Personne
Hamed Ketabdar
Cette personne n’est plus à l’EPFL
Publications associées (15)
Enhanced Phone Posteriors for Improving Speech Recognition Systems
Hervé Bourlard, Hamed Ketabdar
Using phone posterior probabilities has been increasingly explored for improving automatic speech recognition (ASR) systems. In this paper, we propose two approaches for hierarchically enhancing these phone posteriors, by integrating long acoustic context, ...
2010Enhancing posterior based speech recognition systems
The use of local phoneme posterior probabilities has been increasingly explored for improving speech recognition systems. Hybrid hidden Markov model / artificial neural network (HMM/ANN) and Tandem are the most successful examples of such systems. In this ...
EPFL2008Enhancing posterior based speech recognition systems
The use of local phoneme posterior probabilities has been increasingly explored for improving speech recognition systems. Hybrid hidden Markov model / artificial neural network (HMM/ANN) and Tandem are the most successful examples of such systems. In this ...
Ecole Polytechnique Fédérale de Lausanne2008Enhanced Phone Posteriors for Improving Speech Recognition Systems
Hervé Bourlard, Hamed Ketabdar
Using phone posterior probabilities has been increasingly explored for improving automatic speech recognition (ASR) systems. In this paper, we propose two approaches for hierarchically enhancing these phone posteriors, by integrating long acoustic context, ...
IDIAP2008Hierarchical Integration of Phonetic and Lexical Knowledge in Phone Posterior Estimation
Hervé Bourlard, Hamed Ketabdar
Phone posteriors has recently quite often used (as additional features or as local scores) to improve state-of-the-art automatic speech recognition (ASR) systems. Usually, better phone posterior estimates yield better ASR performance. In the present paper ...
2008In-Context Phone Posteriors as Complementary Features for Tandem ASR
Hervé Bourlard, Hamed Ketabdar
In this paper, we present a method for integrating possible prior knowledge (such as phonetic and lexical knowledge), as well as acoustic context (e.g., the whole utterance) in the phone posterior estimation, and we propose to use the obtained posteriors a ...
2008Using 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 ...
2006Posterior Based Keyword Spotting with A Priori Thresholds
Hervé Bourlard, Samy Bengio, Hamed Ketabdar
In this paper, we propose a new posterior based scoring approach for keyword and non keyword (garbage) elements. The estimation of these scores is based on HMM state posterior probability definition, taking into account long contextual information and the ...
2006Posterior Based Keyword Spotting with A Priori Thresholds
Hervé Bourlard, Samy Bengio, Hamed Ketabdar
In this paper, we propose a new posterior based scoring approach for keyword and non keyword (garbage) elements. The estimation of these scores is based on HMM state posterior probability definition, taking into account long contextual information and the ...
IDIAP2006Identifying unexpected words using in-context and out-of-context phoneme posteriors
Hynek Hermansky, Hamed Ketabdar
The paper proposes and discusses a machine approach for identification of unexpected (zero or low probability) words. The approach is based on use of two parallel recognition channels, one channel employing sensory information from the speech signal togeth ...
IDIAP2006