[PDF] Top 20 A Review on Neural Network based Noise Robust Speech Recognition Methods
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A Review on Neural Network based Noise Robust Speech Recognition Methods
... beings. Speech is a natural way of communication because it requires no special training as most of the humans are born with this ...if speech is used for Human Machine Interface ...ASR, Speech is ... See full document
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Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition
... the methods in low SNR ...a noise distribution is assumed for the noise instead of just using noise estimated, seems to be more suited for this high noise ... See full document
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Artificial Intelligence Technique for Speech Recognition Based on Neural Networks
... The speech input facility is the most user-friendly way, adopted by development of speech recognition based on sophisticated ...of speech signals as a set of informative signs. The ... See full document
6
A comparative review of dynamic neural networks and hidden Markov model methods for mobile on device speech recognition
... high-accuracy speech recognition algorithms without an effective evaluation of their impact on the target computational resource is impractical for mobile and embedded ...mobile-based speech ... See full document
10
Multi microphone speech enhancement technique using a novel neural network beamformer : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Engineering at Massey University, Albany, New Zealand
... for speech-based applications; examples include personal dictation devices, hands-free telephony, voice recognition for robotics, speech-controlled equipment, automated phone systems, ... See full document
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A Novel Approach for Face Recognition using Dual Cross Grouping Patterns and Neural Network
... Based on design methodology, we can group existing face image descriptors into two groups: hand-crafted descriptors and learning-based descriptors. Most face image descriptors are hand-crafted, of which ... See full document
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HIERARCHICAL CLASSIFICATION TREE MODELING OF NONSTATIONARY NOISE FOR ROBUST SPEECH RECOGNITION
... in noise- robust speech ...background noise pro- perties, however, reduces the MLLR usefulness in nonstationary noise ...premium noise robustness comparable to the dedicated ... See full document
9
Speech Enhancement Using Neural Network
... of speech enhancement is to improve recognition performance (in terms of word recognition accuracy), we cannot use the word accuracy, a piecewise constant function, as a training cost function for ... See full document
5
Isolated English alphabet speech recognition using wavelet cepstral coefficients and neural network
... are robust to noise and degradations (Farooq and Datta, 2004; Flynn and Jones, 2012b; Gowdy and Tufekci, ...better recognition rates (Abdallah and Ali, 2010; Al-Sawalmeh et ... See full document
31
Noise Cancellation Method for Robust Speech Recognition
... test speech signal and the results obtained are compared against the result of the other three ...clean speech signal and noisy speech ...clean speech is degraded by background ...clean ... See full document
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Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition
... For recognition process, probabilistic LDA method is used in several kinds of ...speaker recognition models like universal background model (UBM) and Gaussian mixture model (GMM) gives suitable result for ... See full document
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Neural Network Based Missing Feature Method For Text Independent Speaker Identification
... feature methods in text-independent speaker identification is to identify highly cor- rupted spectrographic representation of speech as missing ...corrupting noise and usually fail to work with ... See full document
5
A new joint CTC-attention-based speech recognition model with multi-level multi-head attention
... Based on the model we have described in Section 2, we introduce our attention method utilizing multi-level in- formation. Previous studies on attentions have one thing in common: when calculating attention scores ... See full document
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A Review of Signal Subspace Speech Enhancement and Its Application to Noise Robust Speech Recognition
... convolutional noise distortions, a cepstral mean normalisation (CMN) step is ...is based on a set of 46 ...SVD-enhanced speech material is con- ... See full document
15
VDCNN based Noise Robust Speech Recognition with Combination of GMM and MFCC Features
... The speech recognition is the mechanism to interpret the meaningful description of the input speech signal, which can be used for further ...The speech recognition models are utilized ... See full document
9
1. Efficient face recognition using convolutional neural networks
... face recognition with Convolutional auto-encoder (CAE) with neural ...face recognition is the crucial step for many applications like surveillance, access control or human-computer ...Convolution ... See full document
7
A Comparative Review on Different Methods of Face Recognition
... face recognition for welfare benefits where they compare the entire database when enrolling a new applicant in welfare to make sure that the applicant only has one ...face recognition systems are not ... See full document
5
Effect of Various Attacks on Watermarked Images
... RBF neural network makes use of weighted sum of the Gaussian basis function with diagonal covariance matrix as posterior probability of training data ... See full document
6
Sparse coding of the modulation spectrum for noise-robust automatic speech recognition
... the recognition perfor- mance with LDA-transformed features came as a surprise, not in the last place because we have seen that cluster purity increases after LDA ...clean speech suggests that the ... See full document
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A Review On Different Feature Recognition Techniques For Speech Process In Automatic Speech Recognition.
... of speech recognition has extensively ...progress, speech recognition has turn out to be gradually more embedded in our on a daily basis lives with voice-motivated ...object ... See full document
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