incorporating speech recognition confidence

Ngày tải lên: 17/03/2014, 04:20

... 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/Pa Fig.1. T-Engine layout III. PROPOSED METHOD FOR SPEECH RECOGNITION IN T-ENGINE Fig.2. Speech recognition in T-Engine The UDA1342 audio codec in T-Engine provides a minimal...

Ngày tải lên: 12/04/2013, 16:05

... 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:...

Ngày tải lên: 28/10/2013, 14:15

... New Speech Macro, chọn tùy chọn thứ hai, có tên là 'Run a Program'. Tăng cường Windows Speech Recognition bằng các Macro Trong 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...

Ngày tải lên: 24/12/2013, 03:15

... kernel with the SVM. 3 Confidence- weighted classification Dredze et al. (2008) introduce confidence- weighted linear classifiers which are online- classifiers that maintain a confidence parameter for ... this by having a confidence- parameter for each weight, modeled by a Gaussian distribution, and this pa- rameter is used to make more aggressive updates on weights with lower confidence (Dredze ... Experiments 4.1 Software We use the open-source parser MaltParser 1 for all experiments. We have integrated confidence- weighted, perceptron and MIRA classifiers into the code. The code for the online classifiers...

Ngày tải lên: 20/02/2014, 04:20

... 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 the proposed confidence measure has a high correlation with HTER. However, it is not very clear if the core MT system can benefit from confidence measure by provid- ing better ... hypotheses and for each hypothesis we compute sentence-level confidence scores. The best candidate is the hypothesis with high- est confidence score. Table 3 shows the performance of reranking systems...

Ngày tải lên: 20/02/2014, 04:20

... automatic speech recognition systems operate with a large but limited vocabulary, finding the most likely words in the vocabulary for the given acoustic signal. While large vocabulary continuous speech recognition ... produce a lexicon of sub-word units that can be used by a hybrid sys- tem for open vocabulary speech recognition. Rather than relying on the text alone, we also utilize side information: a mapping ... 2011. c 2011 Association for Computational Linguistics Learning Sub-Word Units for Open Vocabulary Speech Recognition Carolina Parada 1 , Mark Dredze 1 , Abhinav Sethy 2 , and Ariya Rastrow 1 1 Human...

Ngày tải lên: 20/02/2014, 04:20

... 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. Open domain speech recognition ... Zhu † Abstract We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lec- ture domain with an average word error rate 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,...

Ngày tải lên: 20/02/2014, 07:20

... a stochastic context-free grammar as a lan- guage model for speech recognition. In Proceedings of the IEEE 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 goal in speech recognition, i.e., word error rate. Previ- ous work (Roark et al., 2004a; Roark et al., 2004b) has ... in examining the potential utility of syntactic features for discriminative language modeling for speech recognition. We tried two possible sets of features derived from the full annotation, as well...

Ngày tải lên: 20/02/2014, 15:20

... 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...

Ngày tải lên: 20/02/2014, 18:20

... 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...

Ngày tải lên: 20/02/2014, 18:20

... 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....

Ngày tải lên: 21/02/2014, 20:20

... 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 Experiments We have trained language models on the in- domain data together with web data, and these models have been used in speech recognition ex- periments. ... queries. Also results from language modeling and speech recog- nition experiments favored statistical querying. 2.3 Web collections obtained For the speech recognition experiments described in the current...

Ngày tải lên: 22/02/2014, 02:20

... Greece, 30 March – 3 April 2009. c 2009 Association for Computational Linguistics Performance Confidence Estimation for Automatic Summarization Annie Louis University of Pennsylvania lannie@seas.upenn.edu Ani ... difficult to summarize based on structural properties. Documents containing ques- tion/answer sessions, speeches, tables and embed- ded lists were identified based on patterns and these features were used ... properties of document clusters can be used to identify difficult inputs. The task of predicting the confidence in system performance for a given input is in fact relevant not only for summarization,...

Ngày tải lên: 22/02/2014, 02:20

... the ratio 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 statistical machine translation. In Proc. EAMT, pages 262– 270. N. Ueffing and H. Ney. 2007. Word-level confidence estimation for machine...

Ngày tải lên: 07/03/2014, 22:20

Ngày tải lên: 08/03/2014, 01:20

Ngày tải lên: 08/03/2014, 02:21

Ngày tải lên: 08/03/2014, 07:20

Ngày tải lên: 08/03/2014, 07:20