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Found 7 papers, 1 papers with code
“splink” is happy and “phrouth” is scary: Emotion Intensity Analysis for Nonsense Words
This raises the question if the association is purely a product of the learned affective imports inherent to semantic meanings, or is also an effect of other features of words, e. g., morphological and phonological patterns.
Anonymising the SAGT Speech Corpus and Treebank
In this paper, we describe the anonymisation process of a Turkish-German code-switching corpus, namely SAGT, which consists of speech data and a treebank that is built on its transcripts.
The IMS Toucan System for the Blizzard Challenge 2023
For our contribution to the Blizzard Challenge 2023, we improved on the system we submitted to the Blizzard Challenge 2021.
Modeling Speaker-Listener Interaction for Backchannel Prediction
We present our latest findings on backchannel modeling novelly motivated by the canonical use of the minimal responses Yeah and Uh-huh in English and their correspondent tokens in German, and the effect of encoding the speaker-listener interaction.
"splink" is happy and "phrouth" is scary: Emotion Intensity Analysis for Nonsense Words
This raises the question if the association is purely a product of the learned affective imports inherent to semantic meanings, or is also an effect of other features of words, e. g., morphological and phonological patterns.
Effects of Word Embeddings on Neural Network-based Pitch Accent Detection
Pitch accent detection often makes use of both acoustic and lexical features based on the fact that pitch accents tend to correlate with certain words.
