- Interleaved Audio/Audiovisual Transfer Learning for AV|ASR in Low ...🔍
- Automatic speech recognition 🔍
- Timo Lohrenz🔍
- Parameter|Efficient Cross|Language Transfer Learning for a ...🔍
- Transfer learning🔍
- Improving Cross|Lingual Transfer Learning for End|to|End Speech ...🔍
- Jing Liu's research works🔍
- Intuitive Multilingual Audio|Visual Speech Recognition with a Single ...🔍
Interleaved Audio/Audiovisual Transfer Learning for AV|ASR in Low ...
Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low ...
Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low-Resourced Languages. Zhengyang Li1, Patrick Blumenberg1, Jing Liu2, Thomas ...
Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low ...
Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low-Resourced Languages · SID: H6EQJUEv · DOI: 10.21437/interspeech.2024-503 ...
Machine learning · Interleaved audio/audiovisual transfer learning for AV-ASR in low-resourced languages. Zhengyang Li, Patrick Blumenberg, Jing Liu ...
Interleaved audio/audiovisual transfer learning for AV-ASR in low-resourced languages. Z Li, P Blumenberg, J Liu, T Graave, T Lohrenz, S Kunzmann, ... 2024.
Timo Lohrenz - Google Scholar
Interleaved audio/audiovisual transfer learning for AV-ASR in low-resourced languages. Z Li, P Blumenberg, J Liu, T Graave, T Lohrenz, S Kunzmann, ... 2024.
Parameter-Efficient Cross-Language Transfer Learning for a ...
In audiovisual speech recognition (AV-ASR), for many languages only few audiovisual ... Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low- ...
Interleaved audio/audiovisual transfer learning for AV-ASR in low-resourced languages. Zhengyang Li, Patrick Blumenberg, Jing Liu, Thomas Graave ...
Improving Cross-Lingual Transfer Learning for End-to-End Speech ...
25 Citations · Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low-Resourced Languages · CoT-ST: Enhancing LLM-based Speech Translation with ...
Jing Liu's research works | Amazon and other places - ResearchGate
Jing Liu's 21 research works with 222 citations, including: Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low-Resourced Languages.
Intuitive Multilingual Audio-Visual Speech Recognition with a Single ...
48.1%) on the German MuAVIC test set. ... Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low-Resourced Languages. Conference Paper. Sep 2024.
Automatic Speech Recognition using Advanced Deep Learning ...
Recent advancements in ASR have been significantly propelled by the evolution of deep learning ( DL ) methodologies. An extensive range of DL models has been ...
A fMRI study of audio-visual training in virtual reality - ScienceDirect
Several studies provide evidence that multisensory integration occurs at low-level stages of sensory cortical processing and in subcortical structures (Beer and ...
Inter-language Transfer Learning for Visual Speech Recognition ...
Look- ing to listen at the cocktail party: A speaker- independent audio-visual model for speech sep- aration. arXiv preprint arXiv:1804.03619.
Audio Classification | Papers With Code
Recent advancements in self-supervised audio-visual representation learning have demonstrated its potential to capture rich and comprehensive representations.
Automatic Speech Recognition using Advanced Deep Learning ...
Improve ASR in low resource language ... Boes, et al., Audiovisual transfer learning for audio tagging and ... Demuynck, Transfer Learning for Robust Low-.
R2-Tuning: Efficient Image-to-Video Transfer Learning for Video ...
236K ASR Cap. 59.78 40.33. 60.51 35.36 ... visual and audio learning for video highlight ... video highlight detection with low-rank audio-visual fusion.
A survey on deep reinforcement learning for audio-based applications
Automatic speech recognition (ASR) is the process of converting a speech signal into its corresponding text by using algorithms. Contemporary ...
An Overview of Deep-Learning-Based Audio-Visual Speech ...
s-th target speaker at the microphone (including low-order reflections), dc[n] is the signal from the c-th noise source as observed at the microphone and d[n] ...
Audio-Visual Model Distillation Using Acoustic Images
Current methods, even best deep learning models, lead to very low classification accuracies [14, 28] in such condi- tions. Hence, in essence, in this work we ...
2333, ACTIVE EXPLAINABLE RECOMMENDATION WITH LIMITED LABELING BUDGETS ; 5967, ACTIVE LEARNING FOR SOUND EVENT CLASSIFICATION USING BAYESIAN ...