Temporally varying weight regression for speech recognition
Temporally varying weight regression for speech recognition
... “Multi-stream Temporally Varying Weight Regression for Cross-lingual Speech Recognition, ” published in ASRU 2013 Shilin Liu, Khe Chai Sim “An Investigation of Temporally Varying Weight Regression for Noise ... Temporally Varying Weight Regression for Speech Recognition 3.1 Introduction 3.2 Temporally Varying Weight Regression ... for Noise Ro...
Tài liệu Báo cáo khoa học: "Discriminative Syntactic Language Modeling for Speech Recognition" pdf
... Frederick Jelinek 2000 Structured language modeling Computer Speech and Language, 14(4):283–332 Ciprian Chelba 2000 Exploiting Syntactic Structure for Natural Language Modeling Ph.D thesis, The Johns ... advocated in Rosenfeld et al (2001), which used Maximum Entropy modeling to allow for the use of shallow syntactic features for language modeling A second contrast...
Báo cáo khoa học: "A Preference-first Language Processor Integrating the Unification Grammar and Markov Language Model for Speech Recognition-ApplicationS" potx
... to form a complete speech recognition system The language processor consists of a language model and a parser The language model properly integrates the unification grammar and the Markov language ... sentence hypotheses The Laneua~e Model The goal of the language model is to participate in the selection of candidate constituents for a sentenc...
Báo cáo khoa học: "Practical Issues in Compiling Typed Unification Grammars for Speech Recognition" ppt
... basic issues involved in compiling typed unification grammars to context-free grammars remain the same across formalisms We will be studying the compilation process to convert typed unification grammars ... Process Typed Unification Grammars Typed Unification Grammars (TUG), like HPSG (Pollard and Sag 1994) and Gemini (Dowding et al 1993) are a more expressive form...
Báo cáo hóa học: " Research Article Phoneme and Sentence-Level Ensembles for Speech Recognition" pot
... also included There were 10 Gaussians per state and states per phoneme for all models for the tasks of phoneme classification and speech recognition For the latter problem, we also examine the relative ... resulting phoneme classification models for continuous speech recognition is not straightforward, we describe some techniques for combining the ensembles resulting f...
Báo cáo hóa học: " Research Article A New Bigram-PLSA Language Model for Speech Recognition" potx
... the bigram-PLSA models an unfair advantage by allowing them to adapt the model parameters to the test data Nevertheless, we applied it to avoid overfitting To have a valid comparison, the PLSA and ... the PLSA model and the bigram model are also shown The bigram and trigram language models were trained by the training data discussed above and the Katz backoff smoothing method [17] w...
báo cáo hóa học:" Decision tree-based acoustic models for speech recognition" potx
... Decision tree-based acoustic models for speech recognition Masami Akamine*1 and Jitendra Ajmera2 Toshiba Corporate R&D ... proposes a new acoustic model using decision trees (DTs) as replacements for Gaussian mixture models (GMM) to compute the observation likelihoods for a given hidden Markov model state in a speech recognition ... context-dependent acoustic space E...
Context dependent acoustic modelling for speech recognition
... each context The question of how to achieve a good trade-off thus becomes the main consideration for various context dependent modelling 1.3 Context- Dependent Acoustic Modelling schemes For the ... neighbouring contexts Table 1.1 shows several types of context dependent models for the phrase “go to”: Table 1.1: Context modelling with different context lengths...
Tài liệu Báo cáo khoa học: "Learning Sub-Word Units for Open Vocabulary Speech Recognition" doc
... produce a lexicon of sub-word units that can be used by a hybrid system for open vocabulary speech recognition Rather than relying on the text alone, we also utilize side information: a mapping ... regions by the learned sub-words compared to the baseline Table shows the percent of Hits: sub-word units predicted in OOV regions, and False Alarms: sub-word units predicted f...
Tài liệu Báo cáo khoa học: "Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data" ppt
... modelling for automatic lecture transcription In Proc 10th EuroSpeech / 8th InterSpeech, pages 2353–2356 H Nanjo and T Kawahara 2003 Unsupervised language model adaptation for lecture speech recognition ... applications to automatic speech recognition IEEE Trans Speech and Audio Processing, 13(4):504–511 E K Ringger and J F Allen 1996 Error correction via a post-processor f...
Tài liệu Báo cáo khoa học: "A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co-occurrence" pptx
... string including errors, and the other is the corresponding correct string (the former string is referred to as the ErrorPart, and the latter as the Correct-Part respectively) These parts ... denotes the length of the input string Step 2: Take the string (Error-String) that comprises an error-block and each M (5 in the experiment) character before and after the err...
Tài liệu Báo cáo khoa học: "A Finite-Slate Parser for Use in Speech Recognition" pdf
... decomposed into [~'t][slzl In grammar and produces as output a chart like that below, indicating the this way standard chart parsing techniques can be adopted to process starting point and ending point ... point of each phrase in the input string allophonic and phonotactic constraints, if the constraints are reformulated in terms of a grammar lnput~ Sentenc(l: They t are flying planes H...
Tài liệu Báo cáo khoa học: "Web augmentation of language models for continuous speech recognition of SMS text messages" docx
... empirical study of smoothing techniques for language modeling Computer Speech and Language, 13:359–394 Joshua T Goodman 2001 A bit of progress in language modeling Computer Speech and Language, 15:403–434 ... N-gram language models are then trained separately on the in-domain text and the the filtered web text If the amount of web text is very large, only a subset i...
Báo cáo khoa học: "Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition" ppt
... Ney 2005 Open Vocabulary Speech Recognition with Flat Hybrid Models INTERSPEECH-2005, 725–728 Janne Pylkkönen 2005 An Efficient One-pass Decoder for Finnish Large Vocabulary Continuous Speech Recognition ... General Computational Model for Word-Form Recognition and Production University of Helsinki, Helsinki, Finland Tanel Alumäe 2006 Methods for Estonian Large Vocabulary...
Báo cáo khoa học: "Grounded Language Modeling for Automatic Speech Recognition of Sports Video" doc
... ContextAware Multimodal System for Spoken Language Processing Proc Eurospeech, pages Ponte, J.M., and Croft, W.B (1998) A Language Modeling Approach to Information Retrieval In Proc of SIGIR’98 Roy, D (2005) ... based language model (absolute WER reduction of 3.7%; absolute accuracy increase of 5.9%) http://cmusphinx.sourceforge.net/html/cmusphinx.php 127 Precision of Inform...
Từ khóa:
- automatic speech recognition for meetings
- improving automatic speech recognition for lectures
- learning sub word units for open vocabulary speech recognition
- unsupervised language model adaptation for lecture speech recognition
- tazti speech recognition software for windows 7 free download
- speech recognition software free download for windows 7 64 bit
- speech recognition software free download for windows 7 32 bit
- tazti speech recognition software for windows 7 full version free download
- automatic speech recognition system dedicated for polish