clean speech
Robust Speech Recognition Using Factorial HMMs for Home Environments
... for clean speech and an HMM for noise, both of which have sim- ple structures in this ...only clean speech; however, the same can be done in a similar manner for ...noisy speech samples ...
9
A robust polynomial regression-based voice activity detector for speaker verification
... sample speech signal to illus- trate its effectiveness. The speech file used in the tests is an utterance spoken by a male speaker from the Noizeus corpus [38], with an 8 kHz sampling ...the clean ...
16
Speech enhancement methods based on binaural cue coding
... and speech presence probability (SPP) to obtain spectral gain of ...The speech signal was down-sampled to 8 ...noisy speech signals composed of 40 clean speech signals from the TIMIT ...
15
Noise Estimation of Non Stationary Voiced Speech Using Chirp Model
... Abstract— Speech Enhancement algorithmic models removes or reduces the noise and improve one or more perceptual aspects of noisy speech most notably quality and ...The speech signal is considered as ...
9
Sound Classification in Hearing Aids Inspired by Auditory Scene Analysis
... noise clean- ing means ...for speech or knocking ...“clean speech,” “speech in noise,” and “noise without speech” are distinguished by means of modulation frequency ...the ...
12
KALAKA-2: a TV Broadcast Speech Database for the Recognition of Iberian Languages in Clean and Noisy Environments
... the clean-speech ...from clean to noisy speech produced higher degradation than moving from closed-set to open-set eval- ...noisy speech seems to be more chal- lenging than expanding ...
7
FEATURE CLUSTERING AND LABELLING TECHNIQUE FOR CONTINUOUS SPEECH RE COGNI TI ON M.Kalamani 1, M.Krishnamoorthi2 ,R.S.Valarmathi 3
... continuous speech signal into discrete symbols and label ...different speech recognition algorithms with proposed feature clustering and labelling technique under various number of clusters for clean ...
5
Stereo-based histogram equalization for robust speech recognition
... environments. Speech enhancement techniques have been developed to provide ASR systems with the robustness against the sources of ...for clean speech and its corresponding noisy speech to ...
10
Usable Speech Assignment for Speaker Identification under Co Channel Situation
... usable speech segments and individual speaker models trained from clean speech, the problem is to search two speakers in space Λ and Y that maximize probability in ...
5
Adaptive Weiner Filter for Speech Enhancement Under Various Noisy Conditions
... noisy speech enhancement algorithm depends on the estimation of the priori signal-to- noise ratio ...of clean speech and enhanced noisy speech compared to HRNR ...
7
Model Compensation Approach Based on Nonuniform Spectral Compression Features for Noisy Speech Recognition
... phase, clean speech HMMs are trained from standard MFCC features of which no compression is applied or the compression root is just equal to ...The clean HMMs are combined with the noise model to ...
7
SURVEY ON INFORMATION EXTRACTION FROM CHEMICAL COMPOUND LITERATURES: TECHNIQUES AND CHALLENGES
... the speech signal is divided into frames of duration 25 ms, with 10 ms overlap between adjacent ...the clean speech, feature vectors are extracted from this noisy speech and used to check the ...
6
A LITERATURE SURVEY ON SINGLE CHANNEL SPEECH ENHANCEMENT TECHNIQUES
... enhanced speech signal and background of the enhanced speech signal has been designed to lead the listener to combine the results of both the clean speech signal and background noise and ...
10
Dereverberation and denoising based on generalized spectral subtraction by multi-channel LMS algorithm using a small-scale microphone array
... for speech recognition. The acoustic models were trained with the ASJ speech data- bases of phonetically balanced sentences (ASJ-PB) and the ...(clean speech) uttered by 132 speakers were used ...
11
Spectral Restoration Based Speech Enhancement for Robust Speaker Identification
... Based Speech Enhancement System In classical spectral restoration based speech enhancement system, the noisy speech is given as; y(t)= s(t) + n(t), where s(t) and n(t) specify clean ...
6
FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... of speech enhancement algorithms using Laplacian model ...the clean speech component to refine the estimated Laplacian factor in the original method, and thus the accurate result can be ...
5
Speech Enhancement by Modified Convex Combination of Fractional Adaptive Filtering
... To evaluate the performance of this new idea, in the first strategy, the simulations of learning curves (i.e., MSE plots) are examined using random signal instead of clean speech signal. As it can be ...
11
Design and Comparison of Vector Quantization Codebooks for Narrowband Speech Coding
... scheme is (3, 3, 4) in which the first split contains the first three components of the 10 dimensional LSF vector, LSF1−LSF3, the second split consist of LSF4−LSF6 while LSF7−LSF10 constitute the third split. For ...
8
Experimental Observations of Ideal Binary Mask for CASA based Systems
... 2) Car Ignition Noise: At the time of some of the conversation it is possible that person may be out of his home. The road traffic vehicles always generate different noises. Generally all the vehicles are travelled by ...
11
Speech Enhancement via EMD
... four clean speech signals “e”, “f ”, “g”, and “h” (Figure 5), corrupted by additive white Gaussian noise with SNR values ranging from − 10 dB to 3 ...less speech distortion for all the signals ...
8