Title :
Voice/audio information retrieval: minimizing the need for human ears
Author :
Clements, Mark ; GavaldÁ, Marsal
Author_Institution :
Georgia Inst. of Technol., Atlanta
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;
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
DOI :
10.1109/ASRU.2007.4430183
