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» Techniques for Automatic Music Transcription
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LREC
2010
188views Education» more  LREC 2010»
15 years 12 days ago
Example-Based Automatic Phonetic Transcription
Current state-of-the-art systems for automatic phonetic transcription (APT) are mostly phone recognizers based on Hidden Markov models (HMMs). We present a different approach for ...
Christina Leitner, Martin Schickbichler, Stefan Pe...
MM
2010
ACM
182views Multimedia» more  MM 2010»
14 years 11 months ago
Joke-o-Mat HD: browsing sitcoms with human derived transcripts
Joke-o-mat HD is a system that allows a user to navigate sitcoms (such as Seinfeld) by "narrative themes", including scenes, punchlines, and dialog segments. The themes ...
Adam Janin, Luke R. Gottlieb, Gerald Friedland
CHI
2008
ACM
15 years 11 months ago
MySong: automatic accompaniment generation for vocal melodies
We introduce MySong, a system that automatically chooses chords to accompany a vocal melody. A user with no musical experience can create a song with instrumental accompaniment ju...
Ian Simon, Dan Morris, Sumit Basu
ISMIR
2004
Springer
132views Music» more  ISMIR 2004»
15 years 4 months ago
Classification of musical genre: a machine learning approach
In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The stu...
Roberto Basili, Alfredo Serafini, Armando Stellato
TASLP
2002
124views more  TASLP 2002»
14 years 10 months ago
Automatic speech recognition performance on a voicemail transcription task
Abstract--In this paper, we report on the performance of automatic speech recognition (ASR) systems on voicemail transcription. Voicemail is spontaneous telephone speech recorded o...
Mukund Padmanabhan, George Saon, Jing Huang, Brian...