Spectrographic representations of speech, that is, sound spectrograms or simply spectrograms, are widely used in speech-related fields [1]. A speech signal consists of multiple frequency components dynamically changing in time. Therefore, a speech signal is often represented in the time-frequency plane. In the 1940’s, the spectrograph was invented to print spectrograms [1]. Today, we can easil
Example Fourier and cochlear model spectrogram decompositions for vocalizations and background envir...
In this paper, a Radial Basis Function-based Kalman filter has been utilized to in order to extended...
The speech signal of a word is a combination of frequencies which can produce specific transition fr...
This paper is part 5 in a series of papers about the Discrete Fourier Transform (DFT) and the Invers...
Spectrograms are perhaps the most commonly used method for studying the characteristics of speech wa...
Spectrograms of speech and audio signals are time-frequency densities, and by construction, they are...
Spectrograms of speech and audio signals are time-frequency densities, and by construction, they are...
Includes bibliographical references (pages 60-62).An audio spectrogram is a visual representation of...
This chapter aims at providing the reader with a short and comprehensive introduction to the spectro...
<p>a) Spectrogram representation for a sinusoidal sweep in logarithmic progression over time going f...
The formal tools of signal processing emerged in the mid twentieth century when electronics gave us ...
Lab Course Short-Time Fourier Transform and Chroma Features The Fourier transform, which is used to ...
The continuous wavelet transform and short time Fourier transform, both using the Gaussian function ...
The thesis describes generation of time-frequency-intensity graphs (spectrograms) of audio recording...
The thesis describes generation of time-frequency-intensity graphs (spectrograms) of audio recording...
Example Fourier and cochlear model spectrogram decompositions for vocalizations and background envir...
In this paper, a Radial Basis Function-based Kalman filter has been utilized to in order to extended...
The speech signal of a word is a combination of frequencies which can produce specific transition fr...
This paper is part 5 in a series of papers about the Discrete Fourier Transform (DFT) and the Invers...
Spectrograms are perhaps the most commonly used method for studying the characteristics of speech wa...
Spectrograms of speech and audio signals are time-frequency densities, and by construction, they are...
Spectrograms of speech and audio signals are time-frequency densities, and by construction, they are...
Includes bibliographical references (pages 60-62).An audio spectrogram is a visual representation of...
This chapter aims at providing the reader with a short and comprehensive introduction to the spectro...
<p>a) Spectrogram representation for a sinusoidal sweep in logarithmic progression over time going f...
The formal tools of signal processing emerged in the mid twentieth century when electronics gave us ...
Lab Course Short-Time Fourier Transform and Chroma Features The Fourier transform, which is used to ...
The continuous wavelet transform and short time Fourier transform, both using the Gaussian function ...
The thesis describes generation of time-frequency-intensity graphs (spectrograms) of audio recording...
The thesis describes generation of time-frequency-intensity graphs (spectrograms) of audio recording...
Example Fourier and cochlear model spectrogram decompositions for vocalizations and background envir...
In this paper, a Radial Basis Function-based Kalman filter has been utilized to in order to extended...
The speech signal of a word is a combination of frequencies which can produce specific transition fr...