[PDF] Top 20 VDCNN based Noise Robust Speech Recognition with Combination of GMM and MFCC Features

... Khan Suhail Ahmad et al. [5] propelled the utilization of blend of mel frequency cepstral coefficients (MFCC) and its delta derivatives in content independent speaker recognition systems. They evaluated ... See full document

... learning based classifiers for spoken language ...spectral features derived from the English and Mandarin phone call ...in combination with Shifted Delta Cepstral (SDC) features provide ... See full document

... convolutive noise. Third, instead of using GMMs as prior speech models, the proposed algorithms could be extended to exploit the HMMs used by the recogniser as this would provide with additional temporal ... See full document

... 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

... A front-end of a speech recognition system may consist of several stages for noise-robustness to achieve good performance. In the early stage of spectral domain, well-known methods such as spectral ... See full document

... additive noise and/or channel distortion often seriously degrades the performance of speech recognition ...model- based approaches, compensation is performed on the pre-trained ... See full document

... the features of mel-frequency cepstral coefficients (MFCCs) with signal-to-noise-ratio- (SNR-) dependent nonuniform spectral compression ...be robust features under matched case, they suffer from ... See full document

... characterize speech in compar- ison to other non-speech sources (mainly ...the speech produced and recognized by humans is to see it as a sequence of recognizable ...units. Speech pro- duction ... See full document

... traditional features in recognition of speech under stress and formulates new features which are shown to improve stressed speech ...formulating robust features which are ... See full document

... 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

... of features MFCC (Mel Frequency Cepstral Coefficients) and Gamma tone coefficients (GFCC) have been extracted from all the collected ...of speech wave forms. Then the speech waveforms are ... See full document

... MFCCs are short-term spectral features and are widely used in the area of audio and speech processing. The mel frequency cepstrum has proven to be highly effective in recognizing the structure of music ... See full document

... improve recognition performance in “mismatched” conditions, that is, when the recognizer has been trained on clean speech but the data to be recognized are noisy; yet they may fail to improve perfor- mance ... See full document

... the recognition algorithm and analysis parameters supported minicomputer simulations with greater processing speed, smaller size, and lower cost than array ...for speech/music discrimination, which exploits ... See full document

... The image-source model (ISM) [18] is a technique used to generate synthetic room impulse responses (RIRs). Once the RIR is available, reverberated speech samples can be simulated by converlution according to (2). ... See full document

... The features of first ten samples are MFCC (Mel-frequency cepstrum coefficients) and 11 to 20 are PLP (perceptual linear prediction) ...used speech description for speech recognition ... See full document

... for speech dereverberation that draws on the fundamental idea of NMF, in that it models speech as a linear combination of dictionary ...clean speech signal, giving more effective ...of ... See full document

... For speaker recognition task, a first attempt on the use of RBMs has been reported by [6]. They use a single RBM training and apply the model to a speaker verification task. They model pairs of i-vectors using ... See full document

... Speech is the vocalized form of human communication. Speech is natural, easy, fast, hands-free and do not require technical knowledge. Human beings are comfortable with speaking directly with computers ... See full document

... The Aurora 2 task defines two different training modes: training on clean condition only, and training on multi- condition which include both clean and noisy conditions. Experiments with training on both conditions are ... See full document