incorporating speech recognition confidence
Vietnamese Speech Recognition and Synthesis in Embedded System Using T-Engine
... in speech recognition and synthesis have been started in recent years. Together with the developing trend of human-computer interaction systems using speech, the optimization of speech recognition ... demonstrate the use of speech in HCI we have combined speech recognition together with speech synthesis into our software running in T-Engine. This software allow users to use speech- commands to ... frequency 44KHz- -51dB/PaFig.1. T-Engine layout III. PROPOSED METHOD FOR SPEECH RECOGNITION IN T-ENGINEFig.2. Speech recognition in T-EngineThe UDA1342 audio codec in T-Engine provides a minimal...
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Speech Recognition
... The on/off switch for speech recognition in Mac OS X is the Speech pane of System Preferences (Figure 15-11). Where you see "Speakable items" (on the Speech Recognition tab), click ... "minimize speech window") to shrink it into your Dock. If you choose Speech Preferences from its bottom-edge triangle, you open the Speech Preferences window. Right: Choosing Open Speech ... 15.4. Speech Recognition Although it may surprise many Mac users, the Mac is quite talented when it comes to speech. Its abilities fall into two categories:...
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Tài liệu Tăng cường Windows Speech Recognition bằng các Macro doc
... New Speech Macro, chọn tùy chọn thứ hai, có tên là 'Run a Program'.Tăng cường Windows Speech Recognition bằng các MacroTrong bài viết này, chúng ta sẽ thảo luận về Windows Speech Recognition ... thể tạo một Speech Macro để cạnh tranh với các câu lệnh Windows Speech Recognition đang tồn tại dùng một nhóm từ của bạn sở hữu. Nếu muốn biết danh sách đầy đủ của Windows Speech Recognition, ... thể nói 'Type Alphabet' và Windows Speech Recognition sẽ viết tất cả các chữ của bảng chữ cái ra cho bạn. Như bạn thấy, Windows Speech Recognition macro có thể được dùng để làm nhiều...
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Tài liệu Báo cáo khoa học: "Transition-based parsing with Confidence-Weighted Classification" pdf
... kernel with the SVM.3 Confidence- weighted classificationDredze et al. (2008) introduce confidence- weighted linear classifiers which are online-classifiers that maintain a confidence parameterfor ... thisby having a confidence- parameter for each weight,modeled by a Gaussian distribution, and this pa-rameter is used to make more aggressive updateson weights with lower confidence (Dredze ... Experiments4.1 SoftwareWe use the open-source parser MaltParser1forall experiments. We have integrated confidence- weighted, perceptron and MIRA classifiers intothe code. The code for the online classifiers...
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Tài liệu Báo cáo khoa học: "A Method for Measuring Machine Translation Confidence" docx
... application of confidence score in the n-best list reranking task, we propose a method to visual-ize translation error using confidence scores. Our pur-pose is to visualize word and sentence-level confidence scores ... Section 4 indicate that theproposed confidence measure has a high correlationwith HTER. However, it is not very clear if the core MTsystem can benefit from confidence measure by provid-ing better ... hypotheses and foreach hypothesis we compute sentence-level confidence scores. The best candidate is the hypothesis with high-est confidence score. Table 3 shows the performance ofreranking systems...
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Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc
... automatic speech recognition systems operatewith a large but limited vocabulary, finding the mostlikely words in the vocabulary for the given acousticsignal. While large vocabulary continuous speech recognition ... produce a lexiconof sub-word units that can be used by a hybrid sys-tem for open vocabulary speech recognition. Ratherthan relying on the text alone, we also utilize sideinformation: a mapping ... 2011.c2011 Association for Computational LinguisticsLearning Sub-Word Units for Open Vocabulary Speech Recognition Carolina Parada1, Mark Dredze1, Abhinav Sethy2, and Ariya Rastrow11Human...
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Tài liệu Báo cáo khoa học: "Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data" ppt
... Automatic Speech Recognition and Understand-ing (ASRU), pages 347–354.C. F¨ugen, M. Kolss, D. Bernreuther, M. Paulik,S. St¨uker, S. Vogel, and A. Waibel. 2006. Opendomain speech recognition ... Zhu†AbstractWe demonstrate that transformation-basedlearning can be used to correct noisy speech recognition transcripts in the lec-ture domain with an average word errorrate reduction of ... of speech tagger. In Proc. 3rd Conf. on Applied NLP (ANLP),pages 152 – 155.P.R. Clarkson and Rosenfeld R. 1997. Statistical lan-guage modeling using the CMU-Cambridge Toolkit.In Proc. Eurospeech,...
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Tài liệu Báo cáo khoa học: "Discriminative Syntactic Language Modeling for Speech Recognition" pdf
... a stochastic context-free grammar as a lan-guage model for speech recognition. In Proceedings of theIEEE Conference on Acoustics, Speech, and Signal Process-ing, pages 189–192.John Lafferty, ... criterion we use to optimize the pa-rameter vector ¯α is closely related to the end goalin speech recognition, i.e., word error rate. Previ-ous work (Roark et al., 2004a; Roark et al., 2004b)has ... inexamining the potential utility of syntactic featuresfor discriminative language modeling for speech recognition. We tried two possible sets of featuresderived from the full annotation, as well...
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Tài liệu Báo cáo khoa học: "A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co-occurrence" pptx
... 3.1 Data Condition for Experiments Results of Speech Recognition: We used 4806 recognition results including errors, from the output of speech recognition (Masataki et al., 96; Shimizu et ... integrating recognition and translation into a speech translation system, the development of the following processes is therefore important: (1) detection of errors in speech recognition results; ... Spontaneous Dialogue Speech Recognition using Cross-word Context Constrained Word Graphs. ICASSP 96, pp. 145-148, 1996. Y. Wakita et al., 97. Correct parts extraction from speech recognition results...
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Tài liệu Báo cáo khoa học: "AUTOMATIC SPEECH RECOGNITION AND ITS APPLICATION TO INFORMATION EXTRACTION" pdf
... ROBUST SPEECH RECOGNITION 4.1 Automatic adaptation Ultimately, speech recognition systems should be capable of f robust, speaker- independent or speaker- adaptive, continuous speech recognition ... spontaneous speech recognition One of the most important issues for speech recognition is how to create language models (rules) for spontaneous speech. When recognizing spontaneous speech in ... continuous -speech recognition. Specifically, dictation of speech reading newspapers, such as north America business newspapers including the Wall Street Journal (WSJ), and conversational speech recognition...
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Tài liệu Báo cáo khoa học: "A Finite-Slate Parser for Use in Speech Recognition" pdf
... This view of allophonic variation is representative of much of the speech recognition literature, especially during the ARPA speech project. One can find similar statements by Cole and Jakim~k ... Thought, AJCL, 8: I, [982. 19. Klatt, D., Word Verification in a Speech Understanding System, in P,. R, eddy (ed.), Speech Recognition, Invited Papers Presented at the 1974 [EEE Symposium, ... of the ARPA Speech Understanding Project, JASA, 62:6, December 1977. ZI. Klatt, D., Scriber and Lal's: Two New Approaches to Speech Analysis, chapter 25 in W. Lea, Trends in Speech Recog....
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Tài liệu Báo cáo khoa học: "Web augmentation of language models for continuous speech recognition of SMS text messages" docx
... conversational speech recognition. ACM Trans. Speech Lang. Pro-cess., 5(1):1–25.¨Ozg¨ur C¸ etin and Andreas Stolcke. 2005. Lan-guage modeling in the ICSI-SRI spring 2005 meet-ing speech recognitionevaluation ... words to 8 billion.3 Speech Recognition ExperimentsWe have trained language models on the in-domain data together with web data, and thesemodels have been used in speech recognition ex-periments. ... queries. Alsoresults from language modeling and speech recog-nition experiments favored statistical querying.2.3 Web collections obtainedFor the speech recognition experiments describedin the current...
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Tài liệu Báo cáo khoa học: "Performance Confidence Estimation for Automatic Summarization" ppt
... Greece, 30 March – 3 April 2009.c2009 Association for Computational LinguisticsPerformance Confidence Estimation for Automatic SummarizationAnnie LouisUniversity of Pennsylvanialannie@seas.upenn.eduAni ... difficult to summarize based onstructural properties. Documents containing ques-tion/answer sessions, speeches, tables and embed-ded lists were identified based on patterns andthese features were used ... properties of document clusters can beused to identify difficult inputs.The task of predicting the confidence in systemperformance for a given input is in fact relevant notonly for summarization,...
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Báo cáo khoa học: "Balancing User Effort and Translation Error in Interactive Machine Translation Via Confidence Measures" pot
... theratio between user effort and final translation error.1.1 Confidence Measures Confidence estimation have been extensively stud-ied for speech recognition. Only recently have re-searchers started ... and N. Ueffing.2003. Confidence estimation for machine transla-tion.J. Blatz, E. Fitzgerald, G. Foster, S. Gandrabur,C. Goutte, A. Kuesza, A. Sanchis, and N. Ueffing.2004. Confidence estimation ... Application of word-level confidence measures in interactive statisticalmachine translation. In Proc. EAMT, pages 262–270.N. Ueffing and H. Ney. 2007. Word-level confidence estimation for machine...
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- an automatic speech recognition system
- use in speech recognition
- constraints in speech recognition
- speech recognition of czech
- automatic speech recognition for meetings
- confidencedependent chinese word segmentation
- active learning with confidence
- improving automatic speech recognition for lectures
- confidence driven unsupervised semantic parsing
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