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» A Bootstrap Method for Training an Accurate Audio Segmenter
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ICMCS
2010
IEEE
212views Multimedia» more  ICMCS 2010»
13 years 6 months ago
Homogeneous segmentation and classifier ensemble for audio tag annotation and retrieval
Audio tags describe different types of musical information such as genre, mood, and instrument. This paper aims to automatically annotate audio clips with tags and retrieve releva...
Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang
IVA
2010
Springer
13 years 3 months ago
Using Virtual Humans to Bootstrap the Creation of Other Virtual Humans
Virtual human (VH) experiences are increasingly used for training interpersonal skills such as military leadership, classroom education, and doctor-patient interviews. These divers...
Brent Rossen, Juan Cendan, Benjamin Lok
ICASSP
2009
IEEE
14 years 1 days ago
Detecting bandlimited audio in broadcast television shows
For TV and radio shows containing narrowband speech, Speech-to-text (STT) accuracy on the narrowband audio can be improved by using an acoustic model trained on acoustically match...
Mark C. Fuhs, Qin Jin, Tanja Schultz
ACL
2001
13 years 6 months ago
A Statistical Model for Domain-Independent Text Segmentation
We propose a statistical method that finds the maximum-probability segmentation of a given text. This method does not require training data because it estimates probabilities from...
Masao Utiyama, Hitoshi Isahara
ACL
2008
13 years 6 months ago
Lexicalized Phonotactic Word Segmentation
This paper presents a new unsupervised algorithm (WordEnds) for inferring word boundaries from transcribed adult conversations. Phone ngrams before and after observed pauses are u...
Margaret M. Fleck