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Acoustic model

Acoustic Model Optimization for Multilingual Speech Recognition

Acoustic Model Optimization for Multilingual Speech Recognition

... According to the performance of the baseline results of language-dependent and language-independent systems, we have found that the accuracy rate is positively correlated to the amount of training speech. This means that ...

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Acoustic Model of Body and Swim Bladder forTarget Identification

Acoustic Model of Body and Swim Bladder forTarget Identification

... We have conducted a series of in situ studies of Selarboops (Oxeye Scad) and Megalaspiscordyla (Torpedo) Scad) using scientific echo sounder that were reported in [7]-[11]. One of the research conclusion is ...

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A Nonparametric Bayesian Approach to Acoustic Model Discovery

A Nonparametric Bayesian Approach to Acoustic Model Discovery

... our model on the following three tasks: sub-word acoustic model- ing, segmentation and nonparametric ...our model to the manual labels provided in the TIMIT ...our model proposed for ...

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The development of a vibro acoustic model of the human ear

The development of a vibro acoustic model of the human ear

... b Coherence Plot of the Ear Canal Figure B.2: Response Function and Coherence Plot of the Ear - Data Set 3 112... Impedance Curves for the Middle Ear..[r] ...

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Towards a full bandwidth numerical acoustic model

Towards a full bandwidth numerical acoustic model

... that model wave effects directly, such as the Boundary Element Method (BEM) and the Finite Element Method (FEM), do not suffer from this ...room acoustic simulation, particularly when the priority is to ...

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On the acoustic model of lithosphere-atmosphere-ionosphere coupling before earthquakes

On the acoustic model of lithosphere-atmosphere-ionosphere coupling before earthquakes

... that acoustic-gravity waves with periods of 2–3 h can apparently cause the diffu- sion of sporadic E-layers at distances of about 1000 km from the wave generation ...

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Acoustic Model Compression with MAP adaptation

Acoustic Model Compression with MAP adaptation

... the model shrinks during the MAP adaptation because the initial model has too many components compared to the size of the adaptation set, thus enough occupancy is not ac- cumulated to all ...the ...

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Tied Mixture Language Modeling in Continuous Space

Tied Mixture Language Modeling in Continuous Space

... based acoustic model. By drawing an analogy between the acoustic model training and language modeling in continuous space, the history vectors are considered as the acoustic ...

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Automatic recognition of child speech for robotic applications in noisy environments

Automatic recognition of child speech for robotic applications in noisy environments

... We used the Kaldi toolkit to train the acoustic models for the ASR sys- tem. The toolkit has relatively standardised scripts (collectively known as recipes) designed to work with different sets of training data. ...

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Multilingual Blended Speech Recognition using Gaussian Mixture Model for Non-Dictionary Words

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 ...

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STUDY ON SPEECH RECOGNITION SYSTEMS
                 

STUDY ON SPEECH RECOGNITION SYSTEMS  

... A high level overview of speech recognition systems is presented in figure 3. In the general speech recognition system there are two phases and they are speech training and speech testing. The major components of a ...

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Study on Calculation Method of Ground Absorption Factor in Substation

Study on Calculation Method of Ground Absorption Factor in Substation

... Acoustics Principle of Noise Prediction Acoustic Principles of Noise Propagation In the prediction calculation, the acoustic model of the calculated object is equivalent to a point sound[r] ...

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Advanced acoustic modelling techniques in MP3 speech recognition

Advanced acoustic modelling techniques in MP3 speech recognition

... state-of-the-art acoustic modelling techniques and one specific front-end compensation ...on acoustic model adaptation, discriminative training, and additional dithering as prominent means of ...

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Advances in Powertrains and Automotives

Advances in Powertrains and Automotives

... accurate acoustic model based on two-port matrix to calculate the transmission losses in the heat exchanger (HE) taking the ambient gradients effects into account are developed and used to study and improve ...

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Performance Enhancement in Lip Synchronization Using MFCC Parameters

Performance Enhancement in Lip Synchronization Using MFCC Parameters

... While we pass the speech signal from speech analysis filter to remove the redundancy in signal, residual error is generated as an output. It can be quantized by smaller number of bits compare to original signal. So now, ...

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Performance of a Microengineered ultrasonic particle manipulator

Performance of a Microengineered ultrasonic particle manipulator

... the acoustic field (the edge of the acoustic field in a typical device) the parti- cle trajectories illustrated result in the relative concentration distribution plotted in ...

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Acoustic Design of a Classical Concert Hall and Evaluation of its Acoustic Performance A Case Study

Acoustic Design of a Classical Concert Hall and Evaluation of its Acoustic Performance A Case Study

... the acoustic performance between the timber and timber-concrete ...the acoustic comfort level and structural ...an acoustic evaluation of a contemporary church based on in situ ...two acoustic ...

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Design of Underwater Acoustic Channel Model for OFDM Communication System

Design of Underwater Acoustic Channel Model for OFDM Communication System

... Acoustic waves appear as a good alternative, despite some associated negative aspects. For long communicating distances, an abrupt decay in pressure may occur, impairing the communication quality. This phenomenon ...

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Exploiting Acoustic and Syntactic Features for Prosody Labeling in a Maximum Entropy Framework

Exploiting Acoustic and Syntactic Features for Prosody Labeling in a Maximum Entropy Framework

... Prosody refers to intonation, rhythm and lexical stress patterns of spoken language that convey lin- guistic and paralinguistic information such as em- phasis, intent, attitude and emotion of a speaker. Prosodic ...

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Hindi Automatic Speech Recognition Using HTK

Hindi Automatic Speech Recognition Using HTK

... Among others, some of the works providing ASR system for South-Asian languages are (Al-Qatab and Ainon, 2010; Gupta, 2006; Pruthi et al., 2000). Pruthi et al. (2000) have developed a speaker-dependent, real-time, ...

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