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Dietmar Jackèl

dblp:189/2656 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Audio and music processing · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing › speech synthesis
articulatory synthesis
0.112007
Simulation of Losses Due to Turbulence in the Time-Varying Vocal System · IEEE Trans. Speech Audio Process. 2007

Methods — techniques the papers use, named apart from their topics

distributed pressure loss model · 0.1articulatory synthesizer · 0.1
YearPublicationVenuePosition
2007 Simulation of Losses Due to Turbulence in the Time-Varying Vocal System
abstract
Flow separation in the vocal system at the outlet of a constriction causes turbulence and a fluid dynamic pressure loss. In articulatory synthesizers, the pressure drop associated with such a loss is usually assumed to be concentrated at one specific position near the constriction and is represented by a lumped nonlinear resistance to the flow. This paper highlights discontinuity problems of this simplified loss treatment when the constriction location changes during dynamic articulation. The discontinuities can manifest as undesirable acoustic artifacts in the synthetic speech signal that need to be avoided for high-quality articulatory synthesis. We present a solution to this problem based on a more realistic distributed consideration of fluid dynamic pressure changes. The proposed method was implemented in an articulatory synthesizer where it proved to prevent any acoustic artifacts
Peter Birkholz, Dietmar Jackèl, Bernd J. Kröger
IEEE Trans. Speech Audio Process.2
2006 Construction And Control Of A Three-Dimensional Vocal Tract Model
abstract
We present a novel 3D vocal tract model and a method to control the articulatory movements of the model. The vocal tract model consists of 7 wireframe meshes that represent the three dimensional surfaces of the articulators and the vocal tract walls. 23 parameters determine the shape of the meshes. The articulatory movements in terms of the parameter curves are generated from a gestural description of an utterance. The work presented here is an integral part of a complete articulatory speech synthesizer for high quality synthesis
Peter Birkholz, Dietmar Jackèl, Bernd J. Kröger
ICASSP (1)2
2004 Influence of temporal discretization schemes on formant frequencies and bandwidths in time domain simulations of the vocal tract system
abstract
A time domain simulation of acoustic propagation in the vocal tract requires the spatial and temporal discretization of the equations of motion and continuity. In the classic transmission line model of the vocal tract with lumped elements, the spatial discretization is provided by the piece-wise constant area function. The temporal finitedifference approximation of the differential equations can, however, vary from one implementation to the other (e.g., [4] vs. [5]). In this study, we have adopted a general finite-difference scheme that depends on a parameter θ where 0 ≤ θ ≤ 1. As special cases, this general method includes the trapezoid rule (θ = 0.5) as well as the implicit (θ = 1) and explicit (θ = 0) finite-difference schemes. We have examined how formant frequencies and bandwidths of simulated vowels are effected by the choice of θ. The experiments were conducted for the sampling rates of 44.1 kHz and 88.2 kHz and compared with the accurate and thus desirable frequencies and bandwidths measured in frequency domain simulations of the vocal tract. It can be shown that optimal values for θ are slightly above 0.5 depending on the sampling rate.
Peter Birkholz, Dietmar Jackèl
INTERSPEECH2