Neural Network Speech Processing
Neural Speech Synthesis with Transformer Network
... We notice that in both the 3-layer and 6-layer model, only alignments from certain heads of the beginning 2 layers’ are interpretable diagonal lines, which shows the approx- imate correspondence between input and output ...
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Speech Enhancement Using Neural Network
... the speech signal to obtain a clean signal with higher ...and speech enhancement has received considerable attention within the adaptive filter ...artificial neural network community (ANN), is ...
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Speech Recognition Using the Probabilistic Neural Network
... and speech can also be reached by performing clustering on the training data for the ...Automated Speech Recognition (ASR) is a difficult ...of processing: the signal pre-processing, feature ...
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Speech Enhancement Using Deep Neural Network
... of speech signals during communication are generally corrupted by the surrounding ...Corrupted speech signals therefore to be enhanced to improve quality and ...of speech processing, much ...
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Neural Network Based Hausa Language Speech Recognition
... ECOGNITION Speech recognition deals with the analysis of the linguistic content of a speech ...signal. Speech recognition is one of the areas of research in speech processing and it is ...
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Neural Network Based Hausa Language Speech Recognition
... it is a still-developing field of research. It can be explained by the lack of consensus on basic definitions and research methods. There are also different judgments on the importance and the significance of the ...
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Auditory representations of speech sounds in a neural model: The role of peripheral processing
... of speech sounds by the auditory system has been a subject of intense attention over several decades, reflecting its importance to the scientific study of speech perception and the technological develop- ...
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Exemplar-based speech enhancement for deep neural network based automatic speech recognition
... Deep neural network (DNN) based acoustic modelling has been suc- cessfully used for a variety of automatic speech recognition (ASR) tasks, thanks to its ability to learn higher-level information ...
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Exemplar-based speech enhancement for deep neural network based automatic speech recognition
... Signal Processing, Tampere University of Technology, Finland { ...Deep neural network (DNN) based acoustic modelling has been suc- cessfully used for a variety of automatic speech recognition ...
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A supramodal neural network for speech and gesture semantics : an fMRI study.
... setting, speech is often accompanied by gestures. As language, speech-accompanying iconic gestures to some extent convey semantic ...supramodal processing of semantic ...performed speech (S, ...
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Visual Speech Recognition Using a 3D Convolutional Neural Network
... a processing time of about 12 days, when running ...slow processing speed is that the face detection algorithm can not be easily sped up by the use of ...a processing framework based around CNN face ...
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Research on Computer Digital Signal Processing Network based on the RBF Neural Network
... computer-aided speech processing were summarized and reviewed and improved genetic algorithm applied to computer-aided speech ...the network training ...voice processing applications ...
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The neural correlates of verbal feedback processing: An fMRI study employing overt speech
... the neural correlates of processing verbal feedback without ...feedback processing involves a network of different areas related to general per- formance monitoring and speech-motor ...
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The neural correlate of speech rhythm as evidenced by metrical speech processing
... implicit processing condition, we measure unattended processing of speech ...both speech listening tasks and covert rehearsal of spoken ...the neural correlate of a synchronization ...
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Speech Processing Disorder in Neural Hearing Loss
... auditory processing may occur in a variety of clinical conditions including traumatic brain injury, neurodegenerative disease, auditory neuropathy/dyssynchrony syndrome, neurological disorders associated with ...
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Defective neural motor speech mappings as a source for apraxia of speech : evidence from a quantitative neural model of speech processing
... of neural states higher than 80% in the case of our simulation) the current proto-action and its intragestural parameter setting are retained in short-term memory, and the speaker now endeavors to co-activate ...
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A Study on Neural Network in Image Processing
... the neural networks in image processing. Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to ...of neural ...
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Interpreting Neural Network Hate Speech Classifiers
... For each word in our corpus, we construct a sen- tence of the form “they call you ” and feed it as input to the CNN-GRU network. We choose this structure to grammatically accommo- date both nouns and ...
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Isolating neural indices of continuous speech processing from multivariate neural data
... 139 entrainment measures. Our considerations focus on delta- and theta-band neural rhythms because EEG measures of cortical entrainment were mostly driven by those frequencies. In particular, while Chapter 3 ...
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Speech Transmission Index from running speech : a neural network approach
... artificial neural network. This network has the following neurons in the input, hidden and output layers: 14 –10– 8 ...the network is validated. To demonstrate how the network gen- ...
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