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» Investigations into the Crandem Approach to Word Recognition
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NAACL
2010
13 years 2 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...
ICASSP
2011
IEEE
12 years 8 months ago
An investigation of subspace modeling for phonetic and speaker variability in automatic speech recognition
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
Richard C. Rose, Shou-Chun Yin, Yun Tang
INTERSPEECH
2010
12 years 11 months ago
On the relation of Bayes risk, word error, and word posteriors in ASR
In automatic speech recognition, we are faced with a wellknown inconsistency: Bayes decision rule is usually used to minimize sentence (word sequence) error, whereas in practice w...
Ralf Schlüter, Markus Nußbaum-Thom, Her...
ICDAR
2009
IEEE
13 years 2 months ago
Handling Out-of-Vocabulary Words and Recognition Errors Based on Word Linguistic Context for Handwritten Sentence Recognition
In this paper we investigate the use of linguistic information given by language models to deal with word recognition errors on handwritten sentences. We focus especially on error...
Solen Quiniou, Mohamed Cheriet, Éric Anquet...
INTERSPEECH
2010
12 years 11 months ago
Efficient combined approach for named entity recognition in spoken language
We focus in this paper on the named entity recognition task in spoken data. The proposed approach investigates the use of various contexts of the words to improve recognition. Exp...
Azeddine Zidouni, Sophie Rosset, Hervé Glot...