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ICASSP
2011
IEEE
12 years 9 months ago
Informative dialect recognition using context-dependent pronunciation modeling
We propose an informative dialect recognition system that learns phonetic transformation rules, and uses them to identify dialects. A hidden Markov model is used to align referenc...
Nancy F. Chen, Wade Shen, Joseph P. Campbell, Pedr...
JCST
2006
99views more  JCST 2006»
13 years 5 months ago
A Dialectal Chinese Speech Recognition Framework
Abstract A framework for dialectal Chinese speech recognition is proposed and studied, in which a relatively small dialectal Chinese (or in other words Chinese influenced by the na...
Jing Li, Thomas Zheng, William Byrne, Daniel Juraf...
ICMCS
2009
IEEE
159views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Acoustic modeling using an extended phone set considering cross-lingual pronunciation variations
To deal with the issue of data unbalanced condition among a task of multilingual speech recognition and a phenomenon of pronunciation variations across languages, we propose an ap...
Dau-Cheng Lyu, Ren-Yuan Lyu, Ming-Tat Ko
ICASSP
2011
IEEE
12 years 9 months ago
Forensically inspired approaches to automatic speaker recognition
This paper presents ongoing research leveraging forensic methods for automatic speaker recognition. Some of the methods forensic scientists employ include identifying speaker dist...
Kyu J. Han, Mohamed Kamal Omar, Jason W. Pelecanos...
CONTEXT
2005
Springer
13 years 11 months ago
A Quantitative Categorization of Phonemic Dialect Features in Context
We test a method of clustering dialects of English according to patterns of shared phonological features. Previous linguistic research has generally considered phonological feature...
Naomi Nagy, Xiaoli Zhang, George Nagy, Edgar W. Sc...