Keywords:
- adaptation
- ADS-B data
- Air traffic control
- air traffic control communications
- AM
- Anti-spoofing
- audio and voice analysis
- Automatic Speech Recognition
- automatic speech recognition and understanding
- batch norm
- batch normalization
- bayesian fusion
- Call-sign Recognition
- Contextual Adaptation
- contextual biasing
- Convolutional Neural Networks
- Cross-modal Alignment
- Cross-modal Attentio
- Cross-modal Attention
- ctc
- deep neural networks
- depression detection
- domain adaptation
- e2e-lfmmi
- entity linking
- F1 score
- fine-tuning
- finite-state transducers
- FM
- Forensics
- GPU decoding
- Graph Neural Networks
- Human-Computer Interaction
- i-vector
- i-vectors
- Intent Classification
- inter-task fusion
- Interpretability
- Interpretable Models
- knowledge distillation
- language identification
- Language Production
- LEA
- limited training data
- Linear prediction
- logistic regression
- low-resource
- Mental Lexicon
- multi-lingual automatic speech recognition
- multi-lingual SAD
- Multilingual automatic speech recognition
- multitask learning
- node weighted graphs
- online speech recognition
- OOV-word recognition
- OpenSky Network
- OSINT
- out-of-domain
- rare word recognition
- real-time speech recognition
- Speaker change detection
- speaker clustering
- Speaker identification
- speaker recognition
- speaker role detection
- speaker turn detection
- speaker verification
- Speech activity detection
- speech dataset
- speech recognition
- Spoken Language Understanding
- subspace Gaussian mixture models
- supervised adaptation
- Text classification
- transfer learning
- transformers
- user identity linkage
- wav2vec 2.0
- wav2vec2
- Word Consensus Networks
- Word-Confusion-Networks
Publications of Srikanth Madikeri sorted by first author
S
| Idiap submission to the NIST SRE 2019 Speaker Recognition Evaluation, , , , and , Idiap-RR-15-2019 |
|
| Speech Activity Detection Based on Multilingual Speech Recognition System, , and , in: Interspeech, 2021 |
|
| Supervised domain adaptation for text-independent speaker verification using limited data, , , and , in: Interspeech, pages 3815-3819, 2020 |
[URL] |
| Speaker recognition on mono-channel telephony recordings, , , , and , in: The Speaker and Language Recognition Workshop, 2022 |
|
T
| Feature Switching in the i-vector Framework for Speaker Verification, , , , and , in: Proc. of Interspeech 2014, pages 5, 2014 |
V
| 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 |
|
| Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks, , , , , , , , and , in: Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, 2023 |
|
| Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings, , , , and , Idiap-RR-06-2022 |
|
| Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings, , , , and , in: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, 2022 |
[DOI] |
| Probability-Aware Word-Confusion-Network-to-Text Alignment Approach for Intent Classification, , , , , , , and , in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, 2024 |
| Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model, , and , Idiap-RR-04-2021 |
|
| Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model, , and , in: Proceedings of Interspeech, 2021 |
[URL] |
| LATTICE-FREE MMI ADAPTATION OF SELF-SUPERVISED PRETRAINED ACOUSTIC MODELS, , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 |
[URL] |
| LATTICE-FREE MMI ADAPTATION OF SELF-SUPERVISED PRETRAINED ACOUSTIC MODELS, , and , Idiap-RR-40-2020 |
[URL] |