Search Results - "Smith, Jordan B. L"

Audio Properties of Perceived Boundaries in Music by Smith, Jordan B. L., Ching-Hua Chuan, Chew, Elaine

“…Data mining tasks such as music indexing, information retrieval, and similarity search, require an understanding of how listeners process music internally…”
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Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications by Nieto, Oriol, Mysore, Gautham J., Wang, Cheng-i, Smith, Jordan B. L., Schlüter, Jan, Grill, Thomas, McFee, Brian

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To Catch A Chorus, Verse, Intro, or Anything Else: Analyzing a Song with Structural Functions by Wang, Ju-Chiang, Hung, Yun-Ning, Smith, Jordan B. L.

“…Conventional music structure analysis algorithms aim to divide a song into segments and to group them with abstract labels (e.g., 'A', 'B', and 'C'). However,…”
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Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications by Nieto, Oriol, Mysore, Gautham J., Wang, Cheng-i, Smith, Jordan B. L., Schlüter, Jan, Grill, Thomas, McFee, Brian

“…With recent advances in the field of music informatics, approaches to audio-based music structural analysis have matured considerably, allowing researchers to…”
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Probabilistic transcription of sung melody using a pitch dynamic model by Luwei Yang, Maezawa, Akira, Smith, Jordan B. L., Chew, Elaine

“…Transcribing the singing voice into music notes is challenging due to pitch fluctuations such as portamenti and vibratos. This paper presents a probabilistic…”
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The CrossSong Puzzle: Developing a Logic Puzzle for Musical Thinking by Smith, Jordan B.L., Kato, Jun, Fukayama, Satoru, Percival, Graham, Goto, Masataka

“…There is considerable interest in music-based games and apps. However, in existing games, music generally serves as an accompaniment or as a reward for…”
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Listening as a Creative Act: Meaningful Differences in Structural Annotations of Improvised Performances by Smith, Jordan B. L., Schankler, Isaac, Chew, Elaine

“…Some important theories of music cognition, such as Lerdahl and Jackendoff’s (1983) A Generative Theory of Tonal Music , posit an archetypal listener with an…”
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Nonnegative Tensor Factorization for Source Separation of Loops in Audio by Smith, Jordan B. L., Goto, Masataka

“…The prevalence of exact repetition in loop-based music makes it an opportune target for source separation. Nonnegative factorization approaches have been used…”
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Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-Task Learning by Wang, Ju-Chiang, Smith, Jordan B.L., Chen, Jitong, Song, Xuchen, Wang, Yuxuan

“…This paper presents a novel supervised approach to detecting the chorus segments in popular music. Traditional approaches to this task are mostly unsupervised,…”
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Music Structure Boundary Detection and Labelling by a Deconvolution of Path-Enhanced Self-Similarity Matrix by Cheng, Tian, Smith, Jordan B. L., Goto, Masataka

“…We propose a music structure analysis method that converts a path-enhanced self-similarity matrix (SSM) into a block-enhanced SSM using non-negative matrix…”
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Audio Properties of Perceived Boundaries in Music : Music Data Mining by SMITH, Jordan B. L, CHUAN, Ching-Hua, CHEW, Elaine

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MuSFA: Improving Music Structural Function Analysis with Partially Labeled Data by Wang, Ju-Chiang, Smith, Jordan B. L, Hung, Yun-Ning

“…Music structure analysis (MSA) systems aim to segment a song recording into non-overlapping sections with useful labels. Previous MSA systems typically predict…”
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To catch a chorus, verse, intro, or anything else: Analyzing a song with structural functions by Wang, Ju-Chiang, Hung, Yun-Ning, Smith, Jordan B. L

“…Conventional music structure analysis algorithms aim to divide a song into segments and to group them with abstract labels (e.g., 'A', 'B', and 'C'). However,…”
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SymPAC: Scalable Symbolic Music Generation With Prompts And Constraints by Chen, Haonan, Smith, Jordan B. L, Spijkervet, Janne, Wang, Ju-Chiang, Zou, Pei, Li, Bochen, Kong, Qiuqiang, Du, Xingjian

“…Progress in the task of symbolic music generation may be lagging behind other tasks like audio and text generation, in part because of the scarcity of symbolic…”
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Modeling the Rhythm from Lyrics for Melody Generation of Pop Song by Zhang, Daiyu, Wang, Ju-Chiang, Kosta, Katerina, Smith, Jordan B. L, Zhou, Shicen

“…Creating a pop song melody according to pre-written lyrics is a typical practice for composers. A computational model of how lyrics are set as melodies is…”
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Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops by Chen, Bo-Yu, Smith, Jordan B. L, Yang, Yi-Hsuan

“…Music producers who use loops may have access to thousands in loop libraries, but finding ones that are compatible is a time-consuming process; we hope to…”
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Supervised Metric Learning for Music Structure Features by Wang, Ju-Chiang, Smith, Jordan B. L, Lu, Wei-Tsung, Song, Xuchen

“…Music structure analysis (MSA) methods traditionally search for musically meaningful patterns in audio: homogeneity, repetition, novelty, and segment-length…”
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A comparison and evaluation of approaches to the automatic formal analysis of musical audio by Smith, Jordan B. L

“…Analyzing the form or structure of pieces of music is a fundamental task for music theorists. Several algorithms have been developed to automatically produce…”
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Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-task Learning by Wang, Ju-Chiang, Smith, Jordan B. L, Chen, Jitong, Song, Xuchen, Wang, Yuxuan

“…This paper presents a novel supervised approach to detecting the chorus segments in popular music. Traditional approaches to this task are mostly unsupervised,…”
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Modeling the Compatibility of Stem Tracks to Generate Music Mashups by Huang, Jiawen, Wang, Ju-Chiang, Smith, Jordan B. L, Song, Xuchen, Wang, Yuxuan

“…A music mashup combines audio elements from two or more songs to create a new work. To reduce the time and effort required to make them, researchers have…”
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