[PDF] Top 20 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

... 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 the ... See full document

... power estimation is also a key factor in speech enhancement, which can usually be obtained through many approaches such as voice activity detection (VAD), minimum statistics (MS), and ...distinguish ... See full document

... of speech signals is required in many situations in which the signal is to be communicated or ...stored. Speech enhancement is required when either the signal or its receiver is ...normal speech with ... See full document

... the speech technology’s point of view, this may seem surprising because the narrow-band filters of the one-third octave filterbank in the low frequen- cies may cause interactions with fundamental frequency, while ... See full document

... In [6], Qian, Yanmin et. al. has extended former architecture of Very Deep Convolutional Neural Networks (CNNs) for robust speech recognition. The authors are inspired by the results of very deep ... See full document

... achieve noise invariance of parametric speech repre- sentation by replacing usual types of features such as MFCCs (mel-scale frequency cepstral coefficients) [10] with more robust ...relative ... See full document

... of recognition performance but proposed model runs significantly faster than HMMs resulting in less processing ...continuous speech recognition ...database. Speech is first parameterized in ... See full document

... desired speech and the ambient speech noise. The noise suppression results are plotted in (c) and (d), ...moving noise, with an SNR improvement of about 15 dB. The conventional ... See full document

... possible recognition results for each testing situation achieved by WS-HEQ with various assignments of the scaling parameter ...highest recognition accu- racy) depends on the noise type and level ... See full document

... in speech sig- nal processing are methods connected with time and ...estimate speech signal in a finite time intervals. This estimation is carried out based on signal’s fragments cut by window ... See full document

... of speech models, and (3) design of algorithms working directly in linear spectral domain for speech ...plicit speech modeling, for example, autocorrelation model- ing of speech signals ... See full document

... distant speech acquisition in multiparty meeting s using multiple cameras and ...of speech recognition using data recorded in a real meeting room for stationary speaker, moving speaker and ... See full document

... Initially we started our system to train it. We also know that our priority is robustness, accuracy etc. so we done that experiment in our laboratory, and we tried our best to reduce the noise effect so that we ... 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

... based noise cancellation method presented in section ...The speech signal was recorded with 16 KHz sampling rate 16 bit resolution and then the speech was stored as uncompressed ...impulsive ... See full document

... extracting robust features which repre- sent parameters less sensitive to noise by modifying the extracted features [1], other research directions aimed at increasing the performance of speech ... See full document

... a speech source located at 0 ∘ and − 90° azimuth, ...target speech at − 90°, all binaural algorithms underwent slight performance ...target speech at − ... See full document

... Recognition of Noisy Speech Using Minimum Mean Log Spectral Distance Estimation Recognition of Noisy Speech Using Minimum Mean Log Spectral Distance Estimation A Ere11 and M Weintraub SRI Internationa[.] ... See full document

... for Speech Enhancement (SE) ...and spectral speech ...the speech signals and noise from an input ...noisy speech signal is fed as input to the ...restores noise-free ... See full document