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 :
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