|Table of Contents|

A Speech Segmentation Algorithm Based on Improved Eigenvalue(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2011年03期
Page:
73-77
Research Field:
Publishing date:

Info

Title:
A Speech Segmentation Algorithm Based on Improved Eigenvalue
Author(s):
Ren Xinshe1; Miao Hua 2; Ma Qingyu3
1.Department of Educational Technology,Nanjing Normal University,Nanjing 210097,China
Keywords:
speech retrieval; speech segmentation; improved eigenvalue
PACS:
TN912.3
DOI:
-
Abstract:
With the rapid development of internet technology and media application，text-based retrieval cannot satisfy the requirements and auditory-visual processing can not be applied for the large data amount，so the emergence of speech retrieval is particularly important． An audio clip usually consists of many different types of audio segments with different meanings; therefore，it becomes a new method to perform speech retrieval with audio segmentation for modern media based on audio eigenvalue． In the article，the basic eigenvalue of each audio frame is compared with the average eigenvalue of the entire audio clip and then the improved eigenvalue can be obtained for audio segmentation by using the KNearest Neighbor algorithm． The experimental results show that the proposed algorithm based on the improved eigenvalue can efficiently improve the accuracy of audio segmentation．

References:

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Last Update: 2013-03-21