Acoustic Models for Speech Recognition
نویسندگان
چکیده
منابع مشابه
Dynamically configurable acoustic models for speech recognition
Senones were introduced to share Hidden Markov model (HMM) parameters at a sub-phonetic level in [3] and decision trees were incorporated to predict unseen phonetic contexts in [4]. In this paper, we will describe two applications of the senonic decision tree in (1) dynamically downsizing a speech recognition system for small platforms and in (2) sharing the Gaussian covariances of continuous d...
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Acoustic models for speech recognition are often trained on data coming from a variety of sources. The usual approach is to pool together all of the available training data, considering them all to be part of a unique training set. In this work, assuming that each source may have a different degree of relevance for a given target task, two techniques are proposed to weigh subsets of the trainin...
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Senones were introduced to share Hidden Markov model (HMM) parameters at a sub-phonetic level in [3] and decision trees were incorporated to predict unseen phonetic contexts in [4]. In this paper, we will describe two applications of the senonic decision tree in (1) dynamically downsizing a speech recognition system for small platforms and in (2) sharing the Gaussian covariances of continuous d...
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Speech recognition applications are known to require a significant amount of resources. However, embedded speech recognition only authorizes few KB of memory, few MIPS and small a amount of training data. In order to fit the resource constraints of embedded applications, an approach based on a semi-continuous HMM system using stateindependent acoustic modelling is proposed. A transformation is ...
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This thesis examines techniques to improve the robustness of automatic speech recognition (ASR) systems against noise distortions. The study is important as the performance of ASR systems degrades dramatically in adverse environments, and hence greatly limits the speech recognition application deployment in realistic environments. Towards this end, we examine a feature compensation approach and...
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ژورنال
عنوان ژورنال: Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
سال: 1998
ISSN: 2188-4730,2188-4749
DOI: 10.5687/sss.1998.139