[PDF] Top 20 Speech Enhancement Using Deep Neural Network
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Speech Enhancement Using Deep Neural Network
... of using single Gaussian distribution, here graphical models with multiple hidden variables, including restricted Boltzmann machine (RBM) and deep belief networks ...for speech estimation ...clean ... See full document
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Multi resolution auditory cepstral coefficient and adaptive mask for speech enhancement with deep neural network
... existing speech enhancement algorithms is not ideal in low signal-to-noise ratio (SNR) non-stationary noise ...novel speech enhancement algorithm based on multi-feature and adaptive mask with ... See full document
16
Evaluation of Mixed Deep Neural Networks for Reverberant Speech Enhancement
... Abstract: Speech signals are degraded in real life environments, product of background noise or ...several Deep Learning-based methods have been proposed and proven to be ...recurrent neural ... See full document
12
Speech De Noising Using Ideal Binary Masking and Deep Neural Networks
... In situations where signals from various sources are mixed, source separation may be relevant. Source separation will divide the sound mixture into one or more target sounds and one or more infiltrator sounds, and in ... See full document
6
Speech dereverberation for enhancement and recognition using dynamic features constrained deep neural networks and feature adaptation
... other neural networks have been applied to many speech processing ...the deep recurrent neural network (DRNN), is used to estimate clean speech features (MFCC) from noisy ... See full document
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Improved Wasserstein conditional generative adversarial network speech enhancement
... current deep learning speech enhancement systems based on the spectrum analysis framework [11–15], GAN and the variant algorithm of GAN work end-to-end with the raw speech data without ... See full document
10
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 the ... See full document
5
Articulatory Text-to-Speech Synthesis Using the Digital Waveguide Mesh Driven by a Deep Neural Network
... the speech waveform using a deep neural network, we propose a novel method that directly estimates a physical model of the vocal tract from the speech waveform, rather than ... See full document
6
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 for ... See full document
9
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, ...acquired ... See full document
13
Noise reduction using neural lateral inhibition for speech enhancement
... artificial neural networks, spiking neural networks (SNNs) can achieve significant power efficient computing by employing simplified bio-inspired neuron model as the fundamental processing unit and the ... See full document
6
Isolated English alphabet speech recognition using wavelet cepstral coefficients and neural network
... of speech recognition system has several steps as shown in Figure ...a speech recognition system to function accurately and ...with speech processing such as analog to digital conversion of ... See full document
31
Different Attack Patterns For Deep Brain Implants By Using Cnn
... neural network contains interconnected neurons used to commerce the messages from one ...making neural networks for ...problems. Neural networks are classified into 6 types such as (i) ... See full document
5
Deep Auto-Encoder Neural Network for Phishing Website Classification
... Jameel and George presented a feedforward neural network to classify the phishing email by mining features from the email’s slogan and HTML organization. Their proposed algorithm was verified on 18 features ... See full document
5
The use of adversaries for optimal neural network training
... results. When looking at the continuum ∆ E distributions for di ff erent NN slices, the distri- bution is sculpted to be more signal-like as NN increases. On the flip side, for a low NN the distribution shows the ... See full document
8
Human-level Moving Object Recognition from Traffic Video
... amount. Deep learning provides us an effective way to understand big data in ...human-level. Deep learning is about learning to data modeling potential distribution of multi-layer expression of ...features ... See full document
14
Tree Copula Theory Based Fusion And Compressive Sensing For Activity Detection using Multi Modal Data
... limits using the Shannon’s theoretical signal recovery, and has the capability to complete the signal acquisition at a sampling rate less than twice the signal frequency ... See full document
7
Nikolov Radivchev at SemEval 2019 Task 6: Offensive Tweet Classification with BERT and Ensembles
... the speech: either directed towards a specific person or entity, or generalized towards a group of people sharing a common protected ...hate speech is presented in (Malmasi and Zampieri, ... See full document
5
Facial Recognition Using Deep Learning Neural Network
... of deep learning and deep belief network, a facial recognition system algorithm is ...of neural network and greedy layer wise training of the same network will ensure efficient ... See full document
7
Tweet Sarcasm Detection Using Deep Neural Network
... Recently, contextual information has been exploited for sarcasm detection (Wallace et al., 2015; Karoui et al., 2015). In particular, contextual features extracted from history tweets by the same au- thor has shown great ... See full document
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