Amplitude Envelope Kinematics of Speech Signal: Parameter Extraction and Applications
نویسندگان
چکیده
In this paper, we model the amplitude envelope of the broadband speech signal as a kinematic system and calculate its basic parameters, including displacement, velocity and acceleration. Such system captures the smoothed amplitude fluctuation pattern over time, illustrating how energy is distributed across the signal. Although the pulmonic air pressure is the primary energy source of speech, the amplitude modulation pattern is largely determined by articulatory behaviours, especially mandible and lip movements. Therefore, there should be a correspondence between signal envelope kinematics and articulator kinematics. Previous research showed that a tremendous amount of speaker idiosyncrasies in articulation existed. Such idiosyncrasies should therefore be reflected in the envelope kinematics as well. From the signal envelope kinematics, it may be possible to infer individual articulatory behaviours. This is particularly useful for forensic phoneticians who usually have no access to articulatory data, and clinical speech pathologists who usually find it difficult to make articulatory measurement in clinical consultations. Also in this paper, we illustrate a correspondence between the amplitude envelope kinematics and the lower lip kinematics (X-ray pellet history data) of one speaker reading one sentence. For future research, more speakers are needed to record both speech and articulatory signals to build a statistical model between the kinematics data of both domains.
منابع مشابه
Single station estimation of earthquake early warning parameters by using amplitude envelope curve
In this study, new empirical relationships to estimate key parameters in Earthquake Early Warning (EEW) system including magnitude, epicentral distance and Peak Ground Acceleration (PGA) are introduced based on features of the initial portion of P-wave’s amplitude envelope curve. For this purpose, 226 time series recorded by bore-hole accelerometers of Japanese KiK-net are processed for earthq...
متن کاملAm-demodulation of Speech Spectra and Its Application to Noise Robust Speech Recognition
In this paper, a novel algorithm that resembles amplitude demodulation in the frequency domain is introduced, and its application to automatic speech recognition (ASR) is studied. Speech production can be regarded as a result of amplitude modulation (AM) with the source (excitation) spectrum being the carrier and the vocal tract transfer function (VTTF) being the modulating signal. From this po...
متن کاملPlume outflow intrusion impact on acoustical signal fluctuations in a pre-stratified environment
Existence of outflow intrusion introduces small-scale turbulence that perturbs the vertically stratified character of the sound velocity and causes spatial and temporal fluctuations of the sound propagation. In this experimental study, we have investigated acoustic wave propagation with frequency of 50 kHz in a pre-stratified environment with intrusion of a turbulent plume while the si...
متن کاملAM-demodulation of speech spectra and its application io noise robust speech recognition
In this paper, a novel algorithm that resembles amplitude demodulation in the frequency domain is introduced, and its application to automatic speech recognition (ASR) is studied. Speech production can be regarded as a result of amplitude modulation (AM) with the source (excitation) spectrum being the carrier and the vocal tract transfer function (VTTF) being the modulating signal. From this po...
متن کاملAn Energy-Efficient Spike Encoding Circuit for Speech Edge Detection
In speech processing applications, the instantaneous bandwidth of speech can be used to adaptively control the performance of an audio sensor’s analog front end. Extracting the instantaneous bandwidth of speech depends on the detection of speech edges in the time-frequency plane. In this paper, we propose a spike encoding circuit for real-time and low-power speech edge detection. The circuit ca...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017