techniques for noise robustness in automatic speech recognition

... Adaptive Training 349 13.4 Feature-Space Noise Adaptive Training 351 13.4.1 Experiments using fNAT 352 13.5 Model-Space Noise Adaptive Training 353 13.6 Noise Adaptive Training using VTS Adaptation ... 340 References 341 13 Acoustic Model Training for Robust Speech Recognition 347 Michael L. Seltzer 13.1 Introduction 347 13.2 Traditional Training Methods for Robust Speech Rec...

Ngày tải lên: 03/05/2014, 20:50

... information. In this paper the best performing measures from (Pucher, 2005), which outperform baseline models on word prediction for conversational tele- phone speech are used for Automatic Speech ... approach in language mod- eling for speech recognition cannot cope with long-term dependencies. Therefore (Bellegarda, 2000) proposed combining n-gram language mod- els, whic...

Ngày tải lên: 17/03/2014, 04:20

... ρ(r best , T ASR )) and the re- maining rules are scored on the transformed train- ing text. This ensures that the scoring and ranking of remaining rules takes into account the changes brought ... by partitioning each 50 minute lecture into a training and a test set, where the training set is smaller than the test set. As mentioned in the intro- duction, it is feasible to obtain manual tran...

Ngày tải lên: 20/02/2014, 07:20

... while visual information may be useful for distinguishing the latter error, it is unlikely to assist with the former. Thus, in the next section we examine an extrinsic evaluation in which grounded ... features in multiple streams within a moving time window. Any two features that occur within this window must be in one of seven temporal relations with each other (e.g. be- for...

Ngày tải lên: 17/03/2014, 02:20

... speaker dependent, before using it the speaker has to perform the training stage reading a predefined text 15-20 minutes long. It runs on an architecture composed by an IBM 3090 mainframe and a PC/AT ... parameters determined during the training; then it is necessary to evaluate the probability that the Mar._kov source for the word string W will emit the label string A, going from it...

Ngày tải lên: 01/04/2014, 00:20

... automatic speech recognition will continue to find applications, such as meeting/conference summarization, automatic closed captioning, and interpreting telephony. It is expected that speech ... make the speech recognition systems robust against acoustic and lingustic variation in speech. In this context, a paradigm shitt from speech recognition to understanding w...

Ngày tải lên: 20/02/2014, 18:20

... three individual systems received the same input, performed speech recognition, and sent the result to the master system. The EMR resolved inconsistencies by looking for agreement from the individual ... multiple speech recognizers in an effort to improve speech recognition, as discussed next. 2.1 Enhanced Majority Rules Barry (et al., 1994) took three different Automatic...

Ngày tải lên: 08/03/2014, 01:20

... call tuning), using the previ- ously trained prior for regularization. If we are un- able to find a match between features in the training and tuning datasets (for instance, if a word appears in the ... trained classifier to make predictions. 246 In the paradigm of inductive learning, (X train , Y train ) are known, while both X test and Y test are completely hidden during training tim...

Ngày tải lên: 23/03/2014, 17:20

... 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 ... 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...

Ngày tải lên: 24/03/2014, 02:20

... 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 ... K (2 in the experiment) characters before and after an 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 detect...

Ngày tải lên: 20/02/2014, 18:20