Results 21 to 30 of about 1,501,555 (284)
A Rule-Based Grapheme-to-Phoneme Conversion System
Applied Sciences, 2022 This article presents a rule-based grapheme-to-phoneme conversion method and algorithm for Polish. It should be noted that the fundamental grapheme-to-phoneme conversion rules have been developed by Maria Steffen-Batóg and presented in her set of ...
Piotr Kłosowski
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Recognition of phonemes and words in singing [PDF]
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010 This paper studies the influence of n-gram language models in the recognition of sung phonemes and words. We train uni-, bi-, and trigram language models for phonemes and bi- and trigrams for words. The word-level language model is estimated from a textual lyrics database.
Annamaria Mesaros, Tuomas Virtanen
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Sensors, 2021 The presented paper is concerned with detection of presentation attacks against unsupervised remote biometric speaker verification, using a well-known challenge–response scheme.
Kacper Kubicki +2 more
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The Role of the Root in Spoken Word Recognition in Hebrew: An Auditory Gating Paradigm
Brain Sciences, 2022 Very few studies have investigated online spoken word recognition in templatic languages. In this study, we investigated both lexical (neighborhood density and frequency) and morphological (role of root morpheme) aspects of spoken word recognition of ...
Marina Oganyan, Richard A. Wright
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IEEE Access, 2020 Distinctive phonetic features have an important role in Arabic speech phoneme recognition. In a given language, distinctive phonetic features are extrapolated from acoustic features using different methods.
Ahmed B. Ibrahim +7 more
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Deep Learning Based Automatic Speech Recognition for Turkish
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2020 Using Deep Neural Networks (DNN) as an advanced Artificial Neural Networks (ANN) has become widespread with the development of computer technology. Although DNN has been applied for solving Automatic Speech Recognition (ASR) problem in some languages ...
Hamit Erdem, Burak Tombaloğlu
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Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State Transducers
IEEE Access, 2022 In this article we present the design and the development of a knowledge based computational linguistic tool, Mlphon for Malayalam language. Mlphon computationally models linguistic rules using finite state transducers and performs multiple functions ...
Kavya Manohar, A. R. Jayan, Rajeev Rajan
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The recognition of persian phonemes using PPNet
Journal of Medical Signals & Sensors, 2020 In this paper, a novel approach is proposed for the recognition of Persian phonemes in the Persian Consonant-Vowel Combination (PCVC) speech dataset. Nowadays, deep neural networks play a crucial role in classification tasks. However, the best results in speech recognition are not yet as perfect as human recognition rate.
Saber Malekzadeh +3 more
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Articulatory feature recognition using dynamic Bayesian networks [PDF]
, 2007 We describe a dynamic Bayesian network for articulatory feature recognition. The model is intended to be a component of a speech recognizer that avoids the problems of conventional ``beads-on-a-string'' phoneme-based models. We demonstrate that the model
Simon King +8 more
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SVMs for Automatic Speech Recognition: a Survey [PDF]
, 2007 Hidden Markov Models (HMMs) are, undoubtedly, the most employed core technique for Automatic Speech Recognition (ASR). Nevertheless, we are still far from achieving high-performance ASR systems.
Peláez-Moreno, Carmen +8 more
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