3 papers
cs.SD2026
Sequence-Level Unsupervised Training in Speech Recognition: A Theoretical Study
Zijian Yang, Jörg Barkoczi, Ralf Schlüter +1
Unsupervised speech recognition is a task of training a speech recognition model with unpaired data. To determine when and how unsupervised speech recognition can succeed, and how…
cs.SD2025
Right Label Context in End-to-End Training of Time-Synchronous ASR Models
Tina Raissi, Ralf Schlüter, Hermann Ney
Current time-synchronous sequence-to-sequence automatic speech recognition (ASR) models are trained by using sequence level cross-entropy that sums over all alignments. Due to the…
cs.SD2024
Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality
Tina Raissi, Christoph Lüscher, Simon Berger +2
The ongoing research scenario for automatic speech recognition (ASR) envisions a clear division between end-to-end approaches and classic modular systems. Even though a high-level…