Concept
Part-of-speech tagging
Related publications (63)
Using more informative posterior probabilities for speech recognition
Hervé Bourlard, Samy Bengio, Hamed Ketabdar
In this paper, we present initial investigations towards boosting posterior probability based speech recognition systems by estimating more informative posteriors taking into account acoustic context (e.g., the whole utterance), as well as possible prior i ...
IDIAP2005Developing and Enhancing Posterior Based Speech Recognition Systems
Hervé Bourlard, Samy Bengio, Hamed Ketabdar
Local state or phone posterior probabilities are often investigated as local scores (e.g., hybrid HMM/ANN systems) or as transformed acoustic features (e.g., ``Tandem'') to improve speech recogni tion systems. In this paper, we present initial results towa ...
2005Developing and Enhancing Posterior Based Speech Recognition Systems
Hervé Bourlard, Samy Bengio, Hamed Ketabdar
Local state or phone posterior probabilities are often investigated as local scores (e.g., hybrid HMM/ANN systems) or as transformed acoustic features (e.g., ``Tandem'') to improve speech recogni tion systems. In this paper, we present initial results towa ...
IDIAP2005Robust Speech Recognition and Feature Extraction Using HMM2
Hervé Bourlard, Samy Bengio, Katrin Weber, Shajith Ikbal
This paper presents the theoretical basis and preliminary experimental results of a new HMM model, referred to as HMM2, which can be considered as a mixture of HMMs. In this new model, the emission probabilities of the temporal (primary) HMM are estimated ...
2003Modeling sequencing errors by combining Hidden Markov models
Among the largest resources for biological sequence data is the large amount of expressed sequence tags (ESTs) available in public and proprietary databases. ESTs provide information on transcripts but for technical reasons they often contain sequencing er ...
2003A Pragmatic View of the Application of HMM2 for ASR
Hervé Bourlard, Samy Bengio, Katrin Weber
This report investigates the HMM2 approach recently introduced in the framework of automatic speech recognition. HMM2 can be seen as a mixture of HMMs, where a conventional primary HMM (processing a time series of speech data) is supported on a lower level ...
IDIAP2001