acss for styling speech output
Tài liệu Báo cáo khoa học: "Web augmentation of language models for continuous speech recognition of SMS text messages" docx
... rates were 17.0 for English, 18.7 for Spanish, and 22.5 for French For English, we also created web mixture models with KN smoothing The error rates were 16.5, 15.9 and 15.7 for the 20 MB, 40 ... (Section 2.2.1) for the same number of queries Also results from language modeling and speech recognition experiments favored statistical querying 2.3 Web collections obtained For the speech recognition ... data The speech data was partitioned into training and test sets, such that around one fourth of the speakers were reserved for testing We use a continuous speech recognizer optimized for low...
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Báo cáo khoa học: "A Risk Minimization Framework for Extractive Speech Summarization" doc
... A risk minimization framework for information retrieval Information Processing & Management, 42, (1): 31 - 55 ChengXiang Zhai Statistical language models for information retrieval Morgan & Claypool ... Tomonori Kikuchi, Yousuke Shinnaka and Chiori Hori 2004 Speech- to-text and speechto -speech summarization of spontaneous speech IEEE Transactions on Speech and Audio Processing, 12, (4): 401 - 408 Michel ... can also be presented in speech form (besides text form) such that users can directly listen to the audio segments of the summary sentences to bypass the problem caused by speech recognition errors...
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Báo cáo khoa học: "Grounded Language Modeling for Automatic Speech Recognition of Sports Video" doc
... 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 can also provide useful information for representing non-linguistic context We use boosted decision trees to classify audio into segments of speech, excited _speech, cheering, and music Classification ... http://cmusphinx.sourceforge.net/html/cmusphinx.php 127 Precision of Information Retrieval One of the most commonly used applications of ASR for video is to support information retrieval (IR)...
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Báo cáo khoa học: "Attention Shifting for Parsing Speech ∗" pdf
... stage (where lexical information is available) We achieve this by ensuring that for each path in the word-lattice the first-stage parser posits at least one parse Parsing speech word-lattices P ... W ) = P (A|W )P (W ) (1) The noisy channel model for speech is presented in Equation 1, where A represents the acoustic data extracted from a speech signal, and W represents a word string The ... modeling techniques that perform complete parsing, meaning that parse trees are built upon the strings in the word-lattice 2.1 n–best list reranking Much effort has been put forth in developing efficient...
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Báo cáo khoa học: "Position Specific Posterior Lattices for Indexing Speech" pot
... standard forward-backward algorithm can be employed for performing this computation The computation for the backward pass stays unchanged, whereas during the forward pass one needs to split the forward ... answer The position information needed for recording a given word hit is not readily available in ASR lattices — for details on the format of typical ASR lattices and the information stored in ... spontaneous speech In Proceedings of ICASSP, Montreal, Canada Matthew A Siegler 1999 Integration of Continuous Speech Recognition and Information Retrieval for Mutually Optimal Performance Ph.D...
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convolutional networks for images speech and handbook-convo
... interpretations of the output Hidden Markov Models (HMM) or other graph-based LeCun & Bengio: Convolutional Networks for Images, Speech, and Time-Series methods are often used for that purpose (see SPEECH RECOGNITION, ... in-between output may be empty or contain garbage The outputs can be interpreted as evidence for the categories of object centered at di erent positions of the input eld A post-processor is therefore ... respect to translations, or LeCun & Bengio: Convolutional Networks for Images, Speech, and Time-Series local distortions of the inputs Before being sent to the xed-size input layer of a neural net,...
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Báo cáo hóa học: " Research Article On the Soft Fusion of Probability Mass Functions for Multimodal Speech Processing" ppt
... is suitable for multiple hypothesis testing (MHT) like problems in speech processing, namely audio-visual speech recognition These soft belief functions are then used for multi-modal speech processing ... with 5.3.1 Speech- Based Unimodal Speaker Diarization The BIC (bayesian information criterion) for segmentation and clustering based on MOG (mixture of gaussian) is used for the purpose of speech- based ... used for performance evaluation Figure 13 illustrate the separability analysis results as the BD versus the feature dimension for both unimodal (speech only & video only) and multi-modal (speech...
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Báo cáo hóa học: " Research Article Drift-Compensated Adaptive Filtering for Improving Speech Intelligibility in Cases with Asynchronous Inputs" pdf
... interval For the sake of reducing implementation complexity, a small value for I is beneficial It is then necessary to find a smallest I without sacrificing the perceptible cancellation performance ... the performance degradation Fortunately, wow-and-flutter is virtually nonexistent with modern digital devices 60 40 20 0 −5 −10 −15 Input SIR (dB) 3.3 Subjective Evaluation To assess the performance ... test cases The authors would also like to thank Dr Bradford Gover, of the Institute for Research in Construction, National Research Council, for organizing the subjective evaluation and analyzing...
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báo cáo hóa học:" Research Article Compact Acoustic Models for Embedded Speech Recognition" pot
... Starting from a classical HMM-based model for speech, we study how the number of Gaussians impacts the system performance A first set of experiments is performed on the clean corpus BDSON Table presents ... allows to adapt globally the state-independent GMM for a given state, using a unique and simple transformation This transformation (which is common for both the mean and the variance) is a linear ... Conference on Speech Communication and Technology (Eurospeech ’99), pp 1515–1518, Budapest, Hungary, September 1999 [10] J Park and H Ko, “Achieving a reliable compact acoustic model for embedded speech...
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Báo cáo hóa học: " Research Article Likelihood-Maximizing-Based Multiband Spectral Subtraction for Robust Speech Recognition" pot
... performed on the speech signal for extracting feature vectors, that is, the acoustic likelihood of the speech signal is influenced by the α vector Therefore, obtaining a closedform solution for ... noisy speech SS divides the speech utterance into speech and nonspeech regions It first estimates the noise spectrum from nonspeech regions and then subtracts the estimated noise from the noisy speech ... the oversubtraction factor for the whole speech spectrum Real world noise is mostly colored and does not affect the speech signal uniformly over the entire spectrum Therefore, this suggests the use...
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Báo cáo hóa học: " Research Article Towards an Intelligent Acoustic Front End for Automatic Speech Recognition: Built-in Speaker " pot
... warps directly from the speech signal, the difficulty of estimating the third formant reliably even for clean speech is apparent, as some speakers may not even have clear third-formant locations EURASIP ... Wi β (9) Obtaining a closed-form solution for β is difficult since the frequency warping corresponds to a highly nonlinear transformation of the speech features Therefore, the best warp is estimated ... 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 for environmental...
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Báo cáo hóa học: " Research Article Compensating Acoustic Mismatch Using Class-Based Histogram Equalization for Robust Speech Recognition" pdf
... normalization for noise robust speech recognition,” Speech Communication, vol 25, no 1–3, pp 133–147, 1998 [5] C Kermorvant, “A comparison of noise reduction techniques for robust speech recognition,” ... nonlinear feature space transformation Therefore, we only deal with HEQ utilizing empirical CDFs for CDF matching in this paper and its detailed descriptions are given as follows For given random reference ... noisy speech representations differ from those of clean reference speech ones Thus, it focuses more on speech than noise in the compensation of the acoustic mismatch On the contrary, most speech...
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Báo cáo hóa học: "Research Article Model Compensation Approach Based on Nonuniform Spectral Compression Features for Noisy Speech Recognition" docx
... the clean speech utterances to produce clean models and corrupted speech for the matched case In the testing, the ten speech recognition methods as listed in Table are used for the performance ... Testing Recognition result Speech recognition αk MC-SNSC Clean speech HMMs Noise HMMs Clean speech MFCC feature extraction Model training Training Figure 2: Processing stages for MC-SNSC approach log-spectral ... independent of the speech The notations for the description of variables in the paper are defined as follows The superscripts (l) mean the Geng-Xin Ning et al Clean speech Corrupted speech MFCC feature...
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Báo cáo hóa học: " Subspace Methods for Multimicrophone Speech Dereverberation" docx
... method as explained in [9] Results for the Subspace Methods for Multimicrophone Speech Dereverberation speech- like input are depicted in Figures 12 and 13 for SNR levels of 45 dB and 35 dB, respectively ... noise, speech- like noise (white signal colored to have a speech- like spectrum, drawn from the NOISEX-92 database [21]), or a real speech signal comprised of a concatenation of several speech ... thus clearly indicated Results for the suboptimal QRD-based algorithm are depicted in Figure 10 for the speech- like input and an SNR level of 45 dB, and in Figure 11 for a white noise input and...
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TEXT MINER FOR HYPERGRAPHS USING OUTPUT SPACE SAMPLING
... natural form of storing and communicating information is in text format Natural language processing has wide range of applications including translating information from machine readable format ... 541 Time taken for checking for new documents Time taken for calculating weights Time taken for calculating associations Total time taken 4.2 Frequent Itemset Mining We compared our Output space ... Figure Output Space Sampling 26 Figure Sample hypergraph for proteins 36 vii ABSTRACT Tirupattur, Naveen M.S., Purdue University, May, 2011 Text Miner for Hypergraphs using Output...
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Grammar and Vocabulary for Cambridge Advanced and Proficiency - Reported speech
... one said (4) been a kind of model for him, (5) (6) rather nice The managing director made a speech at lunchtime, the usual gushing stuff about al1 (7) done for the firm, how much had (8) to ... to know why (not come) home the night before g Nikos asked if (ever visit) Thessaloniki before h The teacher wanted to know if (can take) his class for him that evening Report what the assistant ... sentence printed before it EXAMPLE: that's right I've booked a room for 'Yes, two nights,' said the man on the telephone The man on the telephone confirmed t h a t he had booked a room for t w o n i...
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