automatic speech recognition using matlab source code

... Workshop on Automatic Speech Recognition and Understand- ing (ASRU), pages 347354. C. Făugen, M. Kolss, D. Bernreuther, M. Paulik, S. Stăuker, S. Vogel, and A. Waibel. 2006. Open domain speech recognition ... of speech tagger. In Proc. 3rd Conf. on Applied NLP (ANLP), pages 152 – 155. P.R. Clarkson and Rosenfeld R. 1997. Statistical lan- guage modeling using the CMU-Cambridge Toolkit. In Proc. Eurospeech, ... AFNLP, pages 764–772, Suntec, Singapore, 2-7 August 2009. c 2009 ACL and AFNLP Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data Cosmin...

Ngày tải lên: 20/02/2014, 07:20

... Results of Speech Recognition: We used 4806 recognition results including errors, from the output of speech recognition (Masataki et al., 96; Shimizu et al., 96) experiment using an ATR ... Dialogue Speech Recognition using Cross-word Context Constrained Word Graphs. ICASSP 96, pp. 145-148, 1996. Y. Wakita et al., 97. Correct parts extraction from speech recognition results using ... the errors in the results of speech recognition to increase the performance of a speech translation system. This paper proposes a method for correcting errors using the statistical features...

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 ... read speech. However, the ultimate goal of automatic speech recognition is to extract the underlying messages of the speaker from the speech signals. Hence we need to model the process of speech...

Ngày tải lên: 20/02/2014, 18:20

... multiple speech recognizers in an effort to improve speech recognition, as discussed next. 2.1 Enhanced Majority Rules Barry (et al., 1994) took three different Automatic Speech Recognition ... enhance speech recognition, Speech Communi- cation, vol. 9, pp. 551-564, 1990. Young, S.R., Hauptmann, A.G. , Ward, W.H. , Smith, E.T. & Werner, P., High level knowledge sources in usable speech ... reduction (ROVER). In IEEE Workshop on Automatic Speech Recognition and Understanding, pp. 347–354, 1997. Furui, S., Recent progress in spontaneous speech rec- ognition and understanding,...

Ngày tải lên: 08/03/2014, 01:20

... our grounded language model on a speech recognition task using video highlights from Major League Baseball games. Results indicate improved per- formance using three metrics: perplexity, word ... 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). ... ties states is trained on this data using the Sphinx speech recognizer. 4 Figure 3 shows the WERs and accuracy for three ASR systems run using the Sphinx decoder with the acoustic model described...

Ngày tải lên: 17/03/2014, 02:20

... Language Resources and Evaluation (LREC2004), Lisbon, Portugal. Jerome Bellegarda. 2000. Large vocabulary speech recognition with multispan statistical language mod- els. IEEE Transactions on Speech ... 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, ... prediction in conversational speech. In IWCS 6, Sixth International Workshop on Computational Se- mantics, Tilburg, Netherlands. H Schmid. 1994. Probabilistic part-of -speech tagging using decision trees....

Ngày tải lên: 17/03/2014, 04:20

... AN AUTOMATIC SPEECH RECOGNITION SYSTEM FOR T! IE ITALIAN LANGUAGE Paolo D'Orta, Marco Ferretti, Alessandro ... Stefano 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 ... clearly not 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...

Ngày tải lên: 01/04/2014, 00:20

... advocates. Figure 2.1: Structure of a standard speech recognition system. Figure 2.2: Signal analysis converts raw speech to speech frames. raw speech signal analysis speech frames acoustic models frame scores sequential constraints word sequence segmentation time alignment acoustic analysis train train test train raw ... variability make speech recognition, even more than speech generation, a very complex problem. Yet people are so comfortable with speech that we would also like to interact with our computers via speech, ... automatic learning procedures were sought instead. 3. Statistical-based approaches, in which variations in speech are modeled statisti- cally (e.g., by Hidden Markov Models, or HMMs), using automatic...

Ngày tải lên: 28/04/2014, 10:18

... robustness in automatic speech recognition / Tuomas Virtanen, Rita Singh, Bhiksha Raj. p. cm. Includes bibliographical references and index. ISBN 978-1-119-97088-0 (cloth) 1. Automatic speech recognition. ... Multi-Talker Speech Recognition using Graphical Models 339 12.7.3 Noise Robust ASR using Non-Negative Basis Representations 340 References 341 13 Acoustic Model Training for Robust Speech Recognition ... Robustness in Automatic Speech Recognition usually shared by HMMs for different context-dependent phonemes according to groupings obtained through decision trees [8]. 2.4 HMM-Based Speech Recognition Having...

Ngày tải lên: 03/05/2014, 20:50

... recognition Full-class recognition Intra-class FSK recognition Intra-class QAM recognition Figure 10: False recognition probability versus number of symbols (inter-class recognition, full-class recognition, ... False recognition probability versus SNR. (a) Inter-class recognition (Case I). (b) Inter-class recognition (Case II). (c) Intra- class PSK recognition. (d) Intra-class FSK recognition. recognition ... intra-class QAM recognition, and Intra-class FSK recognition) . −10 −8 −6 −4 −20 2 4 0 0.05 0.15 0.25 0.35 0.1 0.2 0.3 SNR FRP Features selection using LDA Features selection using PCA Figure...

Ngày tải lên: 21/06/2014, 16:20

... patient’s speech intelligibility. 6. Automatic Speech Recognition System For objective measurement, an automatic speech recog- nition (ASR) system was applied. We use an automatic speech recognition ... existed to determine speech and voice outcome. Here, we present a new automatic objective measurement of speech quality based on automatic speech recognition (ASR). It quantifies speech intelligibility ... comparison between the automatic speech recognition system and the expert ratings, the mean rating of all human raters was taken Table 2: Results of the automatic recognition of the speech recordings:...

Ngày tải lên: 21/06/2014, 20:20

... Godino-Llorente Dysarthria is a motor speech disorder characterized by weakness, paralysis, or poor coordination of the muscles responsible for speech. Although automatic speech recognition (ASR) systems ... Parker, Automatic speech recognition with sparse training data for dysarthric speakers,” in Proceedings of the 8th European Conference on Speech Communication and Tech- nology (Eurospeech ’03), ... speech recognition, ” IEEE Transactions on Speech and Audio Processing, vol. 10, no. 7, pp. 460–471, 2002. [41] L. Gillick and S. J. Cox, “Some statistical issues in the comparison of speech recognition...

Ngày tải lên: 21/06/2014, 22:20

... front-end (PMVDR) for robust automatic speech recognition, ” Speech Communication, vol. 50, no. 2, pp. 142–152, 2008. [4] J. H. L. Hansen, “Analysis and compensation of speech under stress and noise ... Pel- lom, “Robust speech recognition in noise: an evaluation using the SPINE corpus,” in Proceedings of the 7th Euro- pean Conference on Speech Communication and Technology (EUROSPEECH ’01) , vol. ... 1999. [2]U.H.YapanelandJ.H.L.Hansen,“Anewperspectiveon feature extraction for robust in-vehicle speech recognition, ” in Proceedings of the 8th European Conference on Speech Communication and Technology (EUROSPEECH ’03),pp. 1281–1284, Geneva, Switzerland,...

Ngày tải lên: 22/06/2014, 00:20

... vector components are built. 4. AUDIO-VISUAL SPEECH RECOGNITION 4.1. Overview Figure 7 shows our bimodal speech recognition system using side-face images. Both speech and lip images of the side view ... Performance comparison of audio-visual speech recognition methods using frontal-face and side-face images In our previous research on audio-visual speech recognition using frontal-face images [9],LMVFswereusedasvisualfea- tures ... is well known that noisy speech recognition p erformance can be greatly improved by adapting audio HMM to noisy speech. In order to confirm that our audio-visual speech recognition method is still...

Ngày tải lên: 22/06/2014, 19:20

... the speech signals to their transcriptions using the Sphinx-3 speech recognition system, identifying nonspeech regions, and deriving SNR estimates Bhiksha Raj et al. 13 Automatic Speech Recognition: ... on speech recognition tasks in noise is extraordinary compared to state-of-the-art auto- matic speech recognition (ASR) systems [1]. One explana- tion is that the brain has amazing pattern recognition ... of deriving “feature representa- tions” for automatic speech recognition systems. While these models were found to perform comparably with a speech- recognition system implemented with conventional...

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Ngày tải lên: 13/08/2014, 02:21