Search Results for author: Timo Baumann

Found 17 papers, 3 papers with code

Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel’s Weekly Video Podcasts

1 code implementation LREC 2022 Debjoy Saha, Shravan Nayak, Timo Baumann

We introduce the Merkel Podcast Corpus, an audio-visual-text corpus in German collected from 16 years of (almost) weekly Internet podcasts of former German chancellor Angela Merkel.

Face Detection Speaker Recognition +1

Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video Podcasts

1 code implementation24 May 2022 Debjoy Saha, Shravan Nayak, Timo Baumann

We introduce the Merkel Podcast Corpus, an audio-visual-text corpus in German collected from 16 years of (almost) weekly Internet podcasts of former German chancellor Angela Merkel.

Face Detection Speaker Recognition +1

The Two Shades of Dubbing in Neural Machine Translation

no code implementations COLING 2020 Alina Karakanta, Supratik Bhattacharya, Shravan Nayak, Timo Baumann, Matteo Negri, Marco Turchi

Dubbing has two shades; synchronisation constraints are applied only when the actor{'}s mouth is visible on screen, while the translation is unconstrained for off-screen dubbing.

Machine Translation Translation +1

Integration of Dubbing Constraints into Machine Translation

no code implementations WS 2019 Ashutosh Saboo, Timo Baumann

Translation systems aim to perform a meaning-preserving conversion of linguistic material (typically text but also speech) from a source to a target language (and, to a lesser degree, the corresponding socio-cultural contexts).

Machine Translation Translation

Style Detection for Free Verse Poetry from Text and Speech

1 code implementation COLING 2018 Timo Baumann, Hussein Hussein, Burkhard Meyer-Sickendiek

Modern and post-modern free verse poems feature a large and complex variety in their poetic prosodies that falls along a continuum from a more fluent to a more disfluent and choppy style.

Decision Making

Analysis of Rhythmic Phrasing: Feature Engineering vs. Representation Learning for Classifying Readout Poetry

no code implementations COLING 2018 Timo Baumann, Hussein Hussein, Burkhard Meyer-Sickendiek

We show how to classify the phrasing of readout poems with the help of machine learning algorithms that use manually engineered features or automatically learn representations.

Feature Engineering Representation Learning

An Empirical Analysis of the Correlation of Syntax and Prosody

no code implementations15 Jun 2018 Arne Köhn, Timo Baumann, Oskar Dörfler

The relation of syntax and prosody (the syntax--prosody interface) has been an active area of research, mostly in linguistics and typically studied under controlled conditions.

Large-scale Analysis of Spoken Free-verse Poetry

no code implementations WS 2016 Timo Baumann, Burkhard Meyer-Sickendiek

On these, we intend to build our model of free verse prosody, which will help to understand, differentiate and relate the different styles of free verse poetry.

Speech Synthesis

Predictive Incremental Parsing Helps Language Modeling

no code implementations COLING 2016 Arne K{\"o}hn, Timo Baumann

We combine the forward-looking parser predictions with backward-looking N-gram histories and analyze in a set of experiments the impact on language models, i. e. stronger discriminative power but also higher data sparsity.

Language Modelling Sentence

Mining the Spoken Wikipedia for Speech Data and Beyond

no code implementations LREC 2016 Arne K{\"o}hn, Florian Stegen, Timo Baumann

There are initiatives to create and sustain spoken Wikipedia versions in many languages and hence the data is freely available, grows over time, and can be used for automatic corpus creation.

Sentence

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