artificial neural network in speech recognition
Tài liệu Báo cáo khoa học: "A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co-occurrence" pptx
... errors. In integrating recognition and translation into a speech translation system, the development of the following processes is therefore important: (1) detection of errors in speech recognition ... the string including errors from the String- Database (the former string is referred to as the Similar-String, and the latter as the Error-String). Finally, the correction is made using the ... error-block in the Error-String, am found in the Similar- String, take out the string (denoted C) between A and B in 1 For detecting errors in Japanese sentences, the method using the probability...
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Tài liệu Báo cáo khoa học: "A Finite-Slate Parser for Use in Speech Recognition" pdf
... of/d/before/y /in didyou (5b) Reduction of unstressed/u/to schwa in) ,~u (5c) Flapping of intervocalic /t/ in hit. it (5d) Reduction of schwa and devoicing of/u /in to (5e) Reduc:ion of geminate/t /in ... of finite-state parsing techniques at the phonetic level in order to exploit certain classes or" contextual constraints. -In the second section, the parsing framework is extended in order ... lable, in W. Dressier (ed.) Phonologica 1980. Proceedings of the Fourth International Phonology Meeting 1981. 15. Kiparsky, P., Metrical Structure, Assignments in Cyclic, Linguistic Inquiry,...
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Báo cáo khoa học: "FACTORIZATION OF LANGUAGE CONSTRAINTS IN SPEECH RECOGNITION" pptx
... ambiguity in finding the best matching string. The performance can further be improved if the acoustic matching information used in the recognition process is incorporated into the language decoding ... operations grows linearly with the number of arcs in the decoding network. As the overall number of arcs in the decoding network is a linear function of the number of ares in the syntactic network, ... obtained by expanding all the non-terminals into the corresponding vocabulary words and each word in terms of phonetic units. Finally a matching between the string of phones describing the...
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Báo cáo khoa học: "Correcting errors in speech recognition with articulatory dynamics" pot
... splitthe data into 90% training and 10% testing sets for5-cross validation. MOCHA and TORGO data arenever combined in a single training set due to dif-fering EMA recording rates. In all cases, ... component takes into account var-ious physiological aspects of human speech production, including intergestural and in- terarticulator co-ordination and timing (Namand Saltzman, 2003; Goldstein and ... it is also useful within speech recognition. We have overcome a conceptual impediment in integrating task dynamics and ASR, which is theformer’s deterministic nature. This integration isaccomplished...
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Báo cáo khoa học: "Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recognition" potx
... Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recognition Klaus Zechner and Alex Waibel Language Technologies Institute ... putting efforts into further training. ã alternative language models: An idea for im- provement here is to integrate skipped words into the LM (similar to the modeling of noise in speech) . ... 1996). Since we cannot build on semantic knowledge for constructing parsers in the way it is done for lim- ited domains when attempting to parse spontaneous speech in unrestricted domains, we...
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Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks
... for predicting proper strain rate involved three phases First, data collection phase involved gathering the data for use in training and testing the neural network. A large training data reduces ... of under-sampling the nonlinear function, but increases the training time. To improve training, preprocessing of the data to values between 0 and 1 was carried out before presenting the patterns ... squared error over all the training patterns was minimized. Experiment were carried out using a number of combinations of input parameters to determine the neural network model that gave the...
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Vietnamese Speech Recognition and Synthesis in Embedded System Using T-Engine
... layout III. PROPOSED METHOD FOR SPEECH RECOGNITION IN T-ENGINEFig.2. Speech recognition in T-EngineThe UDA1342 audio codec in T-Engine provides a minimal sampling frequency (SF) of 44100Hz. ... of speech engines. Finally, we demonstrate a human-computer interaction software in T-Engine embedded system.I. INTRODUCTION In this paper, we are concerned with the combination of speech recognition ... as follows. In Section 2, a short introduction of T-Engine is given, while a method proposed for speech recognition in T-Engine is provided in Section 3, following is Vietnamese speech synthesis...
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Tài liệu Neural Network Applications in Intelligent doc
... leadscrew grinding processusing neural networks, Computers in Industry, 23, 169, 1993. 86. Chen, J. S., Neural network- based modeling and error compensation of thermally-induced spindleerrors, International ... theuse of neural networks is still constrained to simulations on sequential computing machines. Traininga large network using a sequential machine can be time-consuming. Fortunately, training usually ... types of neural networks included ART networks, Hopfield networks, and SOM neural networks. Weaknesses of neural networks for modeling and design of manufacturing systems result from neural networks...
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Báo cáo khoa học: "Dependencies between Student State and Speech Recognition Problems in Spoken Tutoring Dialogues" ppt
... Detecting Certainness in Spoken Tutorial Dia-logues. In Proc. of Interspeech. D. Litman and K. Forbes-Riley. 2004. Annotating Student Emotional States in Spoken Tutoring Dia-logues. In Proc. ... observed in human-human conversations through a noisy speech channel (Skantze, 2005). Correctness/certainty–SRP interactions We also find an interesting interaction between correctness/certainty ... its success. In our case, if we look at affect (FAH) or attitude (CERT) in isolation we find many interactions; in contrast, combining them offers little insight. 6 Results – insights &...
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Báo cáo khoa học: "WordNet-based Semantic Relatedness Measures in Automatic Speech Recognition for Meetings" doc
... Laprun.2005. The rich transcription 2005 spring meeting recognition evaluation. In Rich Transcription 2005Spring Meeting Recognition Evaluation Workshop,Edinburgh, UK.Jay J. Jiang and David W. ... prediction in conversational speech. In IWCS6, Sixth International Workshop on Computational Se-mantics, Tilburg, Netherlands.H Schmid. 1994. Probabilistic part-of -speech taggingusing decision ... were used for therescoring of N -best lists. It was shown that speech recognition of multi-party meetings cannot be im-proved compared to a 4-gram baseline model, whenusing WordNet models.One...
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Báo cáo khoa học: "LEXICAL ACCESS IN CONNECTED SPEECH RECOGNITION" pptx
... warranted because the resulting system will be considerably more robust in the face of inacct~rate or indeterminate input concerning the nature of the weak syllables in the input utterance. CONCLUSION ... distinguish word.initial/I/ in/ 17/fzom word-inlernal /I/ in /hid/? In this paper, I shall argue for a model which splits the lexical access process into a pre-lexical phonological parsing ... are intended to select the correct word from the cohort. The bulk of engineering systems for speech recognition have finessed the issues of lexical access and word recognition by attempting...
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Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf
... should be divided into several sets (training, testing, production, on-line, remaining). The training set is used to adjust the interconnection weights of the MPNN model. The testing set is used ... local minimum far from the global one. During the learning process, the network should be periodically tested on the testing set (not included in the training set) www.intechopen.com Artificial ... perceptron neural network (Božnar et al, 1993), but in the following years we use an artificial neural networks in several other applications that differ very much each another. In this article we intend...
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