5 papers · 1 filter
Aligning Pre-trained Models for Spoken Language Translation
Šimon Sedláček, Santosh Kesiraju, Alexander Polok +1
This paper investigates a novel approach to end-to-end speech translation (ST) based on aligning frozen pre-trained automatic speech recognition (ASR) and machine translation (MT)…
Improving Automatic Speech Recognition with Decoder-Centric Regularisation in Encoder-Decoder Models
Alexander Polok, Santosh Kesiraju, Karel Beneš +2
This paper proposes a simple yet effective way of regularising the encoder-decoder-based automatic speech recognition (ASR) models that enhance the robustness of the model and impr…
State-of-the-art Embeddings with Video-free Segmentation of the Source VoxCeleb Data
Sara Barahona, Ladislav Mošner, Themos Stafylakis +4
In this paper, we refine and validate our method for training speaker embedding extractors using weak annotations. More specifically, we use only the audio stream of the source Vox…
CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification
Junyi Peng, Ladislav Mošner, Lin Zhang +4
Self-supervised learning (SSL) models for speaker verification (SV) have gained significant attention in recent years. However, existing SSL-based SV systems often struggle to capt…
Beyond the Labels: Unveiling Text-Dependency in Paralinguistic Speech Recognition Datasets
Jan Pešán, Santosh Kesiraju, Lukáš Burget +1
Paralinguistic traits like cognitive load and emotion are increasingly recognized as pivotal areas in speech recognition research, often examined through specialized datasets like…