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» Canonical state models for automatic speech recognition
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ICASSP
2010
IEEE
14 years 8 months ago
A comparison of approaches for modeling prosodic features in speaker recognition
Prosodic information has been successfully used for speaker recognition for more than a decade. The best-performing prosodic system to date has been one based on features extracte...
Luciana Ferrer, Nicolas Scheffer, Elizabeth Shribe...
101
Voted
TSD
2010
Springer
14 years 8 months ago
Recovery of Rare Words in Lecture Speech
The vocabulary used in speech usually consists of two types of words: a limited set of common words, shared across multiple documents, and a virtually unlimited set of rare words, ...
Stefan Kombrink, Mirko Hannemann, Lukas Burget, Hy...
83
Voted
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Automatic Semantic Annotation of Images using Spatial Hidden Markov Model
This paper presents a new spatial-HMM(SHMM)for automatically classifying and annotating natural images. Our model is a 2D generalization of the traditional HMM in the sense that b...
Feiyang Yu, Horace Ho-Shing Ip
72
Voted
ICPR
2006
IEEE
15 years 10 months ago
Multi-lingual Phoneme Recognition and Language Identification Using Phonotactic Information
Previous research indicates that automatic language identification systems based on phonotactic information produce the best results compared with other systems based on acoustic ...
Eliathamby Ambikairajah, Eric H. C. Choi, Liang Wa...
NAACL
2010
14 years 7 months ago
Investigations into the Crandem Approach to Word Recognition
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
Rohit Prabhavalkar, Preethi Jyothi, William Hartma...