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Posterior features applied to speech recognition tasks with user
POSTERIOR FEATURES APPLIED TO SPEECH RECOGNITION TASKS ... the vocabulary is completely defined by the user and a proper pho- netic transcription ...
[ Aradilla_ICASSP_2009.pdf - Read/Download File

Posterior-based Sparse Representation for Automatic Speech
... recognition tasks. Index Terms: speech recognition, posterior feature, sparse rep- ..... 1995, pp. 101–104. [18] G. Aradilla, H. Bourlard et al., “Posterior features applied to speech recognition tasks with user-defined vocabulary,” in Acous-.
[ Bahaadini_INTERSPEECH_2014.pdf - Read/Download File

posterior features - Idiap Publications - Idiap Research Institute
Index Terms— Speech recognition, template-based approach, posterior features. 1. ... based features on both small vocabulary task and medium vocabu- lary task .... In this section, we define the different tasks studied and the estima- tors used for .... rior Features Applied to Speech Recognition Tasks with User-. Defined ...
[ Soldo_ICASSP_2011.pdf - Read/Download File

Full Paper - MIT Lincoln Laboratory
vocabulary continuous speech recognition (LVCSR) approach are common and ... the query-by-example approach the user selects audio snippets containing a ...
[ 2009_12_13_Hazen_ASRU_FP.pdf - Read/Download File

Speech Recognition by Machine: A Review - arXiv.org
recognition, classifiers, feature extraction, performance evaluation, Data base. I. INTRODUCTION. A. Definition of speech recognition: Speech Recognition (is ...
[ 1001.2267 - Read/Download File

Confidence Measurement Techniques in Automatic Speech
3.2 Confidence Predictor Features . ... 3.4 Posterior Probability as Confidence Measure . .... restrictions of current automatic speech recognition (ASR) systems and ... hypothesis of possible candidates defined in the dictionary or grammar for a ... large vocabulary systems. ... to all necessary user tasks via the speech HMI. 2 ...
[ fabian.pdf - Read/Download File

Deep Neural Networks for Acoustic Modeling in Speech Recognition
Apr 27, 2012 ... with “tandem” or bottleneck features generated using neural ... then applied to five different large vocabulary, continuous speech ... GMM-HMM systems and on some of the tasks they outperformed the .... a single set of parameters, W, to define the joint probability of a vector .... The posterior probabilities.
[ 38131.pdf - Read/Download File

AN ARTICULATORY FEATURE-BASED TANDEM APPROACH AND
and appended the posterior features to some standard feature hidden Markov ... performance im- provements for large vocabulary speech recognition of En-.
[ Cetin_icassp07_tandem.pdf - Read/Download File

An Overview of Modern Speech Recognition - Microsoft
The task of speech recognition is to convert speech into a sequence of words by a computer ... The semantics and functions related to an operation a user may wish to ... that has the maximum posterior probability for the input feature vectors. ... In an isolated-word speech-recognition system that has anN-word vocabulary,  ...
[ Book-Chap-HuangDeng2010.pdf - Read/Download File

Discriminative Training for Large-Vocabulary Speech Recognition
result of discriminative training based on MCE training applied to. HMMs, in ... 100 k word) speech recognition tasks: the Corpus of Spontaneous ... feature extraction, pronunciation modeling, acoustic modeling, .... In contrast, by definition, MCE approximates classification ..... (though initialized uniformly at a user-determined. ) ...
[ McDermott2007IEEETASLP03.pdf - Read/Download File

Confidence Estimation for Automatic Speech Recognition Hypotheses
Automatic speech recognition (ASR) systems produce transcriptions for audio ... estimation model, novel predictor features indicative of the quality of ASR ... state CRF for this task yields even larger relative gains of up to 48.6 . ...... are typically defined as those in which vocabulary sizes of over 10000 words are considered.
[ seigel_thesis.pdf - Read/Download File

Confidence measures for speech recognition: A survey - CiteSeerX
In speech recognition, confidence measures (CM) are used to evaluate reliability of recognition results. ... posterior probability, and CM as utterance verification.
[ Jiang_sc05.pdf - Read/Download File

Zero-resource audio-only spoken term detection based - HAL-Inria
Aug 8, 2011 ... tomatic speech recognition (ASR) paradigms, whose founding principles are ... based phone posterior features, and French phonetic posterior- grams. ..... tures applied to speech recognition tasks with user-defined vocab-.
[ document - Read/Download File

Speech recognition with segmental conditional random fields
the workshop was to improve on state-of-the-art speech recognition systems by using ... Street Journal tasks. .... lattices can be annotated with user-defined word- level features. 3.1. ... on the nov92 20k open vocabulary test set using the default trigram. LM. ... Phoneme posterior probabilities estimated using Multi-Layer Per-.
[ icassp2011_scarf.pdf - Read/Download File

Recognition of Spontaneous Hungarian Speech without Language
The next step in achieving LVCSR (Large Vocabulary Continuous Speech .... were defined since these problems are considered as the most challenging ones (apart ... applied). Static energy feature was suppressed in the telephone features ... used in the isolated word recognition tasks for both the well matched and the.
[ thesis_booklet.pdf - Read/Download File

Automatic Speech Recognition: From the Beginning to the
Among all speech tasks, automatic speech recognition (ASR) has been the focus ... In this section the speech recognition problem is mathematically defined and some .... Some of the most used methods for signal processing and feature ... dependent ones (no training required for the user), some speaker-independent ASR.
[ Adami.pdf - Read/Download File

[inria-00597907, v1] Zero-resource audio-only spoken term - Quaero
Aug 8, 2011 ... tomatic speech recognition (ASR) paradigms, whose founding principles are ... based phone posterior features, and French phonetic posterior- grams. ..... tures applied to speech recognition tasks with user-defined vocab-.
[ muscariello_zero-resource_interspeech11.pdf - Read/Download File

Improving Speech Recognition through Linguistic - ETH TIK
5.3.1 Definition of Word Lattice and Word Graph . . . 70 ... 5.3.3 Forward- Backward Posterior Pruning . .... Length of a sequence of feature vectors or observations ... duce precise linguistic knowledge into a medium vocabulary continuous ... continuous speech recognition dictation task due to a non- stochastic .... user friendly.
[ Beutler:07_diss.pdf - Read/Download File

Speech Recognition Techniques for Languages with Limited
very intense with our new task as parents and the final stage of our PhD theses about ..... relied on speech recognition techniques with an utterance-based vocab - ulary. ..... user of a system will define his own vocabulary by uttering each word one or .... since every feature corresponds to the posterior probability of a given.
[ Gerber:11_diss.pdf - Read/Download File

an articulatory feature-based tandem approach and factored
and appended the posterior features to some standard feature hidden Markov model ... provements for large vocabulary speech recognition of En- ... We use SVitchboard, a set of reduced-vocabulary tasks de- rived from ... user-defined questions and variables. ... logarithm, the principal component analysis (PCA) is applied.
[ cetin_icassp07.pdf - Read/Download File

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