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Found 5 papers, 2 papers with code
Speaker Embeddings as Individuality Proxy for Voice Stress Detection
However, the benchmark only evaluates performance separately on each dataset, but does not evaluate performance across the different types of stress and different languages.
Efficient Speech Quality Assessment using Self-supervised Framewise Embeddings
Automatic speech quality assessment is essential for audio researchers, developers, speech and language pathologists, and system quality engineers.
BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping
Our results indicate that the hybrid model with a convolutional transformer as the encoder yields superior performance in most HEAR challenge tasks.
Ranked #1 on
Self-Supervised Learning
on CREMA-D
MOSRA: Joint Mean Opinion Score and Room Acoustics Speech Quality Assessment
The acoustic environment can degrade speech quality during communication (e. g., video call, remote presentation, outside voice recording), and its impact is often unknown.
Neural Arabic Question Answering
Our system for open domain question answering in Arabic (SOQAL) is based on two components: (1) a document retriever using a hierarchical TF-IDF approach and (2) a neural reading comprehension model using the pre-trained bi-directional transformer BERT.
