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Dissertations / Theses on the topic 'Keyword spotting'

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Published: 4 June 2021

Last updated: 25 July 2025

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1

Skácel, Miroslav. "Query-by-Example Keyword Spotting." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234939.

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Tato diplomová práce se zabývá moderními přístupy detekce klíčových slov a detekce frází v řečových datech. V úvodní části je seznámení s problematikou a teoretický popis metod pro detekci. Následuje popis reprezentace vstupních datových sad použitých při experimentech a evaluaci. Dále jsou uvedeny metody pro detekci klíčových slov definovaných vzorem. Následně jsou popsány evaluační metody a techniky použité pro skórování. Po provedení experimentů na datových sadách a po evaluaci jsou diskutovány výsledky. V dalším kroku jsou navrženy a poté implementovány moderní postupy vedoucí k vylepšení

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2

Sunde, Valfridsson Jonas. "Query By Example Keyword Spotting." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299743.

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Voice user interfaces have been growing in popularity and with them an interest for open vocabulary keyword spotting. In this thesis we focus on one particular approach to open vocabulary keyword spotting, query by example keyword spotting. Three types of query by example keyword spotting approaches are described and evaluated: sequence distances, speech to phonemes and deep distance learning. Evaluation is done on a series of custom tasks designed to measure a variety of aspects. The Google Speech Commands benchmark is used for evaluation as well, this to make it more comparable to existing w

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3

Ling, Yong. "Keyword spotting in continuous speech utterances." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0024/MQ50822.pdf.

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4

Ling, Yong 1973. "Keyword spotting in continuous speech utterances." Thesis, McGill University, 1999. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=21595.

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The work in this thesis constructed a word spotting system, which managed to spot an amount of pre-defined keywords out of unconstrained running conversational speech utterances. The development and experiments are based on the Credit Card subset of SWITCHBOARD speech corpus. The techniques are applied in the context of a Hidden Markov Model (HMM) based Continuous Speech Recognition (CSR) approach to keyword spotting. The word spotting system uses context-dependent acoustic triphone to model both keyword and non-keyword speech utterances. To enhance the true keyword spotting rate, sophisticate

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5

Puigcerver, I. Pérez Joan. "A Probabilistic Formulation of Keyword Spotting." Doctoral thesis, Universitat Politècnica de València, 2019. http://hdl.handle.net/10251/116834.

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[ES] La detección de palabras clave (Keyword Spotting, en inglés), aplicada a documentos de texto manuscrito, tiene como objetivo recuperar los documentos, o partes de ellos, que sean relevantes para una cierta consulta (query, en inglés), indicada por el usuario, entre una gran colección de documentos. La temática ha recogido un gran interés en los últimos 20 años entre investigadores en Reconocimiento de Formas (Pattern Recognition), así como bibliotecas y archivos digitales. Esta tesis, en primer lugar, define el objetivo de la detección de palabras clave a partir de una perspectiva basada

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6

Wang, Miaorong. "Algorithms and low power hardware for keyword spotting." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118035.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 73-76).<br>Keyword spotting (KWS) is widely used in mobile devices to provide hands-free interface. It continuously listens to all sound signals, detects specific keywords and triggers the downstream system. The key design target of a KWS system is to achieve high classification accuracy of specified keywords and have low power consumption while doing real-time processing of speech data. The

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7

Friesch, Pius. "Generating Training Data for Keyword Spotting given Few Samples." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254960.

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Speech recognition systems generally need a large quantity of highly variable voice and recording conditions in order to produce robust results. In the specific case of keyword spotting, where only short commands are recognized instead of large vocabularies, the resource-intensive task of data acquisition has to be repeated for each keyword individually. Over the past few years, neural methods in speech synthesis and voice conversion made tremendous progress and generate samples that are realistic to the human ear. In this work, we explore the feasibility of using such methods to generate trai

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8

Zhang, Yaodong Ph D. Massachusetts Institute of Technology. "Unsupervised spoken keyword spotting and learning of acoustically meaningful units." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54655.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 103-106).<br>The problem of keyword spotting in audio data has been explored for many years. Typically researchers use supervised methods to train statistical models to detect keyword instances. However, such supervised methods require large quantities of annotated data that is unlikely to be available for the majority of languages in the world. This thesis addresses this lack-of-annotation problem

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9

Narasimhan, Karthik Rajagopal. "Morphological segmentation : an unsupervised method and application to Keyword Spotting." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90139.

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Thesis: S.M. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.<br>26<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 41-44).<br>The contributions of this thesis are twofold. First, we present a new unsupervised algorithm for morphological segmentation that utilizes pseudo-semantic information, in addition to orthographic cues. We make use of the semantic signals from continuous word vectors, trained on huge corpora of raw text data. We formulate a log-linear model t

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10

Thambiratnam, Albert J. K. "Acoustic keyword spotting in speech with applications to data mining." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/37254/1/Albert_Thambiratnam_Thesis.pdf.

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Keyword Spotting is the task of detecting keywords of interest within continu- ous speech. The applications of this technology range from call centre dialogue systems to covert speech surveillance devices. Keyword spotting is particularly well suited to data mining tasks such as real-time keyword monitoring and unre- stricted vocabulary audio document indexing. However, to date, many keyword spotting approaches have su®ered from poor detection rates, high false alarm rates, or slow execution times, thus reducing their commercial viability. This work investigates the application of keyword spot

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11

Karmacharya, Piush. "Design of Keyword Spotting System Based on Segmental Time Warping of Quantized Features." Master's thesis, Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/205192.

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Electrical Engineering<br>M.S.E.E.<br>Keyword Spotting in general means identifying a keyword in a verbal or written document. In this research a novel approach in designing a simple spoken Keyword Spotting/Recognition system based on Template Matching is proposed, which is different from the Hidden Markov Model based systems that are most widely used today. The system can be used equally efficiently on any language as it does not rely on an underlying language model or grammatical constraints. The proposed method for keyword spotting is based on a modified version of classical Dynamic Time Wa

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12

James, David Anthony. "The application of classical information retrieval techniques to spoken documents." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361412.

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13

Chen, I.-Fan. "Resource-dependent acoustic and language modeling for spoken keyword search." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54919.

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In this dissertation, three research directions were explored to alleviate two major issues, i.e., the use of incorrect models and training/test condition mismatches, in the modeling frameworks of modern spoken keyword search (KWS) systems. Each of the three research directions, which include (i) data-efficient training processes, (ii) system optimization objectives, and (iii) data augmentation, utilizes different types and amounts of training resources in different ways to ameliorate the two issues of acoustic and language modeling in modern KWS systems. To be more specific, resource-dependen

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14

Manos, Alexandros Sterios. "A study on out-of-vocabulary word modelling for a segment-based keyword spotting system." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/39394.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.<br>Includes bibliographical references (leaves 93-95).<br>by Alexandros Sterios Manos.<br>M.S.

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15

Anifowose, Olakunle. "DESIGN OF A KEYWORD SPOTTING SYSTEM USING MODIFIED CROSS-CORRELATION IN THE TIME AND THE MFCC DOMAIN." Master's thesis, Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/205117.

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Electrical Engineering<br>M.S.E.E.<br>Abstract A Keyword Spotting System (KWS) is a system that recognizes predefined keywords in spoken utterances or written documents. The objective is to obtain the highest possible keyword detection rate without increasing the number of false detections in a system. The common approach to keyword spotting is the use of a Hidden Markov Model (HMM). These are usually complex systems which require training speech data. The Typical HMM approach uses garbage templates or HMM models to match non-keyword speech and non-speech sounds. The purpose of this research i

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16

Zemánek, Tomáš. "Detekce klíčových slov v mluvené řeči." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229642.

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This thesis is aimed on design keyword detector. The work contains a description of the methods that are used for these purposes and design of algorithm for keyword detection. The proposed detector is based on the method of DTW (Dynamic Time Warping). Analysis of the problem was performed on the module programmed in ANSI C, which was created within the thesis. The results of the detector were evaluated using the metrics WER (word error rate) and AUC (area under curve).

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17

Thomas, Simon. "Extraction d'information dans des documents manuscrits non contraints : application au traitement automatique des courriers entrants manuscrits." Rouen, 2012. http://www.theses.fr/2012ROUES048.

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Malgré l’entrée récente de notre monde dans l’ère du tout numérique, de nombreux documents manuscrits continuent à s’échanger, obligeant nos sociétés et administrations à faire face au traitement de ces masses de documents. Le traitement automatique de ces documents nécessite d’accéder à un échantillon inconnu mais pertinent de leur contenu et implique de prendre en compte trois points essentiels : la segmentation du document en entités comparable à l’information recherchée, la reconnaissance de ces entités recherchées et le rejet des entités non pertinentes. Nous nous démarquons des approches

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18

Khan, Wasiq. "A Novel Approach for Continuous Speech Tracking and Dynamic Time Warping. Adaptive Framing Based Continuous Speech Similarity Measure and Dynamic Time Warping using Kalman Filter and Dynamic State Model." Thesis, University of Bradford, 2014. http://hdl.handle.net/10454/14802.

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Dynamic speech properties such as time warping, silence removal and background noise interference are the most challenging issues in continuous speech signal matching. Among all of them, the time warped speech signal matching is of great interest and has been a tough challenge for the researchers. An adaptive framing based continuous speech tracking and similarity measurement approach is introduced in this work following a comprehensive research conducted in the diverse areas of speech processing. A dynamic state model is introduced based on system of linear motion equations which models the i

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19

He, Jeannie, and Matthew Norström. "Utvärdering av Part-of-Speech tagging som metod för identifiering av nyckelord i dialog." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263692.

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Denna studie presenterar Part-of-Speech tagging som metod för identifiering av nyckelord samt en marknadsanalys för en konverserande robot att leda språkkaféer. Resultatet evaluerades med hjälp av svar från enkäter utskickade till 30 anonyma personer med svenska som modersmål. Resultatet visar att metoden är rimlig och kan implementeras i en konverserande robot för att öka dess förståelse av det talade språket som förekommer inom språkkaféer. Marknadsanalysen indikerar att det existerar en marknad för den konverserande roboten. Roboten behöver dock förbättras för att kunna bli en ersättning fö

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20

Tomec, Martin. "Optimalizace rozpoznávání řeči pro mobilní zařízení." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237132.

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This work deals with optimization of keyword spotting algorithms on processor architecture ARM Cortex-A8. At first it describes this architecture and especially the NEON unit for vector computing. In addition it briefly describes keyword spotting algorithms and also there is proposed optimization of these algorithms for described architecture. Main part of this work is implementation of these optimizations and analysis of their impact on performance.

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21

Karanasou, Panagiota. "Phonemic variability and confusability in pronunciation modeling for automatic speech recognition." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00843589.

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This thesis addresses the problems of phonemic variability and confusability from the pronunciation modeling perspective for an automatic speech recognition (ASR) system. In particular, several research directions are investigated. First, automatic grapheme-to- phoneme (g2p) and phoneme-to-phoneme (p2p) converters are developed that generate alternative pronunciations for in-vocabulary as well as out-of-vocabulary (OOV) terms. Since the addition of alternative pronunciation may introduce homophones (or close homophones), there is an increase of the confusability of the system. A novel measure

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22

Wallace, Roy Geoffrey. "Fast and accurate phonetic spoken term detection." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/39610/1/Roy_Wallace_Thesis.pdf.

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For the first time in human history, large volumes of spoken audio are being broadcast, made available on the internet, archived, and monitored for surveillance every day. New technologies are urgently required to unlock these vast and powerful stores of information. Spoken Term Detection (STD) systems provide access to speech collections by detecting individual occurrences of specified search terms. The aim of this work is to develop improved STD solutions based on phonetic indexing. In particular, this work aims to develop phonetic STD systems for applications that require open-vocabulary se

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23

Thomas, S. "Extraction d'information dans des documents manuscrits non contraints : application au traitement automatique des courriers entrants manuscrits." Phd thesis, Université de Rouen, 2012. http://tel.archives-ouvertes.fr/tel-00863502.

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Malgré l'entrée récente de notre monde dans l'ère du tout numérique, de nombreux documents manuscrits continuent à s'échanger, obligeant nos sociétés et administrations à faire face au traitement de ces masses de documents. Le traitement automatique de ces documents nécessite d'accéder à un échantillon inconnu mais pertinent de leur contenu et implique de prendre en compte trois points essentiels : la segmentation du document en entités comparable à l'information recherchée, la reconnaissance de ces entités recherchées et le rejet des entités non pertinentes. Nous nous démarquons des approches

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24

Zhezhela, Oleksandr. "Vizualizace výstupu z řečových technologií pro potřeby kontaktních center." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236041.

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The thesis is aimed on visualisation of data mined by speech processing technologies. Some methods speech data extraction were studied and technologies for this task were analysed. The variety of meta data that can be mined from speech was defined. Were also examined existing standards and processes of call centres. Some requirements for the user interface were gathered and analysed. On that basis and after communication with call centre employees there was defined and implemented a concept for speech data visualization. Gained solutions were integrated into Speech Analytics Server (SPAS).

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25

Kúšik, Lukáš. "Electronic Flight Bag." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-449169.

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Cieľom tejto diplomovej práce je vytvoriť Electronic Flight Bag (EFB) aplikáciu pre mobilné telefóny s operačným systémom Android. Pre splnenie tejto úlohy bola preskúmaná aktuálna legislatíva ohľadom EFB aplikácií spolu s najmodernejšími EFB aplikáciami dostupnými na aplikačnom trhu. Na základe týchto informácií je navrhnutá a implementovaná EFB aplikácia určená pre pilotov všeobecného letectva. Výsledný produkt obsahuje funkcie pre plánovanie letu, vlastnú leteckú mapu, pilotný denník, katalóg letísk s dátami z celého sveta a ďalšie. Podpora offline zaručuje funkčnosť v reálnych podmienkach

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26

Liu, You-Te, and 劉佑德. "Keyword Spotting for Multi-keyword Sentences." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/69825552494630758074.

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27

Qiu, Jian-Hong, and 邱建宏. "The Adaptive Keyword Spotting System." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/55713266507207501323.

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28

Jong, Huey Jen, and 鐘慧真. "Improvement of Keyword Spotting Method." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/60239372937583640693.

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29

Pai, Yu-sheng, and 白育昇. "A system for Keyword Spotting." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/14150552162566606147.

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碩士<br>國立中央大學<br>通訊工程研究所碩士在職專班<br>97<br>This paper’s goal is to research voice reorganization technique and to develop a speech keyword spotting system which can be working on any operation system and have the feature of probability and easy to use. This system are consist of three part, voice data reading program and keyword spotting program are working in the Microsoft Windows XP SP system, and develop platform is Borland C++ Builder 5. Speech keyword reorganization program is developed by HTK 3.3 and working in the Linux Fedora 5system. In this system we use HTK to develop HMM and to bu

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Haji, Mehdi. "Arbitrary Keyword Spotting in Handwritten Documents." Thesis, 2012. http://spectrum.library.concordia.ca/973970/1/Haji_PhD_S2012.pdf.

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Despite the existence of electronic media in today’s world, a considerable amount of written communications is in paper form such as books, bank cheques, contracts, etc. There is an increasing demand for the automation of information extraction, classification, search, and retrieval of documents. The goal of this research is to develop a complete methodology for the spotting of arbitrary keywords in handwritten document images. We propose a top-down approach to the spotting of keywords in document images. Our approach is composed of two major steps: segmentation and decision. In the former,

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31

Chang, Wen-Hai, and 姜文海. "Keyword Spotting By Diverse NonKeyword Models." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/85257955390148289153.

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32

Chen, Shing-Huai, and 陳芯暉. "Continuous Speech Keyword Spotting Using Phoneme Concatenation." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/57886611966490955864.

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碩士<br>國立成功大學<br>資訊及電子工程研究所<br>83<br>In this thesis, s Continuous Speech Keyword SPotting System Using Phoneme Template Concatenation is described, the function of this system is to extract the keyword of a sentence which is from the continuous speech input of users can define their own keyword or nonkeyword database without retraining this system. In the procedure of training, we collect 176 monosyllables for training. they are segemented into consonants and vowels. Then we train them with

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陳世民. "Applying consensus hypothesis to the keyword spotting." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/35655018330966085376.

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Wang, Yi-Lii, and 王怡理. "A Design of Mandarin Keyword Spotting System." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/50857546657271436378.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>91<br>A Mandarin keyword spotting system based on LPC, VQ, discrete-time HMM and Viterbi algorithm is proposed in the thesis. Joining with a dialogue system, this keyword spotting platform is further refined to a prototype of Taiwan Railway Natural Language Reservation System. In the reservation process, five questions: name and ID number, departure station, destination station, train type and number of tickets, and time schedule are asked by the computer-dialogue attendant. Following by the customer’s speech confirmation, electronic tickets can be correctly issued

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35

Cheng, Han Min, and 鄭漢銘. "A Study On The Keyword Spotting System." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/92022534881446108652.

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Chen, Yen-An, and 陳彥安. "A Hierarchical Keyword Spotting Method for Continuous Speech." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/33279403155913093840.

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碩士<br>國立東華大學<br>資訊工程學系<br>94<br>Filler-based keyword spotting method’s performance depends heavily on the efficacy of the built filler (garbage) model. Training an effective filler model is not a trivial task. Therefore, it is the goal of this study to propose a novel improved solution over the filler-based keyword spotting methods. This thesis proposes a hierarchical keyword spotting (HKWS) method that replaces the keyword spotting process with a syllable-level spotting process followed by another word-level composition process. The first step of the syllable-level spotting is to pinpoint out

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Hsu, Chih-wen, and 徐志文. "A Study on Mandarin Keyword Spotting and UtteranceVerification." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/01075663132747706823.

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Tsai, Yan-Hsing, and 蔡炎興. "A System for Keyword Spotting and Speaker Recognition." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/12571122850830163508.

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39

Lin, Chia-Hsien, and 林家賢. "Mandarin Keyword Spotting by Searching the Syllable Lattices." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/56911575721497804150.

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Li, Bo-Yi, and 李柏毅. "Apply Emotional Speech Recognition to Keyword Spotting System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/36897528516588830798.

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碩士<br>崑山科技大學<br>數位生活科技研究所<br>98<br>This study proposed the emotional speech classification and speech recognition system through the collected emotional speech corpus and TCC300 speech corpus. We exploited one pass search algorithm to complete the recognition task of emotion and speech by the used of the MFCC and hidden Markov model-based recognition architecture. In emotional speech recognition, we assumed that the short-time speech emotion may varied, therefore, the mechanism of longest lasting time accumulation of the most possible speech emotion was adopted after one pass search algorithm

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Chou, Che-Hsuan, and 周哲玄. "Implementation and Comparison of Keyword Spotting for Taiwanese." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/31220962632445120532.

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碩士<br>國立清華大學<br>資訊工程學系<br>100<br>This thesis focuses on improving in the performance of a Taiwanese keyword spotting system by integrating speech assessment and pitch contour classification. In the first part of this research, we use different methods to implement a Taiwanese keyword spotting system. In second part, we improve the system by validation using speech assessment and pitch contour classification. In the first part, two methods are adopted to implement the keyword spotting system. The first method uses the hidden Markov model while the second method uses the phone mismatching method

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Wu, Kang-Lin, and 吳岡霖. "Application of Speech Keyword Spotting in Train Schedule Querying." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/7739p5.

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43

Wu, Ching-Leung, and 武景龍. "A Keyword Spotting System using Syllable/Word Confusion Modeling." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/94151614845197171844.

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碩士<br>國立交通大學<br>電信工程系<br>89<br>In this thesis, a new keyword spotting system using reward function to discriminate keywords from the background fillers was proposed. It first defined a confusion measure between Mandarin syllable-pair as the HMM recognition score difference of the correct and alternate hypothesis. And, the Gaussian pdf is used to model the confusion measure of syllable-pair. Under the assumption of independence between adjacent syllables, the confusion measure of word-pair becomes the summation of corresponding syllable-pairs. Finally, the confusing measure of word-pair was use

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Hou, Cheng-Kuan, and 侯政寬. "A Design and Applications of Mandarin Keyword Spotting System." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/25291815334814226760.

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碩士<br>國立中山大學<br>通訊工程研究所<br>91<br>A Mandarin keyword spotting system based on MFCC, discrete-time HMM and Viterbi algorithm with DTW is proposed in this thesis. Joining with a dialogue system, this keyword spotting platform is further refined to a prototype of natural speech patient registration system of Kaohsiung Veterans General Hospital. After the ID number is asked by the computer-dialogue attendant in the registration process, the user can finish all relevant works in one sentence. Functions of searching clinical doctors, making and canceling registration are all built in this system.

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Huang, Kuo-Chang, and 黃國彰. "A Study on Utterance Verification in Chinese Keyword Spotting." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/74510893636928654215.

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碩士<br>國立中央大學<br>電機工程學系<br>85<br>In this thesis, we will search the best technique of utterance verification,using in keyword spotting system. The corpus of this thesis can divide into three parts, in the first part; we focus on increasing the recognition rate in keyword spotting system without the ability of rejection. From the experimental information, we proposed a decision rule that can rise the recognition rate from Top3 to Top1. From the experimental result, it is seem that the recogni

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Chung, Chin-Chu, and 鐘進竹. "A Mandarin Keyword Spotting System Assisted with Tone Recognition." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/95216143773838972639.

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碩士<br>國立交通大學<br>電機學院電信學程<br>99<br>Most of today's Mandarin speech recognition systems use 411 syllables (regardless of tone information) as recognition unit, and most of them could be recognized correctly with the help of language model. However, in the case of keyword spotting, keywords are always Named Entities, such as person names, location names, company names,…, etc. Those keywords are usually only two characters in length and easily confused with each other. So it is important to recognize words with tone information. In this thesis, two-stage keyword spotting system is used. RAPT

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Hung, Yu-Chun, and 洪毓淳. "Robust Multi-keyword Spotting of Temephone Speech Using Stochastic Matching." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/54754631912556353075.

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碩士<br>國立成功大學<br>資訊工程學系<br>86<br>Automatic speech recognition over telephone networks can offer various services for users. To develop a robust telephone speech recognition systemis one of the primary research in automatic speech recognition. When the speech recognition system is applied in telephone networks, the acoustic mismatch between the training and testing environments always causes performance degradation. In this thesis, a two-level codebook- based stochastic matching is proposed

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Tsai, Yeong-Chi, and 蔡永琪. "Sub-Syllable Unit Based Keyword Spotting of Large Vocabulary Recognition." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/14569386828196271167.

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碩士<br>國立中央大學<br>電機工程研究所<br>83<br>In this thesis, we mainly propose a technique for Continuous Speech Wordspotting System based on Sub- Syllable Unit. A Connected Word Recognition Algorithm has been implemented. We discuss techniques for dealing with both non- keyword speech models and keyword speech models in training. An HMM-based connected word recognition sys- tem is used to find the best sequence of keyword, non- keyword for matching the actual input. In this thesis, we task w

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Deng, Cun-Zhi, and 鄧存智. "Voice Activity Detection and Keyword Spotting System on Embedded Platform." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/39049943250279766666.

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碩士<br>國立交通大學<br>電信工程系所<br>96<br>In this thesis, an embedded isolated Mandarin word recognition system and keyword spotting were implemented in a Windows-CE based mobile device. The speech recognition system used a HMM recognizer using partition Lapalacian observation probability. The system was carefully tuning in order to get the near real-time response without performance degeneration. Finally, the isolated Mandarin word recognition system, the system response time is about 1.2 times real time and 95.8% word recognition rate can be achieved for a 1000 words application, in the other hand, ke

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Chan, Feng-Mao, and 詹豐懋. "New keyword Spotting Method using Confusion Measure between 411 Monosyllables." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/62287907574810638393.

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碩士<br>國立交通大學<br>電信工程系<br>87<br>In this thesis, a new keyword spotting method using confusion measure was proposed. The confusion measure of 411 monosyllables was first found from the pdf of recognition score of each models. By proper chosen the missing error probability, the confusion penalties could be found in monosyllable recognizer. Confusion penalties are applied to the keyword spotting system and the recognition rate of keyword recognition system is improved. Furthermore, tone recognizer is added in keyword spotting system. And, the confusion penalties of 5 tones are also applied to the

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