DocumentCode
2770327
Title
Voice/audio information retrieval: minimizing the need for human ears
Author
Clements, Mark ; GavaldÁ, Marsal
Author_Institution
Georgia Inst. of Technol., Atlanta
fYear
2007
fDate
9-13 Dec. 2007
Firstpage
613
Lastpage
623
Abstract
This paper discusses the challenges of building information retrieval applications that operate on large amounts of voice/audio data. Various problems and issues are presented along with proposed solutions. A set of techniques based on a phonetic keyword spotting approach is presented, together with examples of concrete applications that solve real-life problems.
Keywords
audio signal processing; ear; information retrieval; minimisation; speech recognition; human ears; phonetic keyword spotting approach; speech recognition; voice/audio information retrieval; Broadcasting; Data mining; Databases; Ear; Humans; Information retrieval; Internet; Natural languages; Signal processing; Speech analysis; Phonetic search; information retrieval; speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Speech Recognition & Understanding, 2007. ASRU. IEEE Workshop on
Conference_Location
Kyoto
Print_ISBN
978-1-4244-1746-9
Electronic_ISBN
978-1-4244-1746-9
Type
conf
DOI
10.1109/ASRU.2007.4430183
Filename
4430183
Link To Document