Jörg Rottland

Tied-Posteriors: A New Hybrid Speech Recognition Technology with Generic Capabilities and High Portability (2007)

Jan Stadermann, Jörg Rottland, J Org Rottl, Gerhard Rigoll

This paper presents a new method for estimating the emission probabilities of general hybrid connectionist/HMM recognition systems. Contrary to the traditional hybrid approach, where a neural network...

Efficient Computation Of MMI Neural Networks For Large Vocabulary Speech Recognition Systems (2007)

Jörg Rottland, J Org Rottl, André Lüdecke, Gerhard Rigoll

This paper describes, how to train Maximum Mutual Information Neural Networks (MMINN) in an efficient way, with a new topology. Large vocabulary speech recognition systems, based on a Hybrid...

Confidence Measures for an Address Reading System (2003)

Anja Brakensiek, Jörg Rottland, Gerhard Rigoll

In this paper the performance of different confidence measures used for an address recognition system are evaluated. The recognition system for cursive handwritten German address words is based on...

Speaker Adaptation Using Regularization And Network Adaptation For Hybrid MMI-NN/HMM Speech Recognition (1999)

Jörg Rottland, J Org Rottl, Christoph Neukirchen, Daniel Willett, Gerhard Rigoll

This paper describes, how to perform speaker adaptation for a hybrid large vocabulary speech recognition system. The hybrid system is based on a Maximum Mutual Information Neural Network (MMINN),...

Refining Tree-Based State Clustering by Means of Formal Concept Analysis, Balanced Decision Trees and Automatically Generated Model-Sets (1999)

Daniel Willett, Christoph Neukirchen, Jörg Rottland, J Org Rottl, Gerhard Rigoll

Decision tree-based state clustering has emerged in recent years as the most popular approach for clustering the states of context dependent hidden Markov model based speech recognizers. The...

Improved On-Line Handwriting Recognition Using Context Dependent Hidden Markov Models (1997)

Andreas Kosmala, Jörg Rottland, Gerhard Rigoll

This paper presents the introduction of context dependent Hidden Markov Models for cursive, unconstrained handwriting recognition with large vocabularies. Since context dependent models were...

Dictionary-Based Discriminative HMM Parameter Estimation For Continuous Speech Recognition Systems (1997)

Daniel Willett, Christoph Neukirchen, Jörg Rottland

The estimation of the HMM parameters has always been a major issue in the design of speech recognition systems. Discriminative objectives like Maximum Mutual Information (MMI) or Minimum...

An Investigation Of The Use Of Trigraphs For Large Vocabulary Cursive Handwriting Recognition (1997)

Andreas Kosmala, Jörg Rottland, Gerhard Rigoll

This paper presents an extensive investigation of the use of trigraphs for on-line cursive handwriting recognition based on Hidden Markov Models (HMMs). Trigraphs are context dependent HMMs...

Large Vocabulary On-Line Handwriting Recognition with Context Dependent Hidden Markov Models (1997)

Andreas Kosmala, Jörg Rottland, Gerhard Rigoll

. This paper presents a systematic investigation of the benefits resulting from the introduction of context-dependent modeling techniques in HMM-based large vocabulary handwriting recognition...

A New Hybrid System Based On MMI-Neural Networks For The RM Speech Recognition Task (1996)

Gerhard Rigoll, Christoph Neukirchen, Jörg Rottland

We present a hybrid speech recognition system for speaker independent continuous speech recognition. The system combines a novel information theory based neural network (NN) paradigm and discrete...