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Teaching Speech Signal Processing Fundamentals in Undergraduate Class Using an Interactive GUI
R Rajan, ARA Mahadev, P Arjun… - 2024 32nd European …, 2024 - ieeexplore.ieee.org
This paper introduces an interactive GUI to teach speech signal processing fundamentals to
undergraduate students. Traditional teaching methods often struggle to convey complex …
undergraduate students. Traditional teaching methods often struggle to convey complex …
[PDF][PDF] Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models
M Chen, C Miao, J Ma, S Wang, J **ao - Proc. INTERSPEECH, 2023 - isca-archive.org
Abstract Detection of Alzheimer's Dementia (AD) is crucial for timely intervention to slow
down disease progression. Using spontaneous speech to detect AD is a non-invasive …
down disease progression. Using spontaneous speech to detect AD is a non-invasive …
Analysis of Various Self-Supervised Learning Models for Automatic Pronunciation Assessment
The advancement of Automatic Pronunciation Assessment (APA) systems has been
significantly improved by Self-supervised Learning (SSL) models. However, despite these …
significantly improved by Self-supervised Learning (SSL) models. However, despite these …
[PDF][PDF] TOWARDS SPEECH-BASED WEB APP DEVELOPMENT
I VASILIȚA, A IFTENE - LINGUISTIC RESOURCES AND TOOLS … - conferences.info.uaic.ro
The development of software applications is a complex and time-consuming process that
requires expertise in multiple areas such as programming languages, frameworks, and …
requires expertise in multiple areas such as programming languages, frameworks, and …