Hierarchical Phoneme Classification for Improved Speech Recognition
Applied Sciences, 2021 Speech recognition consists of converting input sound into a sequence of phonemes, then finding text for the input using language models. Therefore, phoneme classification performance is a critical factor for the successful implementation of a speech ...
Donghoon Oh +3 more
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Relative Contributions of Spectral and Temporal Cues to Korean Phoneme Recognition. [PDF]
PLoS ONE, 2015 This study was aimed to evaluate the relative contributions of spectral and temporal information to Korean phoneme recognition and to compare them with those to English phoneme recognition.
Bong Jik Kim +4 more
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Towards Deep Object Detection Techniques for Phoneme Recognition
IEEE Access, 2020 The use of cutting edge object detection techniques to build an accurate phoneme sequence recognition system for English and Arabic languages is investigated in this study.
Mohammed Algabri +4 more
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Adaptive Phoneme State Learning Architecture for Enhanced Speech Recognition Using Backpropagation Neural Network and Hidden Markov Model [version 2; peer review: 2 approved, 1 not approved] [PDF]
F1000ResearchSpeech remains a primary mode of human communication; however, automated speech recognition (ASR) systems face challenges from accent variability, temporal fluctuations, noise, and data privacy concerns.
Kalpana P +8 more
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Phonological awareness in Urdu language speaking children with down syndrome (DS). [PDF]
PLoS ONEIntroductionPhonological awareness (PA) is a vital part of literacy development. With dearth of evidence on phonological processing among Urdu-speaking children with down syndrome (DS), current study was conducted to determine the association between ...
Maimoona Khalil +3 more
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A study on phonemes recognition method for Mandarin pronunciation based on improved Zipformer-RNN-T(Pruned) modeling. [PDF]
PLoS ONEIn recent years, empowered by artificial intelligence technologies, computer-assisted language learning systems have gradually become a hot topic of research.
Zhaohui Du +4 more
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Auditory ERB like admissible wavelet packet features for TIMIT phoneme recognition
Engineering Science and Technology, an International Journal, 2014 In recent years wavelet transform has been found to be an effective tool for time–frequency analysis. Wavelet transform has been used as feature extraction in speech recognition applications and it has proved to be an effective technique for unvoiced ...
P.K. Sahu +3 more
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Persian Phoneme and Syllable Recognition using Recurrent Neural Networks for Phonological Awareness Assessment [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 One of the main problems in children with learning difficulties is the weakness of phonological awareness (PA) skills. In this regard, PA tests are used to evaluate this skill. Currently, this assessment is paper-based for the Persian language.
M. Khanzadi +3 more
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Speech Recognition in Noise: Analyzing Phoneme, Syllable, and Word-Based Scoring Methods and Their Interaction with Hearing Loss [PDF]
DiagnosticsIntroduction: This study aimed to compare different scoring methods, such as phoneme, syllable, and word-based scoring, during word recognition in noise testing and their interaction with hearing loss severity. These scoring methods provided a structured
Saransh Jain +6 more
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Application of Word2vec in Phoneme Recognition [PDF]
Proceedings of the 2020 12th International Conference on Machine Learning and Computing, 2020 In this paper, we present how to hybridize a Word2vec model and an attention-based end-to-end speech recognition model. We build a phoneme recognition system based on Listen, Attend and Spell model. And the phoneme recognition model uses a word2vec model to initialize the embedding matrix for the improvement of the performance, which can increase the ...
Xin Feng, Lei Wang
openaire +4 more sources