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This paper proposes a novel method for improving query-by-singing/humming systems by using both melody and lyric information. First, singing/humming discrimination is performed to distinguish between singing and humming queries, which is achieved by considering the similarity between acoustic models. For the humming queries, a pitch-only melody recognition method that was ranked first among the MIREX...
We develop a finite volume method on a geometrically refined mesh to effectively treat the boundary layer singularity of the solutions to the boundary value problem of fractional differential equations. We further exploit the structure of the stiffness matrix to develop a properly modified fast conjugate gradient method for the efficient solution of the linear algebraic system. The fast method has...
This paper presents the use of GPUs for implementing a parallelized comparison engine in a query-by-singing/humming (QBSH) system, which takes a user's singing or humming input and returns the most likely song from a database of about 13,000 song tracks. To speed up the comparison, we employ repeating pattern removal to retain only unique tunes in the database. Moreover, we explore different parallel...
This paper presents the use of GPU for implementing a parallelized comparison method of linear scaling in a query by singing/humming system, which can compare a user's acoustic input to the database containing about 13,000 songs. We focus on the comparison from anywhere in a song, and the optimum setting is found through 3 different schemes of parallelization. With a speedup factor of 66, the proposed...
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