romain Valabrègue Vera Dinkelacker Sophie Dupont Pascal Belin Séverine Samson Eckart Altenmüller

sclerosis affects fMR-adaptation of lyric and melodies in songs. HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée...

2010
Hussein Hirjee Daniel G. Brown

Music listeners often mishear the lyrics to unfamiliar songs heard from public sources, such as the radio. Since standard text search engines will find few relevant results when they are entered as a query, these misheard lyrics require phonetic pattern matching techniques to identify the song. We introduce a probabilistic model of mishearing trained on examples of actual misheard lyrics, and d...

2017
Jiakun Fang David Grunberg Diane T. Litman Ye Wang

Lyrics play an important role in the semantics and the structure of many pieces of music. However, while many existing lyric analysis systems consider each sentence of a given set of lyrics separately, lyrics are more naturally understood as multi-sentence units, where the relations between sentences is a key factor. Here we describe a series of experiments using discourse-based features, which...

Journal: :Neuropsychological rehabilitation 2014
Aline Moussard Emmanuel Bigand Sylvie Belleville Isabelle Peretz

Previous studies have suggested that presenting to-be-memorised lyrics in a singing mode, instead of a speaking mode, may facilitate learning and retention in normal adults. In this study, seven healthy older adults and eight participants with mild Alzheimer's disease (AD) learned and memorised lyrics that were either sung or spoken. We measured the percentage of words recalled from these lyric...

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...

2017
Divya Singh Margareta Ackerman Rafael Pérez y Pérez

Recently, computational systems began approaching challenges that were previously considered to lay exclusively in the human creative domain, such as the art of storytelling and lyrics writing. In this paper, we explore combining these two art forms through the automated creation of ballads. We introduce MABLE (MexicA’s BaLlad machinE), based on the plot generation system, MEXICA. Integrating b...

2012
Carlo Strapparava Rada Mihalcea Alberto Battocchi

In this paper, we introduce a novel parallel corpus of music and lyrics, annotated with emotions at line level. We first describe the corpus, consisting of 100 popular songs, each of them including a music component, provided in the MIDI format, as well as a lyrics component, made available as raw text. We then describe our work on enhancing this corpus with emotion annotations using crowdsourc...

2012
Rada Mihalcea Carlo Strapparava

In this paper, we explore the classification of emotions in songs, using the music and the lyrics representation of the songs. We introduce a novel corpus of music and lyrics, consisting of 100 songs annotated for emotions. We show that textual and musical features can both be successfully used for emotion recognition in songs. Moreover, through comparative experiments, we show that the joint u...

2010
Satoru Fukayama Kei Nakatsuma Shinji Sako Takuya Nishimoto Shigeki Sagayama

Automatic composition techniques are important in sense of upgrading musical applications for amateur musicians such as composition support systems. In this paper, we present an algorithm that can automatically generate songs from Japanese lyrics. The algorithm is designed by considering composition as an optimal-solution search problem under constraints given by the prosody of the lyrics. To v...

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