Cambridge University Press / Naval Research Laboratory / Google / Freddie / ABSTRACT Music / HumorBox Entertainment / /
Country
Canada / / /
Facility
Brown University of Waterloo Cheriton School / /
IndustryTerm
long search time / search result / text search engine / search task / search algorithm / text search engines / pattern-matching algorithms / search methods / phonetic lyric search / telephone conversations / search techniques / search engine / pattern matching algorithms / /
MarketIndex
SET 50 / /
Movie
All Night Long / Born to be Wild / /
MusicAlbum
Smells Like Teen Spirit / /
MusicGroup
Nirvana / Big & Rich / Red Hot Chili Peppers / Queen / Dave Matthews Band / The Beatles / /
OperatingSystem
Syllable / /
Organization
11th International Society for Music Information Retrieval Conference / Cambridge University / Brown University / International Phonetic Association / University of Waterloo / International Society for Music Information Retrieval / Interim Report Naval Research Lab. / Waterloo Cheriton School of Computer Science / Carnegie Mellon University / Natural Sciences and Engineering Research Council of Canada / Pattern Analysis and Machine Intelligence / /
Person
Lionel Richie / Elton John / Prince / Michael Jackson / Metallica / Eric Barberio / Madonna / Daniel Brown / Leonard Cohen / Hussein Hirjee Daniel / Sylvia Wright / Alicia Keys / /
Position
Queen / song artist / Harper / Prince / King / artist / singer / Early Researcher / left end / /
ProvinceOrState
Ontario / /
PublishedMedium
IEEE Transactions on Pattern Analysis and Machine Intelligence / /
11th International Society for Music Information Retrieval Conference (ISMIRSOLVING MISHEARD LYRIC SEARCH QUERIES USING A PROBABILISTIC MODEL OF SPEECH SOUNDS Hussein Hirjee