Ing Ngarsa Sung Tuladha Learning Model

A Graphical Model for Recognizing Sung Melodies

A method is presented for automatic transcription of sung melodic fragments to score-like representation, including metric values and pitch. A joint model for pitch, rhythm, segmentation, and tempo is defined for a sung fragment. We then discuss the identification of the globally optimal musical transcription, given the observed audio data. A post process estimates the location of the tonic, so...

Liu Sung-nien (1174–1224), Sung Dynasty. Lohan (1207)

L iu Sung-nien was a court painter from Ch'ien-t'ang (modern Hangchow). He painted figures and landscapes and was honored by Emperor Ning-tsung during the Sung Dynasty (960–1279), a prosperous and culturally rich period of Chinese history. The arts (silk tapestries, embroideries, calligraphy, lacquer, porcelain, pottery) explored the complexities of the physical and spiritual world, and paintin...

Ing Inductive Neural Network Learning and Explanation-based Learning

A Comprehensive Trainable Error Model for Sung Music Queries

We propose a model for errors in sung queries, a variant of the hidden Markov model (HMM). This is a solution to the problem of identifying the degree of similarity between a (typically error-laden) sung query and a potential target in a database of musical works, an important problem in the field of music information retrieval. Similarity metrics are a critical component of “query-by-humming” ...

SURF-ing a Model of Spatiotemporal Saliency

Zhai and Shah (2006) proposed a model of spatiotemporal saliency using a combination of temporal and spatial attention models. The temporal model utilized Lowe’s SIFT (2004) to compute feature points and the correspondences between them in successive frames. Bay, Tuytelaars, & Van Gool introduced SURF (2006) as an alternative feature detector and descriptor. The authors of SURF show that it is ...