An Effective Re-ranking Method Based on Learning to Rank for Improving Audio Fingerprinting
碩士 === 國立清華大學 === 資訊系統與應用研究所 === 102 === Audio Fingerprinting (AFP) is a fast way of music retrieval. It first records a segment of a music through the microphone on a cellphone or tablet device, and sends the recorded segment to the server for AFP computation. The server returns the most possible s...
Main Authors: | Lin, Meng-Hua, 林孟樺 |
---|---|
Other Authors: | Jang, Jyh-Shing |
Format: | Others |
Language: | zh-TW |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/68103600602734483480 |
Similar Items
-
Improving Retrieval Effectiveness by Document Re-ranking and Local Expansion
by: Wen-chi Wang, et al.
Published: (2007) -
Improvement of Landmark-based Audio Fingerprinting
by: Wan-Ting Yen, et al.
Published: (2016) -
On the Improvement of Landmark-based Audio Fingerprinting
by: Zenhon Zhuo, et al.
Published: (2016) -
Using iterative ranking aggregation method improve group ranking in group recommender
by: Chai,Chi-Lin, et al.
Published: (2019) -
Research on Improving Audio Fingerprinting Extraction Method
by: Chi-hao Hsieh, et al.
Published: (2015)