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[PDF] Top 20 Application of Speech Signals to Deterministic Signal Modeling Techniques

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Application of Speech Signals to Deterministic Signal Modeling Techniques

Application of Speech Signals to Deterministic Signal Modeling Techniques

... the speech signal which is in the continuous or analog form is ...discrete speech signal to Pade approximation method ...impulse signal as the input to the filter and using these ... See full document

8

Introducing a web application for labeling, visualizing speech and correcting derived speech signals

Introducing a web application for labeling, visualizing speech and correcting derived speech signals

... a speech labeling tool ...web application for labeling speech data, visualizing speech and segmentation information and manually correcting derived speech signals such as formant ... See full document

5

SPEECH QUALITY ENHANCEMENT USING FAST ADAPTIVE KALMAN FILTER

SPEECH QUALITY ENHANCEMENT USING FAST ADAPTIVE KALMAN FILTER

... the speech signals are degenerated by the colored noise, the SNRout of our method is ...input speech signals were denoised by using a signal subspace ...denoised speech ... See full document

5

Robust Speaker Identification using Denoised Wave Atom and GMM

Robust Speaker Identification using Denoised Wave Atom and GMM

... efficient speech noise filter with Gaussian mixture models (GMM) for robust text-independent speaker ...numerical speech and alphabetical words ...noisy speech utterances without Wave atom ... See full document

7

Cryptanalysis of Keystream Reuse in Stream Ciphered Digitized Speech using HMM based ASR Techniques

Cryptanalysis of Keystream Reuse in Stream Ciphered Digitized Speech using HMM based ASR Techniques

... of speech [7]. Most contemporary speech recognizers are based on ...of speech communications between two parties have been significantly important areas of ...for speech, starting from the old ... See full document

6

Adaptive Speech Enhancement Technique using Time Variable LMS Algorithm

Adaptive Speech Enhancement Technique using Time Variable LMS Algorithm

... the speech signal is the majortask in applications like communications, hearing aids, speech therapy ...resolution speech signal to the user. The speech signals are mainly ... See full document

6

Testing of the voice communication in smart home care

Testing of the voice communication in smart home care

... designed application, a complex system based on fuzzy-neuron networks, specifically the ANFIS (Adaptive Neuro-Fuzzy Interference System) [12] for adaptive suppression of unwanted background noise was ...real ... See full document

22

Speech Compression for Better Audibility using Wavelet Transformation with Adaptive Kalman Filtering

Speech Compression for Better Audibility using Wavelet Transformation with Adaptive Kalman Filtering

... kHz, speech can convey information with the emotion of a human ...efficient speech coders for voice communication and transmission; today applications of speech coding and compression have become ... See full document

5

SPEECH CODING TECHNIQUES: A REVIEW

SPEECH CODING TECHNIQUES: A REVIEW

... channel, speech signals have to be converted to formats using various techniques called as speech coding ...Today, speech coders have become an essential component in cellular ... See full document

7

Modeling of Phoneme Transitions for Natural Synthesis of Speech Signals

Modeling of Phoneme Transitions for Natural Synthesis of Speech Signals

... based techniques such as Formant Synthesis, Hidden Markov Model (HMM) speech Synthesis, Auto Regressive (AR) [6][7] model based Linear Predictive Coding (LPC), Auto Regressive Moving Average (ARMA)[6] ... See full document

8

Features and Model Adaptation Techniques for Robust Speech Recognition: A Review

Features and Model Adaptation Techniques for Robust Speech Recognition: A Review

... of signal modeling is to parameterize the speech ...of speech, or changes of the spectrum with time, which is also referred to as the temporal correlation ...Markov modeling ... See full document

14

A New Accurate Volterra-Based Model for Behavioral Modeling and Digital Predistortion of RF Power Amplifiers

A New Accurate Volterra-Based Model for Behavioral Modeling and Digital Predistortion of RF Power Amplifiers

... behavioral modeling and digital predistortion (DPD) of power amplifiers ...modulated signals (a 4-carrier WCDMA signal and a single carrier 16QAM ...behavioral modeling and DPD applications ... See full document

14

Phonetic Recognition of Arabic Alphabet letters using Neural Networks

Phonetic Recognition of Arabic Alphabet letters using Neural Networks

... input. Speech analysis can be thought of as that part of voice processing that converts human speech to digital forms suitable for transmission or storage by ...computers. Speech synthesis functions ... See full document

6

Approximating the Time-Frequency Representation of Biosignals with Chirplets

Approximating the Time-Frequency Representation of Biosignals with Chirplets

... The signal is decomposed iteratively by finding the best matched dictionary component and then subtracted from the original signal ...long-enough signal lengths involves steep storage ...VEP ... See full document

10

A Comparative Evaluation of Normal Polygon Geotechnical Deterministic Analysis (NPGDA) and GEOStatistical INterpolation Techniques (Kriging) (GEOSTAINT-K): A Case Study from Kota Kinabalu Area, Sabah, Malaysia

A Comparative Evaluation of Normal Polygon Geotechnical Deterministic Analysis (NPGDA) and GEOStatistical INterpolation Techniques (Kriging) (GEOSTAINT-K): A Case Study from Kota Kinabalu Area, Sabah, Malaysia

... practical application for landslide susceptibility analysis (LSA) based on Normal Polygon Geotechnical Deterministic Analysis (NPGDA) and GEOSTAtistical INterpolation Techniques (Kriging) ... See full document

18

An Intelligent GSM & GPS Based Novel Approach to Thwart Catastrophe in Railways

An Intelligent GSM & GPS Based Novel Approach to Thwart Catastrophe in Railways

... ABSTRACT: An intelligent device advanced Vigilance control device in train loco is used to check the alertness of the loco pilot. It is the Microcontroller based multi -resettable device which is used to monitor the loco ... See full document

5

Design of Optimal Wavelet for Reduction of Noise in Speech

Design of Optimal Wavelet for Reduction of Noise in Speech

... from speech have been ...from speech is the spectral subtraction method[2], in this technique there is direct approximation of the short term spectral ...the signal, but it introduces some additional ... See full document

7

Compression of ECG signals using variable-length classifıed vector sets and wavelet transforms

Compression of ECG signals using variable-length classifıed vector sets and wavelet transforms

... ECG signals into short and quasi-periodic ...ECG signal into two different lengths according to the energy varia- tion of the signal is utilized to improve the compression performance of the proposed ... See full document

17

Novel adaptive muting technique for packet loss concealment of ITU-T G.722 using optimized parametric shaping functions

Novel adaptive muting technique for packet loss concealment of ITU-T G.722 using optimized parametric shaping functions

... the speech data was sam- pled at 16 kHz and input speech level was set to −26 ...wideband signal) and random packet (frame) losses were inserted by using the error insertion device (EID) in ITU-T ... See full document

12

Linear prediction analysis/synthesis & noise cancellation techniques in speech signals.

Linear prediction analysis/synthesis & noise cancellation techniques in speech signals.

... f speech p r o d u c t i o n ' s u g g e s t s t h a t v o c a l t r a c t sy s te m can be r e p r e s e n t e d i n a s i n g l e t i m e - v a r y i n g d i g i t a l f i l t e r e x c i t e d e i t h e r by an ... See full document

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