Speech Airflow and Air-Pressure Signal Editing Platform

Shi Liang Lv; Ya Sheng Jin

doi:10.4028/www.scientific.net/AMR.989-994.3667

Paper Titles

Multi-Threshold Image Segmentation Based on Improved Particle Swarm Optimization and Maximum Entropy Method
p.3649

Speech Enhancement Based on EMD and Wavelet Threshold in Noisy Environments
p.3654

Study of SC-FDMA Reduce PAPR Based on the Power Line Carrier Communication
p.3658

An Improved Image Stitching Algorithm
p.3663

Speech Airflow and Air-Pressure Signal Editing Platform
p.3667

Modeling Difficult-to-Measure Process Parameters Based on Intrinsic Mode Functions Frequency Spectral Features of Mechanical Vibration and Acoustical Signals
p.3671

Image Retrieval of Self-Adapt Distance Measure Based on SLLE
p.3675

Study on Deep Structure of Extreme Learning Machine (DS-ELM) for Datasets with Noise
p.3679

Design of 2_DOF Simulation Platform for the Testing of Airborne Laser Communication APT System
p.3683

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Speech Airflow and Air-Pressure Signal Editing...

Speech Airflow and Air-Pressure Signal Editing Platform

Abstract:

Experimental phonetics development to today has undergone a long and complicated process. The field of study from the acoustic analysis of expansion to the physiological and perceptual field. Speech aerodynamics signal is one of the most important physiological signal language research, plays an important role in human phonation process. Air pressure signal as an important physiological signal, which has great significance to the study of speech physiology, mainly through speech aerodynamics equipment acquisition. In this paper, according to the need of research, established by MATLAB program analysis platform, can be edited on the speech, the airflow and pressure signal is better, which is more suitable for speech research.