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Found 4 papers, 4 papers with code
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
REBORN alternates between (1) training a segmentation model that predicts the boundaries of the segmental structures in speech signals and (2) training the phoneme prediction model, whose input is the speech feature segmented by the segmentation model, to predict a phoneme transcription.
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.
