【摘要】：語(yǔ)音識(shí)別技術(shù)是實(shí)現(xiàn)計(jì)算機(jī)與人之間進(jìn)行語(yǔ)言交流的關(guān)鍵技術(shù)之一,語(yǔ)音識(shí)別技術(shù)在交互方面具有極高的應(yīng)用價(jià)值。隨著關(guān)鍵詞檢測(cè)、語(yǔ)音合成、聲紋識(shí)別等技術(shù)的進(jìn)步,人們對(duì)語(yǔ)音技術(shù)的需求逐漸加深,語(yǔ)音識(shí)別產(chǎn)品正在走進(jìn)我們的工作生活,逐漸深入到各個(gè)領(lǐng)域。 本文主要是對(duì)漢語(yǔ)語(yǔ)音識(shí)別系統(tǒng)中關(guān)鍵詞技術(shù)進(jìn)行研究,通過兩類不同的實(shí)際應(yīng)用場(chǎng)景對(duì)關(guān)鍵詞檢測(cè)技術(shù)進(jìn)行驗(yàn)證,主要的工作成果如下： 1、針對(duì)智能電話客服的應(yīng)用深入研究了基于垃圾模型(Garbage Model)關(guān)鍵詞檢測(cè)技術(shù)。完成了端點(diǎn)檢測(cè)技術(shù)的改進(jìn)、垃圾語(yǔ)料建模選取、以及確定垃圾模型和關(guān)鍵詞模型網(wǎng)絡(luò)權(quán)重值,再此基礎(chǔ)上與人合作實(shí)現(xiàn)了關(guān)鍵詞檢測(cè)引擎,通過對(duì)接國(guó)內(nèi)某電腦生產(chǎn)商維修預(yù)約客服電話系統(tǒng),實(shí)現(xiàn)對(duì)關(guān)鍵詞檢測(cè)技術(shù)的驗(yàn)證,該系統(tǒng)中典型的關(guān)鍵詞有硬盤問題、開機(jī)故障、系統(tǒng)崩潰等。通過話術(shù)引導(dǎo)、合理增加關(guān)鍵詞長(zhǎng)度或者合并關(guān)鍵詞顯著提高關(guān)鍵詞檢出率。 2、面向語(yǔ)音文檔檢索應(yīng)用需求,系統(tǒng)研究了基于音節(jié)網(wǎng)絡(luò)(Syllable)的關(guān)鍵詞檢測(cè)技術(shù),完成了對(duì)保險(xiǎn)業(yè)和旅游業(yè)的的聲學(xué)模型的訓(xùn)練,引入語(yǔ)言學(xué)知識(shí)提高關(guān)鍵詞識(shí)別效果。借助保險(xiǎn)業(yè)和旅游業(yè)的客服錄音記錄進(jìn)行測(cè)試表明：可依據(jù)預(yù)先設(shè)定的關(guān)鍵詞實(shí)現(xiàn)語(yǔ)音文檔檢索功能。
[Abstract]:Speech recognition technology is one of the key technologies to realize the language communication between computers and people. Speech recognition technology has a high application value in the aspect of interaction. With the development of key word detection, speech synthesis, voiceprint recognition and other technologies, the demand for speech technology is deepening. Speech recognition products are coming into our work and life, and gradually into every field. This paper mainly studies the keyword technology in the Chinese speech recognition system, and verifies the keyword detection technology through two different kinds of practical application scenes. The main work results are as follows: 1. Aiming at the application of smart phone customer service, the (Garbage Model) keyword detection technology based on garbage model is studied. The improvement of endpoint detection technology, the selection of garbage corpus modeling, and the determination of network weights of garbage model and keyword model are completed. On this basis, the keyword detection engine is implemented in cooperation with people. By docking a domestic computer manufacturer's maintenance reservation customer service telephone system, the key words in the system can be verified. The typical keywords in the system are hard disk problem, boot failure, system collapse and so on. Through the guidance of words, the reasonable increase of keyword length or the combination of keywords significantly improve the detection rate of keywords. 2. In order to meet the requirement of speech document retrieval, the keyword detection technology based on syllable network (Syllable) is studied systematically. The acoustic model of insurance industry and tourism industry is trained, and linguistic knowledge is introduced to improve the effect of keyword recognition. With the help of customer service recording of insurance industry and tourism industry, it is shown that voice document retrieval can be realized according to predefined keywords.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN912.34

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