... AN AUTOMATICSPEECHRECOGNITIONSYSTEMFOR T! IE ITALIAN LANGUAGE Paolo D'Orta, Marco Ferretti, Alessandro Martelli, ... IBM Rome Scientific Center via Giorgione 159, ROME (Italy) ABSTRACT 4. An automaticspeechrecognitionsystemfor Italian language has been developed at IBM Italy Scientific Center in Rome. ... dependent on any W. Then, the recognition task can be decomposed in these problems: 1. perform an acoustic processing able to extract from the speech signal an information A representative of...
... 764–772,Suntec, Singapore, 2-7 August 2009.c2009 ACL and AFNLPImproving AutomaticSpeechRecognitionfor Lectures throughTransformation-based Rules Learned from Minimal DataCosmin Munteanu∗†∗National ... train anASR systemfor the other half or for when thecourse is next offered, and still results in signifi-cant WER reductions. And yet even in this sce-nario, the business case for manually ... pronunciation of such abbreviated forms (es-pecially for Shell programming) and of mostly allvariable and custom function names proved to bea significant difficulty for the ASR system. This,combined with...
... transcription. For example, if the ASR output contains the term sequence “… and farther home run for David forty says…” and the closed captioning contains the sequence “…another home run for David ... video information retrieval. 4.3 Precision of Information Retrieval One of the most commonly used applications of ASR for video is to support information retrieval (IR). Such video IR systems ... evaluate the performance of our grounded language model on a speechrecognition task using video highlights from Major League Baseball games. Results indicate improved per-formance using three...
... this paper the best performing measuresfrom (Pucher, 2005), which outperform baselinemodels on word prediction for conversational tele-phone speech are used forAutomaticSpeech Recog-nition ... 129–132,Prague, June 2007.c2007 Association for Computational LinguisticsWordNet-based Semantic Relatedness Measures in Automatic Speech Recognitionfor MeetingsMichael PucherTelecommunications ... conversational speech. The JCN (Sec-tion 2.1) measure performs best for nouns using thenoun-context. The LESK (Section 2.1) measure per-forms best for verbs and adjectives using a mixedword-context.Text-based...
... practical ASR systems. Severalissues related to practical implementation are addressed. Recognition is not performed with9Techniques for Noise Robustness in AutomaticSpeech Recognition, First ... we now return to the subject of HMM-based speech recognition. To recap, we restatethe Bayesian formulation for the speech- recognition problem: given a speech recordingX,thesequence of wordsˆw1, ... to consider is the representation of the speech signal itself. Speech recognition is not performed directly with the speech signal. The information in speech is primarily inits spectral content...
... 18 A Hybrid Neural Fuzzy System for Statistical Process Control 18.1 Statistical Process Control 18.2 Neural Network Control Charts 18.3 A Hybrid Neural Fuzzy Control Chart 18.4 Design, ... points plotted before a control chart scheme gives an out-of- control signal. For the hybrid neural fuzzy chart or any other joint control charts such as and Rcharts, an out-of -control situation ... input module takes observa-tions from QC x and transforms them into appropriate types for both control charts for mean M-NNand for variance V-NN, which are the major components of the data...
... overall ISRR system capable of extensive application inactual manufacturing environments.3. Feedback control is necessary for automated production systems. The ISRR should be a closed-loop system, ... SurfaceRoughness Recognition Systemfor End Milling Operations 16.1 Introduction 16.2 Methodologies 16.3 Experimental Setup and Design 16.4 The In-Process Surface Roughness Recognition Systems ... Winnebago Co. in Forest City;Delavan Inc. in Des Moines; Sauer-Sundstrand Inc. in Ames), point to the feasibility of in-process surfaceroughness recognition (ISRR) systems for implementation...
... travel information system at LIMSI The ARISE (Automatic Railway Information Systems for Europe) projects aims developing prototype telephone information services for train travel information ... for spontaneous speech recognition One of the most important issues forspeech recognition is how to create language models (rules) for spontaneous speech. When recognizing spontaneous speech ... 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 ...
... 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 ... Cristoforetti, L., Geutner, P., Giacomini, A., Gretter, R., et al. Use of Multiple Speech Recognition Units in a In-car Assistance Systems, chapter in "DSP for Vehicle and Mobile Systems", ... 2 Background Automatic speechrecognition systems convert a speech signal into a sequence of words, usually based on the Hidden Markov...
... This is beneficial for testing differentdialogs easily and allows for seamless customization ofthe system: a dialog for a user in a nursing home (whomight want to be prompted for the nursing ... Sphinx-4: a flexible open source framework for speech recognition. Sun Microsystems 2004.28. Lopez M, Bergasa L, Barea R, Escudero M: A navigation system for assistant robots using visually augmented ... acousticmodel for large vocabulary continuous speech recognition. Eurospeech 2001; September 3–7; Aalborg, Denmark 2001:1657-1660.33. Konuma T, Kuwano H, Watanabe Y: A study of the elder speech recognition. ...
... not for citation purposes)Our system is described in Figure 2 and specification ofthe components is illustrated in Table 2.Overview of Vision-based Control System The proposed controlsystem ... http://www.jneuroengrehab.com/content/6/1/33Page 5 of 17(page number not for citation purposes)The overall architecture of the proposed control systemFigure 3The overall architecture of the proposed control system. Journal of NeuroEngineering ... 17(page number not for citation purposes)Face and mouth recognition resultsFigure 11Face and mouth recognition results. (a) face inclination recognitions, (b) mouth shape recognitions. Journal...