Catálogo de publicaciones - libros
The Physics of Birdsong
Gabriel B. Mindlin Rodrigo Laje
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Biophysics and Biological Physics; Neurobiology; Acoustics; Animal Anatomy / Morphology / Histology
Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | 2005 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-25399-0
ISBN electrónico
978-3-540-28249-5
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2005
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2005
Cobertura temática
Tabla de contenidos
Elements of the Description
Gabriel B. Mindlin; Rodrigo Laje
In single-channel techniques for hands-free acoustic human/machine interfaces, we deal with waveforms which are functions of the continuous time. The aim of multi-channel sound capture is to exploit the structure of propagating waves, i.e., spatial and temporal properties in order to better meet the requirements of speech enhancement. The received signals are thus deterministic functions of position and of time, and, therefore, are called or . They have properties which are governed by the law of physics, in particular the wave equation. Just as temporal filtering can be described by temporal impulse responses, the wave propagation in acoustic environments can be modeled using space-time filters which are described by spatio-temporal impulse responses. Often, the deterministic model of space-time signals cannot be applied to acoustic signals, since audio signals can hardly be described by functions where each time instance is assigned a unique numerical value. The deterministic model of room impulse responses is not appropriate if the spatial extension of the source cannot be neglected since such spatio-temporal impulse responses of acoustic environments can generally not be described analytically. In such situations, it is more convenient to use statistical random .elds which are the ex tension of stochastic processes to multi-dimensional parameter spaces.
Pp. 1-15
Sources and Filters
Gabriel B. Mindlin; Rodrigo Laje
In single-channel techniques for hands-free acoustic human/machine interfaces, we deal with waveforms which are functions of the continuous time. The aim of multi-channel sound capture is to exploit the structure of propagating waves, i.e., spatial and temporal properties in order to better meet the requirements of speech enhancement. The received signals are thus deterministic functions of position and of time, and, therefore, are called or . They have properties which are governed by the law of physics, in particular the wave equation. Just as temporal filtering can be described by temporal impulse responses, the wave propagation in acoustic environments can be modeled using space-time filters which are described by spatio-temporal impulse responses. Often, the deterministic model of space-time signals cannot be applied to acoustic signals, since audio signals can hardly be described by functions where each time instance is assigned a unique numerical value. The deterministic model of room impulse responses is not appropriate if the spatial extension of the source cannot be neglected since such spatio-temporal impulse responses of acoustic environments can generally not be described analytically. In such situations, it is more convenient to use statistical random .elds which are the ex tension of stochastic processes to multi-dimensional parameter spaces.
Pp. 17-35
Anatomy of the Vocal Organ
Gabriel B. Mindlin; Rodrigo Laje
In single-channel techniques for hands-free acoustic human/machine interfaces, we deal with waveforms which are functions of the continuous time. The aim of multi-channel sound capture is to exploit the structure of propagating waves, i.e., spatial and temporal properties in order to better meet the requirements of speech enhancement. The received signals are thus deterministic functions of position and of time, and, therefore, are called or . They have properties which are governed by the law of physics, in particular the wave equation. Just as temporal filtering can be described by temporal impulse responses, the wave propagation in acoustic environments can be modeled using space-time filters which are described by spatio-temporal impulse responses. Often, the deterministic model of space-time signals cannot be applied to acoustic signals, since audio signals can hardly be described by functions where each time instance is assigned a unique numerical value. The deterministic model of room impulse responses is not appropriate if the spatial extension of the source cannot be neglected since such spatio-temporal impulse responses of acoustic environments can generally not be described analytically. In such situations, it is more convenient to use statistical random .elds which are the ex tension of stochastic processes to multi-dimensional parameter spaces.
Pp. 37-46
The Sources of Sound in Birdsong
Gabriel B. Mindlin; Rodrigo Laje
In single-channel techniques for hands-free acoustic human/machine interfaces, we deal with waveforms which are functions of the continuous time. The aim of multi-channel sound capture is to exploit the structure of propagating waves, i.e., spatial and temporal properties in order to better meet the requirements of speech enhancement. The received signals are thus deterministic functions of position and of time, and, therefore, are called or . They have properties which are governed by the law of physics, in particular the wave equation. Just as temporal filtering can be described by temporal impulse responses, the wave propagation in acoustic environments can be modeled using space-time filters which are described by spatio-temporal impulse responses. Often, the deterministic model of space-time signals cannot be applied to acoustic signals, since audio signals can hardly be described by functions where each time instance is assigned a unique numerical value. The deterministic model of room impulse responses is not appropriate if the spatial extension of the source cannot be neglected since such spatio-temporal impulse responses of acoustic environments can generally not be described analytically. In such situations, it is more convenient to use statistical random .elds which are the ex tension of stochastic processes to multi-dimensional parameter spaces.
Pp. 47-60
The Instructions for the Syrinx
Gabriel B. Mindlin; Rodrigo Laje
In single-channel techniques for hands-free acoustic human/machine interfaces, we deal with waveforms which are functions of the continuous time. The aim of multi-channel sound capture is to exploit the structure of propagating waves, i.e., spatial and temporal properties in order to better meet the requirements of speech enhancement. The received signals are thus deterministic functions of position and of time, and, therefore, are called or . They have properties which are governed by the law of physics, in particular the wave equation. Just as temporal filtering can be described by temporal impulse responses, the wave propagation in acoustic environments can be modeled using space-time filters which are described by spatio-temporal impulse responses. Often, the deterministic model of space-time signals cannot be applied to acoustic signals, since audio signals can hardly be described by functions where each time instance is assigned a unique numerical value. The deterministic model of room impulse responses is not appropriate if the spatial extension of the source cannot be neglected since such spatio-temporal impulse responses of acoustic environments can generally not be described analytically. In such situations, it is more convenient to use statistical random .elds which are the ex tension of stochastic processes to multi-dimensional parameter spaces.
Pp. 61-77
Complex Oscillations
Gabriel B. Mindlin; Rodrigo Laje
In single-channel techniques for hands-free acoustic human/machine interfaces, we deal with waveforms which are functions of the continuous time. The aim of multi-channel sound capture is to exploit the structure of propagating waves, i.e., spatial and temporal properties in order to better meet the requirements of speech enhancement. The received signals are thus deterministic functions of position and of time, and, therefore, are called or . They have properties which are governed by the law of physics, in particular the wave equation. Just as temporal filtering can be described by temporal impulse responses, the wave propagation in acoustic environments can be modeled using space-time filters which are described by spatio-temporal impulse responses. Often, the deterministic model of space-time signals cannot be applied to acoustic signals, since audio signals can hardly be described by functions where each time instance is assigned a unique numerical value. The deterministic model of room impulse responses is not appropriate if the spatial extension of the source cannot be neglected since such spatio-temporal impulse responses of acoustic environments can generally not be described analytically. In such situations, it is more convenient to use statistical random .elds which are the ex tension of stochastic processes to multi-dimensional parameter spaces.
Pp. 79-97
Synthesizing Birdsong
Gabriel B. Mindlin; Rodrigo Laje
In single-channel techniques for hands-free acoustic human/machine interfaces, we deal with waveforms which are functions of the continuous time. The aim of multi-channel sound capture is to exploit the structure of propagating waves, i.e., spatial and temporal properties in order to better meet the requirements of speech enhancement. The received signals are thus deterministic functions of position and of time, and, therefore, are called or . They have properties which are governed by the law of physics, in particular the wave equation. Just as temporal filtering can be described by temporal impulse responses, the wave propagation in acoustic environments can be modeled using space-time filters which are described by spatio-temporal impulse responses. Often, the deterministic model of space-time signals cannot be applied to acoustic signals, since audio signals can hardly be described by functions where each time instance is assigned a unique numerical value. The deterministic model of room impulse responses is not appropriate if the spatial extension of the source cannot be neglected since such spatio-temporal impulse responses of acoustic environments can generally not be described analytically. In such situations, it is more convenient to use statistical random .elds which are the ex tension of stochastic processes to multi-dimensional parameter spaces.
Pp. 99-112
From the Syrinx to the Brain
Gabriel B. Mindlin; Rodrigo Laje
In single-channel techniques for hands-free acoustic human/machine interfaces, we deal with waveforms which are functions of the continuous time. The aim of multi-channel sound capture is to exploit the structure of propagating waves, i.e., spatial and temporal properties in order to better meet the requirements of speech enhancement. The received signals are thus deterministic functions of position and of time, and, therefore, are called or . They have properties which are governed by the law of physics, in particular the wave equation. Just as temporal filtering can be described by temporal impulse responses, the wave propagation in acoustic environments can be modeled using space-time filters which are described by spatio-temporal impulse responses. Often, the deterministic model of space-time signals cannot be applied to acoustic signals, since audio signals can hardly be described by functions where each time instance is assigned a unique numerical value. The deterministic model of room impulse responses is not appropriate if the spatial extension of the source cannot be neglected since such spatio-temporal impulse responses of acoustic environments can generally not be described analytically. In such situations, it is more convenient to use statistical random .elds which are the ex tension of stochastic processes to multi-dimensional parameter spaces.
Pp. 113-132
Complex Rhythms
Gabriel B. Mindlin; Rodrigo Laje
In single-channel techniques for hands-free acoustic human/machine interfaces, we deal with waveforms which are functions of the continuous time. The aim of multi-channel sound capture is to exploit the structure of propagating waves, i.e., spatial and temporal properties in order to better meet the requirements of speech enhancement. The received signals are thus deterministic functions of position and of time, and, therefore, are called or . They have properties which are governed by the law of physics, in particular the wave equation. Just as temporal filtering can be described by temporal impulse responses, the wave propagation in acoustic environments can be modeled using space-time filters which are described by spatio-temporal impulse responses. Often, the deterministic model of space-time signals cannot be applied to acoustic signals, since audio signals can hardly be described by functions where each time instance is assigned a unique numerical value. The deterministic model of room impulse responses is not appropriate if the spatial extension of the source cannot be neglected since such spatio-temporal impulse responses of acoustic environments can generally not be described analytically. In such situations, it is more convenient to use statistical random .elds which are the ex tension of stochastic processes to multi-dimensional parameter spaces.
Pp. 133-149