Prosodic phrasing is an important factor that affects naturalness and intelligibility in text-to-
speech synthesis. Studies show that deep learning techniques improve prosodic phrasing …

In this paper we introduce a new natural language processing dataset and benchmark for
predicting prosodic prominence from written text. To our knowledge this will be the largest …

Predicting prosodic boundaries from input text plays an important role in Chinese text-to-
speech (TTS) system, which directly influences the naturalness and intelligibility of …

In this paper, we propose a language-independent end-to-end architecture for prosodic
boundary prediction based on BLSTMCRF. The proposed architecture has three …

This work introduces approaches to assessing phrase breaks in ESL learners' speech using
pre-trained language models (PLMs) and large language models (LLMs). There are two …

Prosodic boundaries are still crucial to the naturalness of end-to-end speech synthesis
systems. This article proposes to use adversarial multi-task learning to predict prosodic …

In this paper, we propose a novel method to improve the performance and robustness of the
front-end text processing modules of Mandarin text-to-speech (TTS) synthesis. We use …

This paper outlines an approach to real-time music generation using melody and harmony
focused agents in a process inspired by jazz improvisation. A harmony agent employs a …

In the speech synthesis systems, the phrase break (PB) prediction is the first and most
important step. Recently, the state-of-the-art PB prediction systems mainly rely on word …

Purpose This study investigated how modulating fundamental frequency (f0) and speech
rate differentially impact the naturalness, intelligibility, and communication efficiency of …