A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition

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A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition

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A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-study-on-selecting-acoustic-modeling-units-in-deep-neural-networks-based-large-vocabulary-chinese-speech-r
MLA “A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-study-on-selecting-acoustic-modeling-units-in-deep-neural-networks-based-large-vocabulary-chinese-speech-r.
BibTeX @misc{4ortxyz_a-comparative-study-on-selecting-acoustic-modeling-units-in-deep-neural-networks-based-large-vocabulary-chinese-speech-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-study-on-selecting-acoustic-modeling-units-in-deep-neural-networks-based-large-vocabulary-chinese-speech-r}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition — https://4ort.xyz/entity/a-comparative-study-on-selecting-acoustic-modeling-units-in-deep-neural-networks-based-large-vocabulary-chinese-speech-r (retrieved 2026-05-24)

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