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» Automatic Detection of Prominent Words in Russian Speech
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ACL
2009
13 years 2 months ago
Summarizing multiple spoken documents: finding evidence from untranscribed audio
This paper presents a model for summarizing multiple untranscribed spoken documents. Without assuming the availability of transcripts, the model modifies a recently proposed unsup...
Xiaodan Zhu, Gerald Penn, Frank Rudzicz
MM
2005
ACM
146views Multimedia» more  MM 2005»
13 years 10 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
EJASMP
2010
136views more  EJASMP 2010»
12 years 12 months ago
Ageing Voices: The Effect of Changes in Voice Parameters on ASR Performance
With ageing, human voices undergo several changes which are typically characterized by increased hoarseness and changes in articulation patterns. In this study, we have examined t...
Ravichander Vipperla, Steve Renals, Joe Frankel
EMNLP
2008
13 years 6 months ago
Relative Rank Statistics for Dialog Analysis
We introduce the relative rank differential statistic which is a non-parametric approach to document and dialog analysis based on word frequency rank-statistics. We also present a...
Juan Huerta