Keywords:
- ADS-B data
- air surveillance data
- Air traffic control
- air traffic control communications
- air traffic controller’s workload
- air traffic management
- AM
- Artificial intelligence
- Assistant Based Speech Recognition
- Automatic Speech Recognition
- automatic speech recognition and understanding
- automatic speech understanding
- call sign detection
- Call-sign Recognition
- chunking
- Contextual Adaptation
- contextual biasing
- diarization
- domain adaptation
- fine-tuning
- FM
- GDPR
- human factors
- language identification
- language modeling
- legal framework
- Linear prediction
- low-resource
- MFCC
- multitask acoustic modeling
- named entity recognition
- Natural language processing
- OpenSky Network
- out-of-domain
- personal data processing
- PLDA
- rare word recognition
- Robust Automatic Speech Recognition
- saftety
- self-supervised pre-training
- signal processing
- situation awareness
- Speaker change detection
- speaker clustering
- speaker recognition
- speaker role classification
- speaker role detection
- speaker role identification
- Spoken Language Understanding
- Text-based speaker diarization
- transformers
- wav2vec 2.0
- wav2vec2
- XLS-R
Publications of Amrutha Prasad sorted by title
A
| A two-step approach to leverage contextual data: speech recognition in air-traffic communications, , , , and , in: Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 |
|
| A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers, , , , and , in: Aerospace, 10(5), 2023 |
[DOI] [URL] |
| AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS, , , , and , Idiap-RR-01-2020 |
|
| AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS, , , , and , in: 11th International workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, Universita Degli Studi Firenze, Firenze, Italy, 2019 |
[URL] |
| An Automatic Speaker Clustering Pipeline for the Air Traffic Communication Domain, , , , , , and , in: Aerospace, 10(10):876, 2023 |
[DOI] [URL] |
| Automated Interpretation of Air Traffic Control Communication: The Journey from Spoken Words to a Deeper Understanding of the Meaning, , , , , , , and , in: 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), San Antonio, TX, USA, pages 1-9, IEEE, 2021 |
[DOI] |
| Automatic Call Sign Detection: Matching Air Surveillance Data with Air Traffic Spoken Communications, , , , , , , , , , , , , , , and , in: Proceedings of 8th OpenSky Symposium 2020, OpenSky Network, pages 1-10, MDPI, 2020 |
[DOI] [URL] |
| Automatic processing pipeline for collecting and annotating air-traffic voice communication data, , , , , , , , , and , in: Proceedings of 9th OpenSky Symposium 2020, OpenSky Network, Brussels, Belgium, pages 1-9, MDPI, 2021 |
|
| Automatic Speech Analysis Framework for ATC Communication in HAAWAII, , , , , and , in: 13th SESAR Innovation Days, 2023 |
|
| Automatic Speech Recognition and Understanding for Radar Label Maintenance Support Increases Safety and Reduces Air Traffic Controllers’ Workload, , , , , , , , , , , and , in: Fifteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2023), Eurocontrol (Europe), FAA (U.S.), Savannah, Georgia, USA, 2023 |
[URL] |
| Automatic Speech Recognition Engines Adapted for Embedded Platforms, , Idiap-Com-01-2020 |
|
B
| BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications, , , , , , and , Idiap-RR-15-2021 |
| BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control Communications, , , , , , and , in: 2023 IEEE Spoken Language Technology Workshop (SLT), IEEE, 2023 |
[URL] |
C
| CONTEXTUAL BIASING METHODS FOR IMPROVING RARE WORD DETECTION IN AUTOMATIC SPEECH RECOGNITION, , , , , , , and , in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Korea, 2024 |
|
| Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems, , , , , , and , Idiap-RR-14-2021 |
[URL] |
| Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems, , , , , , and , in: Interspeech 2021, 2021 |
[URL] |
F
| 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), 2024 |
|
G
| Grammar Based Identification Of Speaker Role For Improving ATCO And Pilot ASR, , , , , , and , Idiap-RR-22-2021 |
|
| Grammar Based Speaker Role Identification for Air Traffic Control Speech Recognition, , , , , , and , in: 12th SESAR Innovation Days, 2022 |
|
H
| How Does Pre-trained Wav2Vec 2.0 Perform on Domain-Shifted ASR? An Extensive Benchmark on Air Traffic Control Communications, , , , , , , , and , in: 2023 IEEE Spoken Language Technology Workshop (SLT), IEEE, 2023 |
[URL] |
I
| IDIAP SUBMISSION TO NIST LRE22 LANGUAGE RECOGNITION EVALUATION, , , and , Idiap-Internal-RR-54-2022 |
|
L
| Language model domain adaptation for automatic speech recognition, , and , Idiap-RR-05-2020 |
|
| Lessons Learned in Transcribing 5000 h of Air Traffic Control Communications for Robust Automatic Speech Understanding, , , , , , , , , , and , in: Aerospace, 10(10):898, 2023 |
[DOI] [URL] |
M
| Measuring Speech Recognition And Understanding Performance in Air Traffic Control Domain Beyond Word Error Rates, , , , , , , , and , in: 11th SESAR Innovation Days, 2021 |
|
N
| Normalizing Flows for Speaker and Language Recognition Backend, , , , and , in: Odyssey 2024: The Speaker and Language Recognition Workshop, 2024 |
|
P
| Parameter-Efficient Tuning With Adaptive Bottlenecks For Automatic Speech Recognition, , , , , and , in: Proc. of the IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU'23, 2023 |
|
R
| Readback Error Detection by Automatic Speech Recognition to Increase ATM Safety, , , , , , , , , , , , , and , in: Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021), The United States Federal Aviation Administration (FAA), EUROCONTROL, pages 10, 2021 |
[URL] |
S
| Speech and Language Recognition with Low-rank Adaptation of Pretrained Models, , , , and , in: Interspeech 2024, 2024 |
|
| Speech and Natural Language Processing Technologies for Pseudo-Pilot Simulator, , , , , and , in: 12th SESAR Innovation Days, 2022 |
|