Keywords:
- Aho-Corasick algorithm
- ASR
- ASR robustness
- automatic speech recognition (ASR)
- Contextualisation and adaptation of ASR
- Data Selection
- domain adaptation
- Domain Classification
- Dual mode encoder
- fine-tuning
- language identification
- LLM-based ASR
- low-resource
- MFCC
- multitask training
- named entity recognition
- out-of-domain
- PLDA
- prompt projection
- real-time ASR
- Speaker change detection
- speech recognition
- Speech-to-LLM alignment
- streaming ASR
- text denoising
- Text fine-tuning
- transformer transducer
- transformers
- wav2vec2
- whisper
- XLS-R
- XLSR-Transducer
- Zipformer
Publications of Andrés Carofilis sorted by recency
| Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering, , , , , , , , , , , , and , in: Interspeech 2025, Rotterdam, The Netherlands, pages 3618--3622, 2025 |
[DOI] [URL] |
| Unifying Global and Near-Context Biasing in a Single Trie Pass., , , , , , , , , , , and , in: Text, Speech, and Dialogue. TSD 2025. Lecture Notes in Computer Science, Springer, Springer, 2025 |
[DOI] [URL] |
| TokenVerse++: Towards Flexible Multitask Learning with Dynamic Task Activation, , , , , , , , , , and , in: 2025 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), IEEE, 2025 |
|
| Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering, , , , , , , , , , , , and , in: Proc. Interspeech, 2025 |
|
| Speech Data Selection for Efficient ASR Fine-Tuning using Domain Classifier and Pseudo-Label Filtering, , , , , , , , , , , and , in: 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), 2025 |
[DOI] [URL] |
| TEAM SWITZERLAND SUBMISSION TO NIST SRE24 SPEAKER RECOGNITION EVALUATION, , , , , , , , , , , , and , Idiap-RR-10-2025 |
|
| Fine-tuning Self-Supervised Models For Language Identification Using Orthonormal Constraint, , , , , , and , in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), pages 11921-11925, 2024 |
[DOI] |