ProtoLOGOS, system for Romanian language automatic speech recognition and understanding (ASRU)

机译：Protologo，罗马尼亚语系统自动语音识别和理解（ASRU）

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The ProtoLOGOS Romanian language automatic speech recognition and understanding system is based at the level of acoustical modeling on the statistical framework of hidden Markov models and at the linguistic level on a finite state grammar or a bigram language model. The system enhanced the speech signal modeling by using for the first time the PLP (Perceptual Linear Prediction) features in a Romanian language recognition system. The main performance indicator for our system is the phrase recognition rate. This paper presents the main results obtained using the two language models already mentioned and the METEO database, constituted by broadcasted forecast news records.

机译：ProtologoS罗马尼亚语言自动语音识别和理解系统是基于隐马尔可夫模型的统计框架和在有限状态语法或大型语言模型上的语言级别的声学建模的水平。通过在罗马尼亚语言识别系统中首次使用PLP（感知线性预测）特征来增强语音信号建模。我们系统的主要性能指标是短语识别率。本文介绍了使用已提及的两种语言模型获得的主要结果，并由广播预测新闻记录构成的Meteo数据库。

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《Conference on Speech Technology and Human-Computer Dialogue》|2009年||共9页
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中图分类电声技术和语音信号处理;
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hidden Markov models; natural language processing; speech recognition; statistical analysis; Romanian language automatic speech recognition; acoustical modeling; bigram language model; finite state grammar; hidden Markov model; perceptual linear prediction; phrase recognition rate; speech signal modeling; statistical framework; CDHMM; HMM; Romanian language; SCHMM; language model; monophones; speech understanding; triphones;

机译：隐马尔可夫模型;自然语言处理;语音识别;统计分析;罗马尼亚语自动语音识别;声学建模;Bigram语言模型;有限状态语法;隐藏的马尔可夫模型;感知线性预测;语音识别率;语音识别率;统计框架;统计框架;统计框架;统计框架;统计框架;统计框架;统计框架;CDHMM;嗯;罗马尼亚语言;施曼;语言模型;纯粹;言语理解;Triphones;

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机译：用于自动语音识别（ASR）系统的Marathi语言语音数据库开发的回顾
2. Automatic Speech Recognition System for Tonal Languages: State-of-the-Art Survey [J] . Kaur Jaspreet, Singh Amitoj, Kadyan Virender Archives of Computational Methods in Engineering . 2021,第3期

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3. Note from the editor: 'Expositions of Romanian scientists on the design of text-to-speech synthesis and natural language understanding and generation systems' [J] . Amy Neustein International journal of speech technology . 2009,第2a3期

机译：编辑的注解：“罗马尼亚科学家关于文本到语音合成以及自然语言理解和生成系统的设计博览会”
4. ProtoLOGOS, system for Romanian language automatic speech recognition and understanding (ASRU) [C] . Militaru D., Gavat I., Dumitru O., Speech Technology and Human-Computer Dialogue, 2009. SpeD '09 . 2009

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5. A multimodal fusion approach for automatic postal address recognition system using Optical Character Recognition (OCR) and Automatic Speech Recognition (ASR) techniques. [D] . Singh, Amriteshwar. 2011

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6. Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study [O] . Dongkyun Kim, Jaehoon Oh, Heeju Im, 2021

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7. Improving Automatic Speech Recognition Robustness for the Romanian Language [O] . Burileanu Corneliu, Buzo Andi, Cucu Horia 2011

机译：改进罗马尼亚语言的自动语音识别鲁棒性

ProtoLOGOS, system for Romanian language automatic speech recognition and understanding (ASRU)

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