Výsledky vyhľadávania - "mandarin pronunciation"
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1
Autori:
Zdroj: Journal of Academia, Vol 13, Iss 1, Pp 82-93 (2025)
Predmety: non-native mandarin learners, learningstrategies, Science, gender, Social Sciences, mandarin pronunciation, mandarin as foreign language learning
Prístupová URL adresa: https://doaj.org/article/eea39066295844dbab759f6650ee97eb
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2
Autori: 張金蘭 Ching-Lan Chang
Zdroj: Shizi Peiyu Yu Jiaoshi Zhuanye Fazhan Qikan, Vol 17, Iss 2, Pp 1-24 (2024)
Predmety: 國小師資生, 國音及說話, 國語發音, 華語口語與表達, elementary pre-service teachers, chinese phonology and speech, mandarin pronunciation, mandarin oral proficiency and expression, Education, Education (General), L7-991
Popis súboru: electronic resource
Relation: http://www.journals.com.tw/jtepd/upload/journal/prog/17-2%20%2001%20%E5%BC%B5%E9%87%91%E8%98%AD.pdf; https://doaj.org/toc/2071-3649
Prístupová URL adresa: https://doaj.org/article/3d3b8dd6c6cb40b3943cf43841840b4e
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3
Autori: a ďalší
Zdroj: Front Neurosci
Frontiers in Neuroscience, Vol 18 (2024)Predmety: 03 medical and health sciences, 0302 clinical medicine, Mandarin pronunciation multifeature paradigm, bimodal stimulation, unilateral cochlear implantation, Neurosciences. Biological psychiatry. Neuropsychiatry, source localization analysis, bilateral cochlear implantation, RC321-571, Neuroscience
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4
Autori: a ďalší
Zdroj: Front Neurosci
Frontiers in Neuroscience, Vol 17 (2024)Predmety: 03 medical and health sciences, 0302 clinical medicine, Mandarin pronunciation multifeature paradigm, 05 social sciences, Neurosciences. Biological psychiatry. Neuropsychiatry, 0501 psychology and cognitive sciences, time domain analysis, event-related potentials, source localization analysis, Mandarin Chinese speech perception, RC321-571, Neuroscience
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5
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
6
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
7
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
8
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
9
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
10
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
11
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
12
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
13
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
14
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
15
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
16
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
17
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
18
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
19
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison -
20
Autori: a ďalší
Predmety: Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, word error rate, stateless pred network, reduce parameter count, phonemes recognition method, method performs excellently, improve recognition accuracy, gelu activation function, experimental results demonstrate, determining mispronounced phonemes, artificial intelligence technologies, mandarin pronunciation based, phoneme recognition task, mandarin phoneme recognition, optimizing recognition performance, modeling , zipformer block architecture, hybrid pruned rnn, pronunciation evaluation, zipformer encoder, improved zipformer, phoneme sequences, phoneme datasets, phoneme dataset,
%22">xlink ">, three layers, sequence comparison
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