Fast Query-by-Singing/Humming System That Combines Linear Scaling and Quantized Dynamic Time Warping Algorithm
We newly propose a query-by-singing/humming (QbSH) system considering both the preclassification and multiple classifier-based method by combining linear scaling (LS) and quantized dynamic time warping (QDTW) algorithm in order to enhance both the matching accuracy and processing speed. This is appr...
Saved in:
Main Authors: | Gi Pyo Nam, Kang Ryoung Park |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-06-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2015/176091 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
GPU Acceleration of Melody Accurate Matching in Query-by-Humming
by: Limin Xiao, et al.
Published: (2014-01-01) -
QUERY2BERT: Combining Knowledge Graph and Language Model for Reasoning on Logical Queries
by: Truong H. V. Phan, et al.
Published: (2025-01-01) -
Extreme Scale Height Variations and Nozzle Shocks in Warped Disks
by: Nicholas Kaaz, et al.
Published: (2025-01-01) -
Development of an individual warp beam tension control system for warp assembling machines in direct warp preparation
by: Recep Eren, et al.
Published: (2025-02-01) -
CONCEPT OF TRANSDUCER BASE FOR HUMS OF SUSPENSION SYSTEM OF HIGH MOBILITY WHEELED VEHICLE
by: KOSOBUDZKI MARIUSZ
Published: (2024-07-01)