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Found 7 papers, 2 papers with code
Investigating the Utility of Surprisal from Large Language Models for Speech Synthesis Prosody
We explore how word surprisal extracted from large language models (LLMs) correlates with word prominence, a signal-based measure of the salience of a word in a given discourse.
The Power of Prosody and Prosody of Power: An Acoustic Analysis of Finnish Parliamentary Speech
Parliamentary recordings provide a rich source of data for studying how politicians use speech to convey their messages and influence their audience.
North Sámi Dialect Identification with Self-supervised Speech Models
The North S\'{a}mi (NS) language encapsulates four primary dialectal variants that are related but that also have differences in their phonology, morphology, and vocabulary.
What does BERT learn about prosody?
Language models have become nearly ubiquitous in natural language processing applications achieving state-of-the-art results in many tasks including prosody.
Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing
When recognizing emotions from speech, we encounter two common problems: how to optimally capture emotion-relevant information from the speech signal and how to best quantify or categorize the noisy subjective emotion labels.
Extracting speaker and emotion information from self-supervised speech models via channel-wise correlations
Self-supervised learning of speech representations from large amounts of unlabeled data has enabled state-of-the-art results in several speech processing tasks.
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations
In this paper we introduce a new natural language processing dataset and benchmark for predicting prosodic prominence from written text.
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Prosody Prediction
on Helsinki Prosody Corpus
