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» The limits of speech recognition
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ICASSP
2009
IEEE
14 years 5 months ago
Language model transformation applied to lightly supervised training of acoustic model for congress meetings
For effective training of acoustic and language models for spontaneous speech such as meetings, it is significant to exploit the texts available in a large scale, which may not b...
Tatsuya Kawahara, Masato Mimura, Yuka Akita
ICASSP
2008
IEEE
14 years 4 months ago
Portuguese variety identification on broadcast news
This paper describes an accent identification system for Portuguese, that explores different type of properties: acoustic, phonotactic and prosodic. The system is designed to be ...
Jean-Luc Rouas, Isabel Trancoso, Céu Viana,...
ICMCS
2006
IEEE
148views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Acoustically-Driven Talking Face Synthesis using Dynamic Bayesian Networks
Dynamic Bayesian Networks (DBNs) have been widely studied in multi-modal speech recognition applications. Here, we introduce DBNs into an acoustically-driven talking face synthesi...
Jianxia Xue, Jonas Borgstrom, Jintao Jiang, Lynne ...
CICLING
2003
Springer
14 years 3 months ago
Experiments with Linguistic Categories for Language Model Optimization
In this work1 we obtain robust category-based language models to be integrated into speech recognition systems. Deductive rules are used to select linguistic categories and to matc...
Arantza Casillas, Amparo Varona, Inés Torre...
IJCNN
2000
IEEE
14 years 1 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo