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 (ASR)
- automatic speech recognition and understanding
- batch norm
- batch normalization
- bayesian fusion
- Call-sign Recognition
- Contextual Adaptation
- contextual biasing
- conversational modeling
- Convolutional Neural Networks
- Cross-modal Alignment
- Cross-modal Attentio
- Cross-modal Attention
- ctc
- Data Selection
- deep neural networks
- depression detection
- domain adaptation
- Domain Classification
- 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
- multitask training
- named entity recognition
- node weighted graphs
- online speech recognition
- OOV-word recognition
- OpenSky Network
- OSINT
- out-of-domain
- rare word recognition
- real-time speech recognition
- ROXANNE
- ROXSD
- sentence embeddings
- 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 dialogue systems
- Spoken Language Understanding
- subspace Gaussian mixture models
- supervised adaptation
- task-oriented dialog
- Text classification
- transfer learning
- transformers
- user identity linkage
- wav2vec 2.0
- wav2vec2
- whisper
- Word Consensus Networks
- Word-Confusion-Networks
- XLSR-Transducer
- Zipformer
Publications of Srikanth Madikeri sorted by first author
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| AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS, , , , and , Idiap-RR-01-2020 |
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| 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 |
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| 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] |
| IDIAP SUBMISSION TO NIST LRE22 LANGUAGE RECOGNITION EVALUATION, , , and , Idiap-Internal-RR-54-2022 |
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| Speech and Language Recognition with Low-rank Adaptation of Pretrained Models, , , , and , in: Interspeech 2024, pages 2825--2829, 2024 |
[DOI] [URL] |
S
| Idiap submission to the NIST SRE 2019 Speaker Recognition Evaluation, , , , and , Idiap-RR-15-2019 |
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| Speech Activity Detection Based on Multilingual Speech Recognition System, , and , in: Interspeech, 2021 |
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| Supervised domain adaptation for text-independent speaker verification using limited data, , , and , in: Interspeech, pages 3815-3819, 2020 |
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| Speaker recognition on mono-channel telephony recordings, , , , and , in: The Speaker and Language Recognition Workshop, 2022 |
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| Feature Switching in the i-vector Framework for Speaker Verification, , , , and , in: Proc. of Interspeech 2014, pages 5, 2014 |
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| 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 |
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| Expanded Lattice Embeddings for Spoken Document Retrieval on Informal Meetings, , , , and , Idiap-RR-06-2022 |
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| 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, Seoul, Republic of Korea, pages 12617-12621, IEEE, 2024 |
[DOI] [URL] |
| 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 |
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| Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model, , and , Idiap-RR-04-2021 |
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| Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model, , and , in: Proceedings of Interspeech, 2021 |
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| 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 |
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| LATTICE-FREE MMI ADAPTATION OF SELF-SUPERVISED PRETRAINED ACOUSTIC MODELS, , and , Idiap-RR-40-2020 |
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| 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] |