A Hierarchical Retrieval Method Based on Hash Table for Audio Fingerprinting

2021 ◽  
pp. 160-174
Author(s):  
Tianhao Li ◽  
Maoshen Jia ◽  
Xuan Cao
Keyword(s):  
Hash Table ◽  
Retrieval Method ◽  
Audio Fingerprinting

scholarly journals Audio Fingerprint Extraction Based on Locally Linear Embedding for Audio Retrieval System

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1483
Author(s):  
Maoshen Jia ◽  
Tianhao Li ◽  
Jing Wang
Keyword(s):  
Locally Linear Embedding ◽  
Time Warping ◽  
Retrieval Method ◽  
Audio Fingerprinting ◽  
Audio Retrieval ◽  
Audio Data ◽  
Linear Embedding ◽  
Matching Strategy ◽  
Dynamic Time ◽  
Locally Linear

With the appearance of a large amount of audio data, people have a higher demand for audio retrieval, which can quickly and accurately find the required information. Audio fingerprint retrieval is a popular choice because of its excellent performance. However, there is a problem about the large amount of audio fingerprint data in the existing audio fingerprint retrieval method which takes up more storage space and affects the retrieval speed. Aiming at the problem, this paper presents a novel audio fingerprinting method based on locally linear embedding (LLE) that has smaller fingerprints and the retrieval is more efficient. The proposed audio fingerprint extraction divides the bands around each peak in the frequency domain into four groups of sub-regions and the energy of every sub-region is computed. Then the LLE is performed for each group, respectively, and the audio fingerprint is encoded by comparing adjacent energies. To solve the distortion of linear speed changes, a matching strategy based on dynamic time warping (DTW) is adopted in the retrieval part which can compare two audio segments with different lengths. To evaluate the retrieval performance of the proposed method, the experiments are carried out under different conditions of single and multiple groups’ dimensionality reduction. Both of them can achieve a high recall and precision rate and has a better retrieval efficiency with less data compared with some state-of-the-art methods.

Experimental Design as a Retrieval Method for Assessing the Phenomenological Characteristics of Episodic Memories, Episodic Future Thoughts, and Episodic Counterfactual Thoughts

2020 ◽  
Author(s):  
Jared Branch
Keyword(s):  
Experimental Design ◽  
Effect Sizes ◽  
Retrieval Method ◽  
Future Studies ◽  
Within Subjects ◽  
Demand Effects ◽  
Episodic Memories ◽  
Theoretical Considerations

Studies assessing the phenomenological characteristics of episodic memories, episodic future thoughts, and episodic counterfactual thoughts normally utilize a within-subjects design. As such, there are concerns that the observed similarities in phenomenological characteristics are the result of demand effects or other related matters, rather than theoretical considerations. In this study, a within-subjects experimental design was directly compared with a between-subjects experimental design. In both conditions, participants responded to existing questionnaires used to assess phenomenological characteristics of episodic memories, episodic future thoughts, and episodic counterfactual thoughts. The within-subjects design resulted more often in significant findings and larger effect sizes compared to the between-subjects design. The implications for experimental design in future studies is discussed.

Cross-Media Retrieval Method Based on Content Correlations

2009 ◽  
Vol 31 (5) ◽  
pp. 820-826 ◽  
Author(s):  
Hong ZHANG ◽  
Fei WU ◽  
Yue-Ting ZHUANG ◽  
Jian-Xun CHEN
Keyword(s):  
Retrieval Method ◽  
Cross Media

Local description and retrieval method for binary image contour

2010 ◽  
Vol 30 (1) ◽  
pp. 65-67 ◽  
Author(s):  
Xiao-dong YANG ◽  
Ling-da WU ◽  
Yu-xiang XIE ◽  
Zheng YANG ◽  
Wen ZHOU
Keyword(s):  
Binary Image ◽  
Retrieval Method ◽  
Local Description ◽  
Image Contour

Two-stage IPv6 route search algorithm based on perfect-Hash table and multibit-trie

2013 ◽  
Vol 33 (5) ◽  
pp. 1194-1196
Author(s):  
Fei DU ◽  
Zhiguo DONG ◽  
Lin MIAO ◽  
Yupeng TUO
Keyword(s):  
Search Algorithm ◽  
Hash Table ◽  
Two Stage ◽  
Route Search

An Inverted Index Based Audio Retrieval Method

2013 ◽  
Vol 34 (11) ◽  
pp. 2561-2567 ◽  
Author(s):  
Xue-yuan Zhang ◽  
Qian-hua He ◽  
Yan-xiong Li ◽  
Wan-ling Ye
Keyword(s):  
Inverted Index ◽  
Retrieval Method ◽  
Audio Retrieval
Sign in / Sign up

Export Citation Format

Share Document