accents in conversational speech
Báo cáo khoa học: "Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech" pptx
... CRF:All in Table5). We get about 0.5% increase in accuracy, 76.1%with a window of size w = 1.Using larger windows resulted in minor increases in the performance of the model, as summarized in Table ... 17th International Conference on MachineLearning.A. McCallum. 2003. Efficiently inducing featuresof Conditional Random Fields. In Proc. of Un-certainty in Articifical Intelligence.T. Minka. ... understanding. In this paper we investigate probabilistic, contex-tual, and phonological factors that in uence pitchaccent placement in natural, conversational speech in a sequence labeling setting....
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Tài liệu Báo cáo khoa học: "Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies" docx
... monitor-ing levels of agreement during a conversation. In Proc. of the 26th Penn Linguistics Colloquium.M. Collins. 2000. Discriminative reranking for nat-ural language parsing. In Proc. 17th Interna-tional ... Entropy RankingWe view the problem as an instance of statisti-cal ranking, a general machine learning paradigmused for example in statistical parsing (Collins,2000) and question answering (Ravichandran ... several empirical analyses in or-der to determine to what extent contextual informa-tion helps in discriminating between agreement anddisagreement. By integrating the interpretation ofthe pragmatic...
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Tchon 12. COMMANDS, REQUESTS AND ADVICE IN REPORTED SPEECH.doc
... SPEECH Imperatives Direct speech Indirect speech AffirmativeImperativeV1 + ……Mike said to Henry, “Come in, please.”S+ told / asked B + to + V1 + ……Mike told Mary to come in. NegativeImperativeDon’t ... Last week / year → The next/ following day→ The day before→ The following week/ year → The previous week / yearB. Practice: I. Change into reported speech: (Imperatives: Câu mệnh lệnh)1. ... She said to them, “Can you go fishing with me?” III. Change into reported speech: (Advice: Câu khuyên nhủ)11.The doctor said to the patient, “You should stay in bed today.” 12.The teacher...
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Tài liệu Báo cáo khoa học: "Modeling Latent Biographic Attributes in Conversational Genres" pptx
... training data and the ngram-based modelwas retrained on the remaining subset.Figure 2: Empirical differences in sociolinguistic featuresfor Gender on the Switchboard corpus6 Incorporating ... speakers usedfor training and 100 speakers used for testing, re-sulting in a total of 4062 conversation sides fortraining and 808 conversation sides for testing.4 Modeling Gender via Ngram ... conversation, resulting in thesame number of training/test speakers as conver-sations, and thus there was no overlap in speak-ers/partners between training and test sets. Onlynon-lexical sociolinguistic...
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Báo cáo khoa học: "Transparent combination of rule-based and data-driven approaches in a speech understanding architecture" pot
... The decoding pro-cess proceeds as follows:3.1 Training and decodingTraining data for ALTERF is supplied in the formof a text file containing one example per line, in the format1. Initialise ... features.•Quantity of training data.•Modality (text or speech) of training data.We randomly divided the training corpus intoten equal pieces, and trained on subsets rangingfrom 10% of the corpus ... Percentage semantic interpretation errorson in- domain test data for different amounts oftraining data and different versions of the system.Training and test data both in speech form. "Data"=...
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Báo cáo khoa học: "Reconstructing false start errors in spontaneous speech text" ppt
... utterances used in training. In some experiments (#1 and 2) wetrained with the entire training set3, including sen-tences without speaker errors, and in others (#3-6)we trained only on those ... Jelinek. 2008. Linguis-tic resources for reconstructing spontaneous speech text. In Proceedings of the Language Resources andEvaluation Conference, May.Erin Fitzgerald. 2009. Reconstructing ... ig-nored for these error tagging experiments.We approach our training of CRFs in severalways, detailed in Table 3. In half of our exper-iments (#1, 3, and 4), we trained a single modelto predict...
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Báo cáo khoa học: "THE SIMULATION OF STRESS PATTERNS IN SYNTHETIC SPEECH" ppt
... examined in principle, but without going too deeoly into the code. 3.1 Sentence Processing Firstly, the user types in a sentence in normal English text, with word boundaries ind/cated in ... that an increase in intensity with no corresponding pitch increase was never- theless heard as a pitch raise. Interestingly enough, a drop in intensity was not heard as a drop in pitch, merely ... This is indeed true in a great number of cases, but by no means all, as pointed out by Bolinger (Bolinger 1958). For instance, consider the following phrase (taken to mean "do continue"):...
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Báo cáo khoa học: "WordNet-based Semantic Relatedness Measures in Automatic Speech Recognition for Meetings" doc
... prediction in conversational speech. In IWCS6, Sixth International Workshop on Computational Se-mantics, Tilburg, Netherlands.H Schmid. 1994. Probabilistic part-of -speech taggingusing decision ... information. In this paper the best performing measuresfrom (Pucher, 2005), which outperform baselinemodels on word prediction for conversational tele-phone speech are used for Automatic Speech ... taxonomy. In Proceedings of the International Conference on Re-search in Computational Linguistics, Taiwan.Ted Pedersen, S. Patwardhan, and J. Michelizzi. 2004.WordNet::Similarity - Measuring the...
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Báo cáo khoa học: "User Expertise Modelling and Adaptivity in a Speech-based E-mail System" doc
... Modelling and Adaptivity in a Speech- based E-mail System Kristiina JOKINEN University of Helsinki and University of Art and Design Helsinki Hämeentie 135C 00560 Helsinki kjokinen@uiah.fi ... speech- based dialogue systems, and to familiarize themselves to synthesized speech and speech recognizers, they had a short training session with another speech application in the beginning ... user expertise. While not entering into discussions about the limits of rule-based thinking (e.g. in order to model intuitive decision making of the experts according to the Dreyfus model), we...
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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 ... 'narrow' phonetic information is recovered from the signal, such as aspiration of M in/ rE/ and /tam/ in (1) in order m recoguise tim preceding syllable botmdsrles. It is only in. terms of this...
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Direct and Indirect speech acts in English
... speech acts motivated by indirect speech acts and finally indirect speech acts motivated by indirect speech acts. The proportion of individual types in the play is outlined in the following ... direct speech acts, indirect speech acts motivated by direct speech acts, direct speech acts motivated by indirect speech acts and finally indirect speech acts motivated by indirect speech ... interesting from the point of view of indirectness. The play contains four types of exchanges: direct speech acts motivated by direct speech acts, indirect speech acts motivated by direct speech...
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Vietnamese Speech Recognition and Synthesis in Embedded System Using T-Engine
... quality 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 ... 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. ... 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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- multilevel semantic analysis in an automatic speech understanding
- patterns in synthetic speech
- speech communication in the wild
- theories of interaction in speech
- use in speech recognition
- constraints in speech recognition
- using chunk based partial parsing of spontaneous speech in unrestricted domains
- disagreement in conversational speech
- adaptivity in a speechbased
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