typing with speech recognition windows 7

... 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, ... có 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...

Ngày tải lên: 24/12/2013, 03:15

Ngày tải lên: 16/03/2014, 23:20

Ngày tải lên: 22/06/2014, 23:20

Ngày tải lên: 10/08/2014, 23:22

... 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 ... concerned with the combination of speech recognition and synthesis engines and the implementation of them in T-Engine Embedded system. Based on previous research in Vietnamese speech recognition ... 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 query information...

Ngày tải lên: 12/04/2013, 16:05

... Conversation with the Mac 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 ... feature " ;speech recognition& quot;—the Mac OS feature called PlainTalk doesn't take dictation, typing out what you say. (For that, you need a program like iListen, www.macspeech.com —or, ... "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...

Ngày tải lên: 28/10/2013, 14:15

... 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 ... of a hybrid sys- tem with baseline units 9 (Đ5.2) and one with units learned by our model on OOV detection and phone error rate. We present results using a hybrid system with 5k and 10k sub-words. We ... uniform-occupancy partitioning described in White et al. (20 07) . We used 50 partitions with a minimum of 100 train- ing values per partition. 71 8 (a) (b) Figure 4: DET curves for OOV detection using...

Ngày tải lên: 20/02/2014, 04:20

... 48.08 52. 17 50.58 RT = 5 50.01 50. 07 49.99 51.13 48.39 47. 37 50.91 49.62 RT = 2 49. 87 51 .75 49.52 51.13 47. 13 47. 31 52 .70 50.56 XER-NoS RT = 10 47. 25 46.82 49.98 48 .72 48.44 45.21 51. 37 49 .73 RT ... 49.03 48 .78 47. 37 51.25 47. 84 44. 07 49.54 48. 97 RT = 2 52.21 53. 47 49.31 52.29 50.85 49.41 50.63 51.81 S W ER RT = 10 45.18 44.58 49.06 45. 97 46.49 45.30 49.60 47. 95 RT = 5 44.82 43.82 46 .73 45.52 ... tran- 76 7 Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 76 4 77 2, Suntec, Singapore, 2 -7 August 2009. c 2009 ACL and AFNLP Improving Automatic Speech Recognition...

Ngày tải lên: 20/02/2014, 07:20

... The rt03 set consists of 9050 sentences (76 083 words) and has two subsets: Switchboard and Fisher. The training set consists of 2 975 80 transcribed utterances (32 975 79 words) 4 . For each utterance, 4 Note ... the other 27 sets. Lattices for each utterance were produced with an acoustic model that had been trained on the entire training set, but with a language model that was trained on the 27 data portions ... had to do with how speech repairs (identified as EDITED constituents in the Switchboard style parse trees) and filled pauses or interjections (labeled with the INTJ label) were dealt with. In the...

Ngày tải lên: 20/02/2014, 15:20

... the evaluation. Table 3-1 The recognition characteristics Recognition accuracy(%) Insertion Deletion Substitution Sum (in character) 74 .73 2642 170 2 80 87 12431 Preparation of Error-Patterns: ... understanding of the recognition results by7%. (3) It has very little influence on correct recognition results. (4) It is more applicable for a recognition result with a few errors than one with many ... 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...

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

... the results at the coda node with M&. That is, (17a) can be computed in parallel with (17b). mid then the rcsulLs are aligned whcn the coda is computed with (16), as illustrated below ... locate the coda by intersecting the nasal cluster lattice (computed with (17a)) with the homorganic lattice (computed with (17b)). (20) t a n t nasal cluster: I J homonganJc: I I coda: I ... Verification in a Speech Understanding System, in P,. R, eddy (ed.), Speech Recognition, Invited Papers Presented at the 1 974 [EEE Symposium, Academic Press, pp. 321-344, 1 974 . 20. Klatt, D.,...

Ngày tải lên: 21/02/2014, 20:20

... adapt. 23.4 (7. 7) 18.5 (0.3) +message adapt. 21 .7 (14.4) 18.0 (3.2) Web mixture 21.9 (13 .7) 17. 5 (5.8) +unigram adapt. 21.5 (15.3) 17. 7 (5.0) +message adapt. 21.2 (16.5) 17. 7 (4 .7) Canadian French, ... 40 70 In-domain 17. 9 17. 5 17. 3 – Web mixture 17. 5 16 .7 16.4 15.8 WER reduction 2.2 4.4 5.2 8.4 European Spanish FST size [MB] 10 20 25 40 In-domain 18.9 18 .7 18.6 – Web mixture 18 .7 17. 9 17. 4 ... conversational speech recognition. ACM Trans. Speech Lang. Pro- cess., 5(1):125. ă Ozgăur Cá etin and Andreas Stolcke. 2005. Lan- guage modeling in the ICSI-SRI spring 2005 meet- ing speech recognitionevaluation...

Ngày tải lên: 22/02/2014, 02:20

... voice icon for the element in focus. 6 Combining flexible dialogue and Speech Cursor Combining flexible dialogue processing with the Speech Cursor concept 1 enables interaction where the user may freely ... novel combination of flexible Multimodal Menu-Based Dialogue and a Speech Cursor which together enable flexible multi- modal interaction without the need for looking at the screen. In the following, ... for humans, and enabling spoken inter- action with technologies may thus make it easier and less cognitively demanding for people to in- teract with machines. However, this requires that the...

Ngày tải lên: 07/03/2014, 22:20

... on Automatic Speech Recognition: Chal- lenges for the new Millenium, Paris, pp. 47 52, 2000. Young, S.R., Use of dialog, pragmatics and semantics to enhance speech recognition, Speech Communi- cation, ... Automatic Speech Recognition (ASR) systems, along with an Enhanced Majority Rules (EMR) software algorithm. Each of the three individual systems received the same input, performed speech recognition, ... reduction (ROVER). In IEEE Workshop on Automatic Speech Recognition and Understanding, pp. 3 47 354, 19 97. Furui, S., Recent progress in spontaneous speech rec- ognition and understanding, In Proceedings...

Ngày tải lên: 08/03/2014, 01:20

... Vocab- ulary Speech Recognition with Flat Hybrid Models. INTERSPEECH-2005, 72 5 72 8. Janne Pylkkönen. 2005. An Efficient One-pass Decoder for Finnish Large Vocabulary Continuous Speech Recognition. ... sizes. 1 Introduction 1.1 OOV problem Open vocabulary speech recognition refers to au- tomatic speech recognition (ASR) of continuous speech, or speech- to-text” of spoken language, where the recognizer ... Moreover, large vocabulary speech recogni- tion is not possible in most languages of the world without first developing the tools needed for open vocabulary speech recognition. This is due to...

Ngày tải lên: 08/03/2014, 02:21

... Linguistics, University of Bonn, pp. 5 87- 592. Jelinek, F. (1 976 ). Continuous Speech Recognition by Statistical Methods, Prec. IEEE, Vol. 64(4), pp. 532-556, Apr. 1 976 . Kay M. (1980). Algorithm Schemata ... Intelligence, Vol. 12, No. 7. July 1990, pp. 695 -70 4. O'Shaughnessy, D. (1989). Using Syntactic Information to Improve Large Vocabulary Word Recognition, ICASSP'89, pp. 71 5 -71 8. Sheiber, S. ... L. S. (1990a). An Augmented Chart Data Structure with Efficient Word Lattice Parsing Scheme in Speech Recognition Applications. To appear on Speech Communication., also in Proceedings of the...

Ngày tải lên: 08/03/2014, 07:20

Ngày tải lên: 08/03/2014, 07:20

Ngày tải lên: 08/03/2014, 21:20