[PDF] Top 20 Clustered acoustic modelling in speech recognition
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Clustered acoustic modelling in speech recognition
... An acoustic model is created by taking audio recordings of speech and their text transcriptions, and using software to create statistical knowledge about the sounds that make up each ...the acoustic ... See full document
32
Modelling Segmental Variability for Automatic Speech Recognition
... The modelling needs to be applied to some phonetically-meaningful unit that is suited to modelling trajectories of feature ...different acoustic events (such as a stop release and a vowel) will be ... See full document
267
Developing a model of speech recognition process from an autopoietic approach
... the model of the speech recognition has three main components; namely a signal analysis engine, an acoustic modelling mechanism and a word matching function.. The signal analysis compone[r] ... See full document
5
Model adaptation and adaptive training for the recognition of dysarthric speech
... dysarthric speech in general, SAT and SI-03 sys- tems were not significantly ...dysarthric speech at an intra and in- ter speaker ...dysarthric speech can be better accommodated from modelling ... See full document
7
Advanced acoustic modelling techniques in MP3 speech recognition
... Additional dithering for PLP features, Table 3, yielded consistent improvement for the lowest 12-kbps rate and some improvement for the 16-kbps rate. Its application was particularly useful for baseline and LDA models, ... See full document
7
Compact Acoustic Models for Embedded Speech Recognition
... Speech recognition applications are known to require a significant amount of ...embedded speech recognition only authorizes few KB of memory, few MIPS, and small amount of training ... See full document
12
Using English Acoustic Models for Hindi Automatic Speech Recognition
... asymmetric acoustic modelling using selective decision tree merging between a bilingual model and an accented embedded speech model for Hindi and English multilingual speech recognition ... See full document
12
Combination of Multiple Acoustic Models with Multi-scale Features for Myanmar Speech Recognition
... automatic speech recognizer using deep convolutional neural networks ...in acoustic modelling for automatic speech recognition due to its ability of reducing spectral variations and ... See full document
10
Speech Recognition Using Backoff N-Gram Modelling in Android Application
... based acoustic modelling has become increasingly popular for modelling speech variations in large vocabulary speech ...the acoustic phonetic acquaintance of the objective ... See full document
7
Acoustic Model Optimization for Multilingual Speech Recognition
... an acoustic model with unbalanced training data for multilingual speech recognition is an interesting research ...well-trained acoustic model using a similarity ...further clustered the ... See full document
24
Time-Frequency Cepstral Features and Combining Discriminative Training for Phonotactic Language Recognition
... language recognition results of the PPRVSM system using fMPE trained phone recognizer are summarized in Table II and ...language recognition results than the maximum likelihood training method for both MFCC ... See full document
6
Decision tree-based acoustic models for speech recognition
... on acoustic partitioning achieved the best performance among the MFCC systems explored in this ...DT acoustic models as robust and accurate as GMMs while maintaining these advan- ... See full document
8
Drum Sound Detection in Polyphonic Music with Hidden Markov Models
... and recognition jointly. Two ways of using HMMs are studied: modelling combinations of the target drums and a detector-like modelling of each target ...drum. Acoustic feature parametrisation ... See full document
9
Multilingual Blended Speech Recognition using Gaussian Mixture Model for Non-Dictionary Words
... the acoustic model and language model in previous ...reference. Acoustic model estimates the acoustic properties of speech ...between acoustic model and language show with the lexical ... See full document
9
Vaidya: A Spoken Dialog System for Health Domain
... speech recognition in Indian languages which can be implemented as keyword spotting using articu- latory gestures as cardinal units ...building recognition engine for English with In- dian accent by ... See full document
6
Automated Speech Recognition Technology for Dialogue Interaction with Non Native Interlocutors
... dialogic speech recognition is the case of conversation-based Computer-Assisted Language Learning (CALL) ...HTK speech rec- ognizer (Young et ...that acoustic mod- els trained on the Wall ... See full document
5
Speech Recognition for English Language Pattern Recognition Approach
... the speech combined with the feature detected that convert the spectral measurement to the set of feature which described the broad acoustic properties of the different acoustic ...the ... See full document
5
Unvoiced Speech Recognition Using Tissue-Conductive Acoustic Sensor
... his speech becomes voicing with vocal cords ...Lombard speech has characteristics similar to those of normal speech ...murmur recognition is performed in noisy environments, the produced ... See full document
11
Acoustic models of consonant recognition in cochlear implant users
... Because the aim of this experiment was not to compare different processing or stimulus variables within the model, such as those identified in chapter 2, it was necessary to make a choice regarding these variables. It ... See full document
272
Speech Recognition of Continuous Tamil phoneme using DBN
... ABSTRACT: Speech Recognition has been an interesting field of research for the past few ...the speech has become inevitable for communication in this current state of ...continuous speech ... See full document
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