[PDF] Top 20 An FFT-Based Companding Front End for Noise-Robust Automatic Speech Recognition

An FFT-Based Companding Front End for Noise-Robust Automatic Speech Recognition

... in-vehicle speech corpus [28] and the Aurora- 2 corpus [29]—to evaluate the eﬀect of the proposed companding algorithm on speech recognition ...(for companding) between the experiments on ... See full document

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Sparse coding of the modulation spectrum for noise-robust automatic speech recognition

... are based on perception experiments with human subjects, but more often than not these experiments use auditory stimuli that are very different from ...the automatic processing aimed at extracting the ... See full document

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Attention based audio visual fusion for robust automatic speech recognition

... of Automatic Audio- Visual Speech Recognition (AVSR) has been a ...Continuous Speech Recognition (LVCSR) [14] that match the well established Mel-frequency cepstral coefficients for ... See full document

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A Review of Signal Subspace Speech Enhancement and Its Application to Noise Robust Speech Recognition

... subspace speech enhancement, (2) to derive an upper bound for the performance of these techniques, and (3) to present a comprehensive study of the potential of subspace filtering to increase the robustness of ... See full document

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A Review on Neural Network based Noise Robust Speech Recognition Methods

... of speech recognition was not very pleasing, therefore in 2013 Graves, Alex ...an end to end training method called Connectionist Temporal ...The end to end training was modified ... See full document

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Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition

... increase noise robustness in automatic speech recognition (ASR) systems is feature enhancement based on an analytical dis- tortion model that describes the effects of noise on ... See full document

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A Robust Observation Model for Automatic Speech Recognition with Adaptive Thresholding

... of speech signal and increase the word error rate of automatic speech recognition ...on speech signal. From those observations a relation between clean speech signal and ... See full document

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Noise Cancellation Method for Robust Speech Recognition

... background noise from speech signal. The degradation of speech due to presence of background noise and several other noises cause difficulties in various signal processing tasks like ... See full document

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A Robust Isolated Automatic Speech Recognition System using Machine Learning Techniques

... services based speech ...of speech recognition ...of noise good results have been achieved in various applications by the use of ...in speech processing ...huge speech ... See full document

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A Hybrid HMM/SVM Classifier for Wavelet Front End Robust Automatic Speech Recognition

... method based on dimension theory and structural risk minimization (SRM) can solve the problems associated with sample number, generalization ability and classification [12, ...wavelet front end ... See full document

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VDCNN based Noise Robust Speech Recognition with Combination of GMM and MFCC Features

... The end results demonstrated that even though the HMM methods outperformed dynamic MLP in terms of recognition performance but proposed model runs significantly faster than HMMs resulting in less processing ... See full document

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A Review On Different Feature Recognition Techniques For Speech Process In Automatic Speech Recognition.

... ABSTRACT- Speech is the fundamental form of communication in human being because of which speech processing has evolved and exists as an everlasting limb of speech ...processing. Automatic ... See full document

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Assessment of Fine Structure Processing Strategies in Unilaterally Deafened Cochlear Implant Users

... Various speech coding strategies have been developed, all of which aim to provide CI users with the clearest and most natural sound possible given the constraints of the limited stimulation representation of the ... See full document

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Personality in Speech: Theories of Psychology, Questionnaires, Speech Databases

... generated speech considered by any uttering automatic device is the measurement for its efficiency ...understandable speech but it is automated, standard and far from natural speech ... See full document

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Noise Robust Speech Recognition Applied to Voice-Driven Wheelchair

... clean speech signals were recorded with the user, sitting in the wheelchair and uttering a command in a silent ...the noise robustness, the users (29 females and 19 males) were ... See full document

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HIERARCHICAL CLASSIFICATION TREE MODELING OF NONSTATIONARY NOISE FOR ROBUST SPEECH RECOGNITION

... background noise sample shows many re- peating patterns of local stationarity (caused mostly by present ...pre-segmentation based on local spatio- temporal ...[19] based segmentation of the training ... See full document

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End to end audiovisual speech recognition

... an end-to-end visual audiovisual fusion system which jointly learns to extract features directly from the pixels and audio waveforms and performs classification using ...word recognition in the ... See full document

5

Speech Recognition System for Medical Domain

... Speech recognition systems are extensively useful in medical field like maintaining electronic medical record (EMR), medical transcription and many more ...Using speech recognition software, ... See full document

5

Acoustical Pre Processing for Robust Speech Recognition

... ACOUSTICAL PRE PROCESSING FOR ROBUST SPEECH RECOGNITION ACOUSTICAL PRE PROCESSING FOR ROBUST SPEECH RECOGNITION Richard M Stern and Alejandro Acero 1 School of Computer Science Carnegie Mellon Univers[.] ... See full document

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Speech Recognition and Sensor Based Automatic Firebot

... then, based on these input values, controls the movement (via DC motors), task of extinguishing fire (via water pump) or initialization/ termination of the vehicle (via voice recognition ... See full document

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