speech signal

The results of simulation show that this algorithm can effectively detect speech signal under low signal to noise ratio condition.

Above all, we describe the basis of speech recognition theory briefly, and discuss the front-end speech signal preprocessing.

Speaker recognition is an important part of the speech signal processing. It is one of the current research hotspots.

So continuous speech recognition in noisy environment is always the hot spot and the difficult spot of the speech signal research.

First, the process of converting underlying knowledge into a speech signal may be impaired and thereby result in speech output problems.

Research on the auditory perception and its applications is an active area of the current speech signal processing.

As a statistical model in description of speech signal, HMM is widely used in signal processing especially in speech processing.

As the commonest and most direct method for information expression, the speech signal is widely used in many fields.

Speech signal processing is a rising interdisciplinary, a technology that combines Language-Phonetics and Digital Signal Processing (DSP).

Simulation results demonstrate that compressed speech signal sensing in the approximate KLT using template matching has good performance.

In this thesis speech signal processing is mainly discussed, proposing the improvement speech signal processor arithmetic.

But it needs prior knowledge of speech signal and its classification and decision making capability is weak.

CIS algorithm of cochlear implants' speech signal processing is achieved through hardware method.

Due to the storage CARDS popularization of mobile storage equipment, use of speech signal SD card to the storage become a trend.

The results of this study indicate that chaos and fractal theories have great potentials in the field of speech signal processing.

This paper focuses on the research of mathematical morphology in one-dimensional speech signal processing.

Finally, expects future application and progress of fractal theory in speech signal processing.

The speech source localization technology based on microphone array has been abroad applied to communication and speech signal processing.

In the speech signal theory and application, the use of voice and data are mostly in nearly ideal conditions of the acquisition.

Simply speaking, with the noise from the speech signal to extract as much as possible the original pure voice.

This paper discusses speech enhancement when only noisy speech signal are available.

Digital filter is abroad applied in speech signal, which can easily produce the normal echo signal.

Based on NLMS, this paper proposes a decorrelation NLMS algorithm(DC-NLMS) by employing auto-correlation of the input speech signal.

The foreign advanced products have got high resolution of speech signal, and bring a lot of benefit for the deaf patients.

Almost all of the basic algorithm code in speech signal processing. Welcome to download.

To get the pitch of a speech remains an unsolved but basic problem in the field of speech signal process.

Time-frequency analysis of speech signal based on an improved S transform was proposed.

The method based on the analysis of spectrogram gives prominence to the difference between noise and speech signal in low SNR situation.

Compare filter before and after speech signal waveform and spectrum.

All in all, the actual noise signals the speech signal are both very complex.

Based on MATLAB language, complete speech signal spectrum analysis and collecting and filtering.

In this paper we introduce a speech signal processing platform.

Experimental results show that the LDV system has an ability to acquire the real-time speech signal 25 m away through glass.

Job description: 1. Proposal and implementation of speech signal feature analysis and related researches; 2.

Nowadays the VAD is a hot spot in the speech signal processing field.

A speech signal time delay estimation method based on fourth-order cumulants in room is described in detail.

The speech signal processing system for the study and implementation of real-time a common platform.

This paper introduce the Duration Distribution Based HMM, it can describe timing correlation of speech signal.

Following the scheme provided above, we can get the speech signal with higher SNR and intelligibility.

The third is the commutation of speech signal.

and equalizing the speech signal (1156) based on the noise model.

Speech compression plays an important part in storage and digital communication of speech signal because of its redundancy.

Teaching Experience of the "Speech Signal Processing" Course Combining with the Information Technology

Hidden Markov Model with Its Application in Speech Signal Processing

Spectrum Analysis of Vehicle Noise and Speech Signal and the Application of a Digital Subsidence Filter

Frame-Synchronized Combined Wavelet Packet Transform Algorithms and Their Application to Speech Signal Processing

Decomposition and Quantization of the Characteristic Waveform of Speech Signal

Optimization implementation of the linear predictive coding analysis for speech signal on DSP

Application of Independent Component Analysis Technology in Speech Signal Processing

Study of Auditory Perception of Phase Information in Speech Signal

Research and implementation of emotional feature extraction and recognition in speech signal

Receiving and demodulation of the modulated speech-signal in Ultraviolet domain

Bilinear Time-frequency Distribution Technique in Speech Signal Processing

Application of Fractal Theory in Speech Signal Endpoint Detection and Speech Enhancement

The Design and Implementation of the Speech Signal Processing System Working in PCI BUS

The time frequency-energy representation off speech signal in real-time recognition

A Time-Frequency Analysis Method for Speech Signal Based on Chirp Atoms Decomposition

Principle and Calculation Methods of Linear Prediction Analysis of Speech Signal

Frequency Character of DWT and Its Application for Speech Signal Denoising

The Manufacture of a Sampling System of Line Carrier Speech Signal by Using Sound Card

Advances of Research on Speech Signal Processing Strategy in Cochlear Implant

Extraction of Speech Signal Envelop and Analysis of Envelop Head of Chinese Syllable

Discussion on the Pre-processing Technique of the Speech Signal

Study on emotion feature analysis and recognition in speech signal: an overview

Modeling and Simulation of Extract Cepstrum Features of Speech Signal

Research of Speech Signal on Fire Information Display Interface

Research on the methods of speech signal acquisition and processing

Several Simulation Methods of Speech Signal Pre-filtering

Study on the errors in short time spectrum analysis of speech signal and the all phase DFT spectrum

An Endpoint Detection and Syllable Separation Algorithm Based on Multi-characteristic for Noisy Speech Signal

Pitch Detection Algorithm Analysis in Speech Signal

Current status and prospects of speech signal processing

Acquisition of the Speech Signal from BSS Using the Pattern Recognition Method

A Robust Algorithm for Pitch Marking for Speech Signal Processing

Obtainment Technology of Speech Signal Feature in Speech Driven Face Animation System

Summary of Speech Signal Pre-processing Technique

Time-frequency Spectrum Analysis of Speech Signal

Study on Emotional Feature Derived from Speech Signal

Estimation of Noise Parameters in Noisy Speech Signal

Speech Signal Fundamental Frequency Detection Based on Wavelet Transform

The Application to Speech Signal of Wavelet Analysis

Speech Signal Compression and DSP Implementation Based on Wavelet Packet Transform

A survey of endpoint detection methods for speech signal

The Study of Blind Speech Signal Separation in Noisy Environment

Short-ime processing of digital speech signal with FPGA

The Study of Lightness Equalizing for the Speech Signal

An application of EMG in speech signal recognition

Speech Signal Denoising of Threshold Based on Wavelet Transformation

Speech signal compression schemes based on discrete cosine transform

A Study on Emotional Recognition in Speech Signal

Anti-interference technology of speech signal processing system based on DSP

Pitch Detection of Speech Signal Under the Noise Environment

Speech signal endpoint detection and separation based on improved fuzzy ART

The Speech Signal Recognition Based on Bionic Pattern Recognition

Speech Signal Denoising of Mult-scale and Mult-threshold Based on Wavelet Transform

Calculation of Speech Signal Pitch Period Based on Wavelet Transform

Speech Signal Compression Based on Wavelet Transform

Dwnn-Based Nonlinear Predictor for Speech Signal

Firstly, the characteristics of speech signal in time and frequency domain are analyzed;

A Method of Synchronizing of Speech Signal

Research Progress of Emotion Processing Based on Speech Signal

Speech Signal Endpoint Detection Based on Relativity and Pole

De-noising of the Speech signal Based on the Wavelet Transform

Research on Threshold of Speech Signal De-noise Based on Wavelet Analysis

Unvoiced-Speech-Signal Recognition Based on Optimizing SEMG Signal Features

Filter Method of Speech Signal by Fuzzy Control Based on Chaos Divided Form Numbers

Study on Speech Signal Processing for Cochlear Implants Based on DSP

Research on emotion recognition of speech signal based on HMM

Study on speech signal denoising algorithm based on EMD

Design of Speech Signal Acquisition System Based on DSP