automatic speech recognition system ppt

... 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

... 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

... been used widely in NER systems as a hint to determine the possible named entities. Part-of -Speech tags of the words depend highly on the language and the available Part-of -Speech tagger. Taggers ... many computational tasks. In this paper we an- alyze the effect of morphology in a Named Entity Recognition system for Turkish. We start with the standard word-level representa- tion and incrementally ... information extraction is the Named Entity Recognition (NER) which aims to locate and classify the named entities of an unstruc- tured text. State-of-the-art NER systems have been produced for several...

Ngày tải lên: 30/03/2014, 21:20

... 2007) the state- of-the-art speech- to -speech translation system de- veloped by NICT-ATR, Japan. 2 SPEECH- TO -SPEECH TRANSLA- TION SYSTEM A speech- to -speech translation system is very large and ... Introduction Speech recognition, speech synthesis, and machine translation research started about half a century ago. They have developed independently for a long time until speech- to -speech translation ... of ATR speech- to -speech translation system. In Proc. of Autumn Meeting of the Acousti- cal Society of Japan, pages 1–7–10, 2005, in Japa- nese. 28 posterior probability (GWPP)-based recognition...

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Ngày tải lên: 01/04/2014, 00:20

... 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

... Surface Roughness Recognition System for End Milling Operations 16.1 Introduction 16.2 Methodologies 16.3 Experimental Setup and Design 16.4 The In-Process Surface Roughness Recognition Systems ... surface roughness recognition (ISRR) systems for implementation in the newer generation of milling machines. The successful implementation of this surface roughness recognition system will enable ... overall ISRR system capable of extensive application in actual manufacturing environments. 3. Feedback control is necessary for automated production systems. The ISRR should be a closed- loop system, ...

Ngày tải lên: 23/01/2014, 01:20