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Found 4 papers, 3 papers with code
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
A word/phoneme in the speech signal is represented by a segment of speech signal with variable length and unknown boundary, and this segmental structure makes learning the mapping between speech and text challenging, especially without paired data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models
Audio-visual representation learning aims to develop systems with human-like perception by utilizing correlation between auditory and visual information.
Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken Sentences
The goal is to determine the spoken sentences' hierarchical syntactic structure in the form of constituency parse trees, such that each node is a span of audio that corresponds to a constituent.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
On the Utility of Self-supervised Models for Prosody-related Tasks
We find that 13 of the 15 SSL models outperformed the baseline on all the prosody-related tasks.
