Evaluating the Impact of Discriminative and Generative E2E Speech Enhancement Models on Syllable Stress Preservation
Automatic syllable stress detection is a crucial component in Computer-Assisted Language
Learning (CALL) systems for language learners. Current stress detection models are …
Learning (CALL) systems for language learners. Current stress detection models are …
[PDF][PDF] Post-Net: A linguistically inspired sequence-dependent transformed neural architecture for automatic syllable stress detection
Automatic syllable stress detection methods typically consider syllable-level features as
independent. However, as per linguistic studies, there is a dependency among the syllables …
independent. However, as per linguistic studies, there is a dependency among the syllables …
[PDF][PDF] A comparative analysis of sequential models that integrate syllable dependency for automatic syllable stress detection
Automatic syllable stress detection is typically operated at syllable level with stress-related
acoustic features. The stress placed on a syllable is influenced not only by its own …
acoustic features. The stress placed on a syllable is influenced not only by its own …
A Preliminary Analysis of Automatic Word and Syllable Prominence Detection in Non-Native Speech With Text-to-Speech Prosody Embeddings
A Mondal, RS Bharadwaj, J Mallela… - arXiv preprint arXiv …, 2024 - arxiv.org
Automatic detection of prominence at the word and syllable-levels is critical for building
computer-assisted language learning systems. It has been shown that prosody embeddings …
computer-assisted language learning systems. It has been shown that prosody embeddings …
A Comparison of Learned Representations with Jointly Optimized VAE and DNN for Syllable Stress Detection
Automatic syllable stress detection is helpful in assessing L2 learners' pronunciation. In this
work, for stress detection, we propose a representation learning framework by jointly …
work, for stress detection, we propose a representation learning framework by jointly …
An end-to-end approach for lexical stress detection based on transformer
Y Ruan, X Wang, H Liu, Z Ou, Y Gao, J Cheng… - arXiv preprint arXiv …, 2019 - arxiv.org
The dominant automatic lexical stress detection method is to split the utterance into syllable
segments using phoneme sequence and their time-aligned boundaries. Then we extract …
segments using phoneme sequence and their time-aligned boundaries. Then we extract …
Exploring the Use of Self-Supervised Representations for Automatic Syllable Stress Detection
The task of automatically detecting syllable stress is a key module in computer-assisted
language learning systems. There are numerous studies proposed in the literature for …
language learning systems. There are numerous studies proposed in the literature for …