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ICASSP
2010
IEEE
13 years 5 months ago
Using cross-decoder phone coocurrences in phonotactic language recognition
Phonotactic language recognizers are based on the ability of phone decoders to produce phone sequences containing acoustic, phonetic and phonological information, which is partial...
Mikel Peñagarikano, Amparo Varona, Luis Jav...
ICASSP
2011
IEEE
12 years 9 months ago
A dynamic approach to the selection of high order n-grams in phonotactic language recognition
Due to computational bounds, most SVM-based phonotactic language recognition systems consider only low-order n-grams (up to n = 3), thus limiting the potential performance of this...
Mikel Peñagarikano, Amparo Varona, Luis Jav...
NAACL
2003
13 years 6 months ago
Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Shona Douglas
ICASSP
2010
IEEE
13 years 5 months ago
Tuning phone decoders for language identification
Phonotactic approach, phone recognition to be followed by language modeling, is one of the most popular approaches to language identification (LID). In this work, we explore how ...
C. P. Santhosh Kumar, Haizhou Li, Rong Tong, Pavel...
TASLP
2008
136views more  TASLP 2008»
13 years 5 months ago
On Acoustic Diversification Front-End for Spoken Language Identification
The parallel phone recognition followed by language model (PPRLM) architecture represents one of the state-of-the-art spoken language identification systems. A PPRLM system compris...
Khe Chai Sim, Haizhou Li