automatic speech recognition system classification

Ngày tải lên: 01/04/2014, 00:20

... Fiscus. 1997. A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER). In Proc. IEEE Workshop on Automatic Speech Recognition and Understand- ing ... Stăuker, S. Vogel, and A. Waibel. 2006. Open domain speech recognition & translation: Lectures and speeches. In Proc. IEEE Conf. on Acoustics, Speech, and Signal Processing (ICASSP), volume 1, pages ... comple- mentary ASR systems, a technique first proposed in the context of NIST’s ROVER system (Fiscus, 1997) with a 12% relative error reduction (RER), and subsequently widely employed in many ASR systems. This...

Ngày tải lên: 20/02/2014, 07:20

... 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 ... every new task is difficult and costly. 18 5.2 Message-Driven Speech Recognition State-of-the-art automatic speech recognition systems employ the criterion of maximizing P(/4,qX), where W...

Ngày tải lên: 20/02/2014, 18:20

... different 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 ... Workshop 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 ... 2 Background Automatic speech recognition systems convert a speech signal into a sequence of words, usually based on the Hidden Markov...

Ngày tải lên: 08/03/2014, 01:20

... Witbrock, M., Hauptmann, A., (1996 ). Informedia: News-on-Demand Experiments in Speech Recognition. ARPA Speech Recognition Workshop, Arden House, Harriman, NY. Witten, I. and Frank, E. (2005). ... IR system. We examine three systems: one that uses ASR with the grounded language model, a baseline system that uses ASR with the text only interpolated language model, and finally a system ... Learning to Recognize Speech by Watching Television. IEEE Intelligent Systems Magazine, 14(5), pp. 51-58. Mukherjee, N. and Roy, D (2003). A Visual Context- Aware Multimodal System for Spoken Language...

Ngày tải lên: 17/03/2014, 02:20

... Linguistics WordNet-based Semantic Relatedness Measures in Automatic Speech Recognition for Meetings Michael Pucher Telecommunications Research Center Vienna Vienna, Austria Speech and Signal Processing Lab, TU Graz Graz, ... Portugal. Jerome Bellegarda. 2000. Large vocabulary speech recognition with multispan statistical language mod- els. IEEE Transactions on Speech and Audio Process- ing, 8(1), January. G. Demetriou, ... Austria pucher@ftw.at Abstract This paper presents the application of WordNet-based semantic relatedness mea- sures to Automatic Speech Recognition (ASR) in multi-party meetings. Differ- ent word-utterance context relatedness...

Ngày tải lên: 17/03/2014, 04:20

Ngày tải lên: 03/05/2014, 20:50

Ngày tải lên: 20/06/2014, 22:20

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Ngày tải lên: 21/06/2014, 22:20

Ngày tải lên: 22/06/2014, 00:20

Ngày tải lên: 22/06/2014, 19:20

... 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 ... Luong Chi Mai, 'HMM/ANN System for Vietnamese Continuous Digit Recognition& apos; [2] Dang Ngoc Duc, Luong Chi Mai, 'Improve the Vietnamese Speech Recognition System Using Neural Network' ... 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...

Ngày tải lên: 12/04/2013, 16:05

Ngày tải lên: 13/04/2013, 11:10

... inition for poor speech recognition at the dialogue level, and to apply machine learning to build clas- sifiers detecting poor recognition solely from fea- tures of the system log. Second, ... presented here focuses ex- clusively on the problem of automatically detecting poor speech recognition, a solution to this problem clearly suggests system reaction, such as the strat- egy changes ... features. 2 Systems, Data, Methods The learning experiments that we describe here use the machine learning program RIPPER (Co- hen, 1996) to automatically induce a "poor speech recognition...

Ngày tải lên: 23/03/2014, 19:20

... target system to be evaluated is Transfer Driven Machine Translation (TDMT) (Takezawa et al., 1998). TDMT is a language translation sub- system of the Japanese-to-English speech trans- lation system ... using automatic evaluations. Figure 6 shows experimental results of the utterance unit 375 Applications of Automatic Evaluation Methods to Measuring a Capability of Speech Translation System Keiji ... (ATR-ITL) developed the ATR- MATRIX (ATR's Multilingual Automatic Trans- lation System for Information Exchange) speech translation system (Takezawa et al., 1998), which translates both ways...

Ngày tải lên: 31/03/2014, 20:20

Ngày tải lên: 01/04/2014, 00:20

Ngày tải lên: 21/06/2014, 20:20

Ngày tải lên: 19/10/2013, 07:15

... 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 ... change the key you hold down when you want the Mac to listen, visit the Speech pane of System Preferences; click the Speech Recognition tab; click Settings; and then click Change Key. A little...

Ngày tải lên: 28/10/2013, 14:15