نتایج جستجو برای: phoneme
تعداد نتایج: 4845 فیلتر نتایج به سال:
Abstract. This paper presents a stochastic segmental speech recognizer that models the a posteriori probabilities directly. The main issues concerning the system are segmental phoneme classification, utterance-level aggregation and the pruning of the search space. For phoneme classification artificial neural networks and support vector machines are applied. Phonemic segmentation and utterance-l...
In this paper a new framework for acoustic model building is presented. It is based on non-uniform segment models, which are learned and scored with a time bidirectional recurrent neural network. While usually neural networks in speech recognition systems are used to estimate posterior "frame to phoneme" probabilities, they are used here to estimate directly "segment to phoneme" probabilities, ...
Unsupervised discovery of acoustic tokens from audio corpora without annotation and learning vector representations for these tokens have been widely studied. Although these techniques have been shown successful in some applications such as query-byexample Spoken Term Detection (STD), the lack of mapping relationships between these discovered tokens and real phonemes have limited the down-strea...
In this paper a new framework for acoustic model building is presented. It is based on non-uniform segment models, which are learned and scored with a time bidirectional recurrent neural network. While usually neural networks in speech recognition systems are used to estimate posterior "frame to phoneme" probabilities, they are used here to estimate directly "segment to phoneme" probabilities, ...
This paper presents a distinctive phonetic features (DPFs) based phoneme recognition method by incorporating syllable language models (LMs). The method comprises three stages. The first stage extracts three DPF vectors of 15 dimensions each from local features (LFs) of an input speech signal using three multilayer neural networks (MLNs). The second stage incorporates an Inhibition/Enhancement (...
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