11 citations · 31 across the 11 of their papers we have counts for
12 papers
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
Xin Wang, Junichi Yamagishi, Massimiliano Todisco +37
Automatic speaker verification (ASV) is one of the most natural and convenient means of biometric person recognition. Unfortunately, just like all other biometric systems, ASV is v…
Studying Mutual Phonetic Influence with a Web-Based Spoken Dialogue System
Eran Raveh, Ingmar Steiner, Iona Gessinger +1
This paper presents a study on mutual speech variation influences in a human-computer setting. The study highlights behavioral patterns in data collected as part of a shadowing exp…
A Multimodal Corpus of Expert Gaze and Behavior during Phonetic Segmentation Tasks
Arif Khan, Ingmar Steiner, Yusuke Sugano +2
Phonetic segmentation is the process of splitting speech into distinct phonetic units. Human experts routinely perform this task manually by analyzing auditory and visual cues usin…
Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platform
Ingmar Steiner, Sébastien Le Maguer
We present a new workflow to create components for the MaryTTS text-to-speech synthesis platform, which is popular with researchers and developers, extending it to support new lang…
A real-time framework for visual feedback of articulatory data using statistical shape models
Kristy James, Alexander Hewer, Ingmar Steiner +1
We present a novel open-source framework for visualizing electromagnetic articulography (EMA) data in real-time, with a modular framework and anatomically accurate tongue and palat…
Synthesis of Tongue Motion and Acoustics from Text using a Multimodal Articulatory Database
Ingmar Steiner, Sébastien Le Maguer, Alexander Hewer
We present an end-to-end text-to-speech (TTS) synthesis system that generates audio and synchronized tongue motion directly from text. This is achieved by adapting a 3D model of th…
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal Tract
Alexander Hewer, Stefanie Wuhrer, Ingmar Steiner +1
We present a multilinear statistical model of the human tongue that captures anatomical and tongue pose related shape variations separately. The model is derived from 3D magnetic r…
A statistical shape space model of the palate surface trained on 3D MRI scans of the vocal tract
Alexander Hewer, Ingmar Steiner, Timo Bolkart +2
We describe a minimally-supervised method for computing a statistical shape space model of the palate surface. The model is created from a corpus of volumetric magnetic resonance i…
Speech animation using electromagnetic articulography as motion capture data
Ingmar Steiner, Korin Richmond, Slim Ouni
Electromagnetic articulography (EMA) captures the position and orientation of a number of markers, attached to the articulators, during speech. As such, it performs the same functi…
Using multimodal speech production data to evaluate articulatory animation for audiovisual speech synthesis
Ingmar Steiner, Korin Richmond, Slim Ouni
The importance of modeling speech articulation for high-quality audiovisual (AV) speech synthesis is widely acknowledged. Nevertheless, while state-of-the-art, data-driven approach…
Artimate: an articulatory animation framework for audiovisual speech synthesis
Ingmar Steiner, Slim Ouni
We present a modular framework for articulatory animation synthesis using speech motion capture data obtained with electromagnetic articulography (EMA). Adapting a skeletal animati…
Progress in animation of an EMA-controlled tongue model for acoustic-visual speech synthesis
Ingmar Steiner, Slim Ouni
We present a technique for the animation of a 3D kinematic tongue model, one component of the talking head of an acoustic-visual (AV) speech synthesizer. The skeletal animation app…