Speech and language technologies for audio indexing and retrieval

2000 ◽  
Vol 88 (8) ◽  
pp. 1338-1353 ◽  
Author(s):  
J. Makhoul ◽  
F. Kubala ◽  
T. Leek ◽  
Daben Liu ◽  
Long Nguyen ◽  
...  
Author(s):  
Mohammed Yassine Kazi Tani ◽  
Abdelghani Ghomari ◽  
Lamia Dali Youcef ◽  
Adel Lablack ◽  
Ioan Marius Bilasco

Author(s):  
KARTHIKEYAN K

A brief overview of trends and developments in the area of Content-Based Audio Indexing and Retrieval (CBAIR), during the past few years. Here we explored some limitations and constrains of existing Query by Example (QBE) and Query by Humming (QBH) CBAIR systems. We talked about different methods to represent musical objects, like feature-based representation, musical parameter-based representation; similarly retrieval strategies, like feature based retrieval as well as melody or theme based retrieval of musical objects, in this paper. Moreover, some important issues regarding to indexing and retrieval performance i.e. efficient indexing and retrieval complexity, in this area are discussed thoroughly. Finally, hypothetical solutions for the existing problems in this area are proposed to improve the performance. 


2003 ◽  
Vol 9 (4) ◽  
pp. 421-424
Author(s):  
ROBERT DALE

A principal aim of this journal is to bridge the gap between traditional computational linguistics research and the implementation of practical applications with potential real-world use. This new column aims to help with that bridge-building, by providing a window on to what is happening with speech and language technologies in the industrial and commercial worlds, and a discussion forum for topics of interest in the technology transfer space.


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