automatic speech recognition system pdf

... AN AUTOMATIC SPEECH RECOGNITION SYSTEM FOR T! IE ITALIAN LANGUAGE Paolo D'Orta, Marco Ferretti, Alessandro ... Searei IBM Rome Scientific Center via Giorgione 159, ROME (Italy) ABSTRACT 4. An automatic speech recognition system for Italian language has been developed at IBM Italy Scientific Center in ... sequence of n words, and let A be the acoustic information extracted from the speech signal, from which the system will try to identify the pronounced words. P(WI~) i ndieates the probability...

Ngày tải lên: 01/04/2014, 00:20

... 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

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... 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

... 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...

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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...

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Ngày tải lên: 14/12/2013, 10:15

... sys- tems. Automatic evaluation requires a cor- pus of questions and answers, a definition of what is a correct answer, and a way to com- pare the correct answers to automatic answers produced by a system. ... 433–440. Chiori Hori, Takaaki Hori, and Sadaoki Furui. 2003. Evaluation Methods for Automatic Speech Summa- rization. In In Proc. EUROSPEECH, volume 4, pages 2825–2828, Geneva, Switzerland. Valentin Jijkoun ... the data, and to develop an auto- matic approval system for further data collec- tion projects conducted in a similar manner. 1 Introduction Automatic question answering (QA) is an alternative to...

Ngày tải lên: 20/02/2014, 09:20

... 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, ... word-lattice was produced, represent- ing alternative transcriptions, from the ASR system. The baseline ASR system that we are comparing against then performed a rescoring pass on these first pass ... word-lattices, each training utter- ance was processed by the baseline ASR system. In a naive approach, we would simply train the base- line system (i.e., an acoustic model and language model) on the entire...

Ngày tải lên: 20/02/2014, 15:20

... 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, ... in the Ilearsay-ll Speech System, Proc. IEEE Int, Conf. ASSP, pp. 549-552, 1976. 25. Valient, l , General Context Free Recognition in Less Than Cubic Time, J. Computer and System Sciences 10, ... invariants; allophonic variation is traditionally seen as problematic for recognition. (I) "In most systems for sentence recognition, such modifications must be viewed as a kind of 'noise'...

Ngày tải lên: 21/02/2014, 20:20

... 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