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...

Ngày tải lên: 09/09/2015, 11:07

... 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...

Ngày tải lên: 21/06/2014, 20:20

... 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...

Ngày tải lên: 20/02/2014, 15:20

... 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...

Ngày tải lên: 08/03/2014, 07:20

... 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...

Ngày tải lên: 31/03/2014, 04:20

... 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...

Ngày tải lên: 21/06/2014, 05:20

... 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...

Ngày tải lên: 21/06/2014, 08:20

... “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...

Ngày tải lên: 09/09/2015, 11:31

... scoring first in the Information Gain rank, validating our central hypothesis The testing of the classifier using each of the above feature sets was performed on the remaining 25% of the Town-Info ... The approach is novel in combining User Simulations, machine learning, and n-best processing for spoken dialogue systems We employed a User Simulation model, trained on real dialogue...

Ngày tải lên: 31/03/2014, 20:20

... 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 ... whole acoustic space and subword units are separatly modelled At the upper level, a general GMM models the speech signal, state-dependent models being obtained by apply...

Ngày tải lên: 21/06/2014, 20:20

... the database of dysarthric speech, and some initial word recognition experiments In Section the approach of incorporating information from the speaker’s pattern of errors into the recognition process ... used for training The gain in recognition accuracy is also evident for high intelligibility speakers, as shown in Figure 17 Figure 17 is encouraging because, as commented...

Ngày tải lên: 21/06/2014, 22:20

... acoustic 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 ... even for clean speech is apparent, as some speakers may not even have clear third-formant locations EURASIP Journal on Audio, Speech, and Music Processing Acero [10] proposed a...

Ngày tải lên: 22/06/2014, 00:20

... 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,” ... Ney, “Quantile based histogram equalization for noise robust speech recognition,” in Proceedings of the 7th European Conference on Speech Communication and Technolo...

Ngày tải lên: 22/06/2014, 19:20

... 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...

Ngày tải lên: 20/02/2014, 04:20

... 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...

Ngày tải lên: 20/02/2014, 07:20