Prosody in context: a review

By Jennifer Cole. 2015

206 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology, Language and Linguistics

View Paper: https://www.semanticscholar.org/paper/f03df59311ecff3ab229f59058d091c123dfacb6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shinnosuke Takamichi
2. Hiroshi Saruwatari
3. Ashish Kulkarni
4. Martti Vainio
5. Detai Xin
6. Sofoklis Kakouros
7. Antti Suni
8. Federico Ang

In Experimental and Cognitive Psychology

1. Hiroshi Saruwatari
2. Shinnosuke Takamichi

Citations in the corpus

• Improving Speech Prosody of Audiobook Text-To-Speech Synthesis with Acoustic and Textual Contexts (2022, background): “Synthesizing such speech requires the system to not only transform linguistic information but also para-/non-linguistic information such as emotions, and intentions from text to speech [4, 5, 6].”
• Investigating the Utility of Surprisal from Large Language Models for Speech Synthesis Prosody (2023, background): “This is typically encoded in speech through variations in pitch, rhythm, and timing [11].”
• Can Prosodic Style Be Inferred from Text Alone? Evidence from Unsupervised Acoustic Clusters (2026, unknown): “What is tractable is the weaker claim that textual content is not prosodically neutral , consistent with long-standing evidence that intonation and speaking style reflect discourse structure and communicative intent [17], [18].”