Acoustic Theory Of Speech Production

By G. Fant. 1960

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Citations in the corpus

WaveNet: A Generative Model for Raw Audio (2016, neutral): “From the source-ﬁlter model of speech production (Chiba & Kajiyama, 1942; Fant, 1970) point of view, this is equivalent to assuming that a vocal source excitation signal is a sample from a Gaussian distribution (Itakura & Saito, 1970; Imai & Furuichi, 1988; Poritz, 1982; Juang & Rabiner, 1985;…”
Text-to-Speech Synthesis (2009, background): “Such models often come under the heading of the Acoustic Theory of Speech Production, which refers both to the general field of research in mathematical s peech production models, and to the book of that title by Fant [158].”
Automatic speech recognition and speech variability: A review (2007, background): “The vocal tract, can be modeled by a tube resonator (Fant, 1960; Laver, 1994).”
Vocal signalling of male southern elephant seals is honest but imprecise (2007, background): “The source-filter theory of human vocal production (Fant 1960) has been applied recently to nonhuman mammalian vocalizations, providing new opportunities to investigate honest signalling by investigating relationships between spectral properties of vocalization and phenotype at the individual level ”
Black and White Colobus Monkey (Colobus guereza) Roars as a Source of Both Honest and Exaggerated Information About Body Mass (2006, background): “Formant positions, which show up as frequency bands in a spectrogram, are determined primarily by the length of the vocal tract (Fant 1960; Lieberman & Blumstein 1988); vocal tract shape plays an additional, secondary role.”
The information content of giant panda, Ailuropoda melanoleuca, bleats: acoustic cues to sex, age and size. (2009, background): “The source–filter theory of vocal production (Fant 1960) explicitly links acoustic features of mammal calls to their production mechanisms, allowing researchers to identify acoustic characteristics with the potential to provide receivers with direct information on the callers phenotype and/or…”
Finite Discrete Gabor Analysis (2007, methodology): “3 Feature extraction using formants Formants [29] in phonetics are considered as the resonant frequencies of the human vocal tract and this information is for example used for speaker recognition [89].”
The processing of audio-visual speech: empirical and neural bases (2008, methodology): “THE SOURCE–FILTER MODEL OF SPEECH: SOME APPLICATIONS TO SPEECH-READING A model of speech production can be constructed based on the physical characteristics of the system that is used to produce speech ( Fant 1960; Diehl 2008).”
Speech Synthesis Based on Hidden Markov Models (2013, methodology): “This implementation is based on the source filter theory of voice production [41] and is therefore called the source filter model.”
Size Communication in domestic dog (Canis familiaris) growls. (2010, unknown): “The glottal wave subsequently travels through the vocal tract, which acts as a filter, generating broad bands of energy called ‘formants’ at its resonant frequencies (Fant 1960; Titze 1994).”
Prospects for articulatory synthesis: A position paper (2001, background): “Fantestablishedthattheareafunction,ratherthanthe detailedcross-sectional shapeof the tract,wassufficient to modelspeechsounds[7].”
Vocal Expression of Emotions in Mammals: Mechanisms of Production and Evidence (2012, background): “Humans benefit from enhanced motor control and flexibility of the vocal articulators (tongue, lips, velum, jaw, etc.), allowing us to create different patterns of changes in F1 and F2 (Fant, 1960).”
Manipulations of fundamental and formant frequencies influence the attractiveness of human male voices (2005, background): “The source–filter model of vocal production (Chiba & Kajiyama 1941; Fant 1960) assumes that there is a source (the vocal cords) and a filter (the supralaryngeal vocal tract, hereafter referred to as vocal tract).”
Anatomical constraints generate honesty: acoustic cues to age and weight in the roars of red deer stags (2003, background): “The recent generalization of the ‘source–filter’ theory of voice production (Fant 1960) to mammals other than humans (primates: Lieberman et al.”
Chunked Autoregressive GAN for Conditional Waveform Synthesis (2021, methodology): “, 2020), source-filter models (Fant, 1970), and generative adversarial networks (GANs) (Goodfellow et al.”
A Neural Vocoder With Hierarchical Generation of Amplitude and Phase Spectra for Statistical Parametric Speech Synthesis (2019, methodology): “such as STRAIGHT [6] and WORLD [7] which are designed based on the source-filter model of speech production [8], have been popularly applied in current SPSS systems.”
Vertebrate Sound Production and Acoustic Communication (2016, methodology): “This group made use of the new measurement tools to verify and extend Chiba and Kajiyama’s ideas, which culminated in Fant’s magnum opus (Fant 1960 ) that essentially established source-fi lter 1 Vertebrate Vocal Production: An Introductory Overview 4 theory as the standard modern model of speech…”
Vocal indicators of body size in men and women: a meta-analysis (2014, background): “Differences in the predictive power of individual formants may also be tied to differences in how these formants relate to various cavities of the vocal tract across development and in adulthood (Fant, 1960, p. 121; Fitch & Giedd, 1999; Turner et al., 2009).”