An Interactive Open-Vocabulary Chinese Name Input System Using Syllable Spelling and Character Description Recognition Modules for Error Correction

Wang, Nick Jui Chang

doi:10.1093/ietisy/e90-d.11.1796

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…For example, A. Sethy obtained 75% of recognition rate of english spoken names [15]. N. Wang obtained 86.7% of recognition rate of open-vocabulary Chinese name input system using syllables [16].…”

Section: Automatic Recognition Of Arabic Speechmentioning

confidence: 99%

Syllable-based automatic arabic speech recognition in noisy enviroment

Azmi

Tolba

2008

2008 International Conference on Audio, Language and Image Processing

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In this paper, syllables are proposed to be used as acoustic units to improve the performance of automatic speech recognition (ASR) systems of Arabic spoken proverbs in noisy environments. To test our proposed approach, a speaker-independent HMM-based speech recognition system was designed using Hidden Markov Model Toolkit (HTK). A series of experiments on noisy speech has been carried out using an Arabic database that consists of fifty-nine Egyptian speakers. The obtained results show that the recognition rate using syllables outperformed the rate obtained using monophones and triphones by 20.88 % and 15.82 %, respectively. The use of syllables did not only improve the performance of the ASR process in noisy environments, but also it limited the complexity of the computation (and consequently the running time) of the recognition process. Also, we show in this paper that the integration of a pre-processing enhancement technique in the front-end of the syllable-based ASR engine leads to an improvement of the recognition rate by 20.88 % and 15.82 %, compared to the rates obtained using monophones and triphone-based ASR, respectively.

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Section: Automatic Recognition Of Arabic Speechmentioning

confidence: 99%

Syllable-based automatic arabic speech recognition in noisy enviroment

Azmi

Tolba

2008

2008 International Conference on Audio, Language and Image Processing

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“…(3) Knowledge-rich relevancy: To avoid the ambiguities of speech, users usually introduce a piece of knowledge along with informing the slot values (Tsai et al, 2005;Wang, 2007). For example, the knowledge, "明天的明" is used to disambiguate character "明" (It is the similar case when English speakers say "A as in Alpha" in phone calls).…”

Section: Introductionmentioning

confidence: 99%

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots

Zhang¹,

Hu²,

Wu³

et al. 2022

Findings of the Association for Computational Linguistics: ACL 2022

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A slot value might be provided segment by segment over multiple-turn interactions in a dialog, especially for some important information such as phone numbers and names. It is a common phenomenon in daily life, but little attention has been paid to it in previous work. To fill the gap, this paper defines a new task named Sub-Slot based Task-Oriented Dialog (SSTOD) and builds a Chinese dialog dataset SSD for boosting research on SSTOD. The dataset includes a total of 40K dialogs and 500K utterances from four different domains: Chinese names, phone numbers, ID numbers and license plate numbers. The data is well annotated with sub-slot values, slot values, dialog states and actions. We find some new linguistic phenomena and interactive manners in SSTOD which raise critical challenges of building dialog agents for the task. We test three state-of-the-art dialog models on SSTOD and find they cannot handle the task well on any of the four domains. We also investigate an improved model by involving slot knowledge in a plug-in manner. More work should be done to meet the new challenges raised from SSTOD which widely exists in real-life applications. The dataset and code are publicly available via https://github.com/shunjiu/SSTOD.

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Section: Introductionmentioning

confidence: 99%

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots

Zhang,

Hu,

et al. 2022

Preprint

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A slot value might be provided segment by segment over multiple-turn interactions in a dialog, especially for some important information such as phone numbers and names. It is a common phenomenon in daily life, but little attention has been paid to it in previous work. To fill the gap, this paper defines a new task named Sub-Slot based Task-Oriented Dialog (SSTOD) and builds a Chinese dialog dataset SSD for boosting research on SSTOD. The dataset includes a total of 40K dialogs and 500K utterances from four different domains: Chinese names, phone numbers, ID numbers and license plate numbers. The data is well annotated with sub-slot values, slot values, dialog states and actions. We find some new linguistic phenomena and interactive manners in SSTOD which raise critical challenges of building dialog agents for the task. We test three state-of-the-art dialog models on SSTOD and find they cannot handle the task well on any of the four domains. We also investigate an improved model by involving slot knowledge in a plugin manner. More work should be done to meet the new challenges raised from SSTOD which widely exists in real-life applications. The dataset and code are publicly available via https://github.com/shunjiu/SSTOD.

show abstract

An Interactive Open-Vocabulary Chinese Name Input System Using Syllable Spelling and Character Description Recognition Modules for Error Correction

Cited by 5 publications

References 15 publications

Syllable-based automatic arabic speech recognition in noisy enviroment

Syllable-based automatic arabic speech recognition in noisy enviroment

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots

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