[PDF] Top 20 Efficient Cepstral Normalization for Robust Speech Recognition

Efficient Cepstral Normalization for Robust Speech Recognition

... EFFICIENT CEPSTRAL NORMALIZATION FOR ROBUST SPEECH RECOGNITION EFFICIENT CEPSTRAL NORMALIZATION FOR ROBUST SPEECH R E C O G N I T I O N Fu Hua Liu, Richard M Stern, Xuedong Huang, Alejandro Acero Depa[.] ... See full document

6

Autocorrelation-based noise subtraction method with smoothing, overestimation, energy, and cepstral mean and variance normalization for noisy speech recognition

... noisy speech signal to suppress the effect of noise, they are not useful for the cases where important components are seen in higher autocorrelation lags of the noise, ... See full document

16

Pattern Normalization/Template Optimization in Order To Optimize Speech Recognition Process

... not robust to the speech signal ...The speech signal produced would vary according to many ...the recognition phase, the average template technique is developed to prepare more robust ... See full document

6

Review on Computer Control with Voice Command (MFCC) using Ad-hoc Network

... in recognition of speech under stress and formulates new features which are shown to improve stressed speech ...formulating robust features which are less dependent on the speaking conditions ... See full document

6

Speech to Text Conversion Using Discrete Hidden Markov Model

... years, Speech Recognition has the great development in the automation ...Automatic Speech Recognition (ASR) to facilitate an interaction between human and the electronic ...a robust ... See full document

8

Noise-Robust Speech Features Based on Cepstral Time Coefficients

... the cepstral time coefficients they include in the final feature vector, it is fair to say that the zeroth cepstral time coefficient is detrimental to recognition ... See full document

8

A Review on Neural Network based Noise Robust Speech Recognition Methods

... enhancing speech by means of a deep neural network based ...noisy speech signals to clean speech ...where speech data is intensely contaminated by noisy ...of speech frame for the ... See full document

7

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

Enhancing the magnitude spectrum of speech features for robust speech recognition

... codeword-dependent cepstral normalization (CDCN) [22], SNR-dependent non-uniform spectral compression scheme (SNSC) [23], feature-based stochastic matching [7,8], multivariate Gaussian-based cepstral ... See full document

20

Intra-frame cepstral sub-band weighting and histogram equalization for noise-robust speech recognition

... of speech recognition systems is often degraded due to noise in application ...of speech features in the training and testing conditions of the ...[4], cepstral mean and variance normaliza- ... See full document

18

Environment Independent Speech Recognition System using MFCC (Mel-frequency cepstral coefficient)

... Abstract—- Speech recognition is a method of finding similarity between two sequences. Various researches have been done on it. In our research, we are trying to achieve the optimal accuracy during the ... See full document

5

Pathological Voice Recognition for Vocal Fold Disease

... [7]. Cepstral coefficients may follow any statistical distribution on different speech segments; the well-known Gaussian Mixture Model (GMM) approach was chosen to fit a flexible parametric distribution to ... See full document

7

Cross Breed Biometric Fusion at Feature Level Using Back Propagation Algorithm

... In our research, fusion of tongue biometric and speech biometric has taken place. We have used feature extraction techniques MFCC and FFT to improve/increase the accuracy rate. The FAR i.e. false acceptance rate ... See full document

5

Exploiting correlogram structure for robust speech recognition with multiple speech sources

... the speech fragment decoding system (after Barker et ...to speech models is then used to search for the most likely combination of fragment labelling and speech model ...ceiving speech signals ... See full document

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An Augmented Chart Data Structure with Efficient Word Lattice Parsing Scheme In Speech Recognition Applications

... An Augmented Chart Data Structure with Efficient Word Lattice Parsing Scheme In Speech Recognition Applications An Augmented Chart Data Structure with Efficient Word Lattice Parsing Scheme In Speech R[.] ... See full document

6

Noise Cancellation Method for Robust Speech Recognition

... clean speech, 4(b) input noisy speech and 4(c) is the enhanced speech ...enhanced speech signal, some of the impulses are not ...the speech signal. The remaining impulses in the ... See full document

7

Spectral Estimation for Noise Robust Speech Recognition

... SPECTRAL ESTIMATION FOR NOISE ROBUST SPEECH RECOGNITION SPECTRAL ESTIMATION FOR NOISE ROBUST SPEECH R E C O G N I T I O N Adoram Erell and Mitch Weintraub SRI International A B S T R A C T We present[.] ... See full document

6

Design and Development of Silent Speech Recognition System for Monitoring of Devices

... There are endless possibilities for improvements but some of which that have come necessary to us during the development phase are as follows. In the future we would be able to add more electrodes. Addition of electrodes ... See full document

8

Speech Endpoint Detection Based on High Order Statistics

... automatic speech recognition, endpoint detection is required to isolate the speech of interest so as to be able to create a speech pattern or ...the speech segments of an utterance from ... See full document

5

Optimization the Parameters for Speech Recognition System Using Genetic Algorithm

... for speech recognition but the slow convergence speed of the training HMM and HMM parameters optimization are the great interesting ...the recognition rate increased up to ... See full document

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