Keywords:
- adaptation
- ADS-B data
- Aho-Corasick algorithm
- Air traffic control
- air traffic control communications
- AM
- Anti-spoofing
- ASR
- ASR robustness
- 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
- Contextualisation and adaptation of ASR
- conversational modeling
- Convolutional Neural Networks
- Criminal investigations
- Cross-modal Alignment
- Cross-modal Attentio
- Cross-modal Attention
- ctc
- Data Selection
- deep neural networks
- depression detection
- DISPLACE-2
- domain adaptation
- Domain Classification
- Dual mode encoder
- e2e-lfmmi
- ECAPA-TDNN embedding
- 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
- LLM-based ASR
- local speaker segmentation
- 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
- network analysis
- node weighted graphs
- online speech recognition
- OOV-word recognition
- OpenSky Network
- OSINT
- out-of-domain
- prompt projection
- rare word recognition
- real-time ASR
- real-time speech recognition
- ROXANNE
- ROXSD
- self-supervised learning
- sentence embeddings
- Speaker change detection
- speaker clustering
- Speaker Diarization
- Speaker identification
- speaker recognition
- speaker role detection
- speaker turn detection
- speaker verification
- Speech activity detection
- speech dataset
- speech recognition
- Speech-to-LLM alignment
- spoken dialogue systems
- Spoken Language Understanding
- streaming ASR
- subspace Gaussian mixture models
- supervised adaptation
- task-oriented dialog
- Text classification
- text denoising
- Text fine-tuning
- transfer learning
- transformer transducer
- transformers
- user identity linkage
- wav2vec 2.0
- wav2vec2
- whisper
- Word Consensus Networks
- Word-Confusion-Networks
- XLSR
- XLSR-Transducer
- Zipformer
Publications of Srikanth Madikeri sorted by title
E
| EXPLOITING SEQUENCE INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, New Orleans, pages 5370-5374, 2017 |
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| Feature Switching in the i-vector Framework for Speaker Verification, , , , and , in: Proc. of Interspeech 2014, pages 5, 2014 |
| 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 |
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| Graph2Speak: Improving Speaker Identification using Network Knowledge in Criminal Conversational Data, , , and , Idiap-RR-01-2023 |
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| Graph2Speak: Improving Speaker Identification using Network Knowledge in Criminal Conversational Data, , , and , in: 1st ISCA Symposium on Security and Privacy in Speech Communication, pages 10--13, 2021 |
[DOI] |
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| IDIAP SUBMISSION TO NIST LRE22 LANGUAGE RECOGNITION EVALUATION, , , and , Idiap-RR-11-2025 |
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| IDIAP SUBMISSION TO THE NIST SRE 2016 SPEAKER RECOGNITION EVALUATION, , , , and , Idiap-RR-32-2016 |
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| Idiap submission to the NIST SRE 2018 Speaker Recognition Evaluation, , , and , Idiap-RR-17-2019 |
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| Idiap submission to the NIST SRE 2019 Speaker Recognition Evaluation, , , , and , Idiap-RR-15-2019 |
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| Implementation of the Standard I-vector System for the Kaldi Speech Recognition Toolkit, , , and , Idiap-RR-26-2016 |
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| Implementing contextual biasing in GPU decoder for online ASR, , , , , , and , Idiap-RR-02-2023 |
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| Implementing contextual biasing in GPU decoder for online ASR, , , , , , and , in: Proc. Interspeech 2023, pages 4494--4498, 2023 |
[DOI] [URL] |
| Improving Real Time Factor of Information Bottleneck-based Speaker Diarization System, , and , Idiap-RR-18-2015 |
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| INCREMENTAL SEMI-SUPERVISED LEARNING FOR MULTI-GENRE SPEECH RECOGNITION, , , , , and , in: Proceedings of ICASSP 2020, 2020 |
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| INCREMENTAL TRANSFER LEARNING IN TWO-PASS INFORMATION BOTTLENECK BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS, , , and , in: Proceedings of ICASSP 2019, pages 6291-6295, 2019 |
| INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION, , and , Idiap-RR-09-2016 |
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| INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION, , and , in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5580-5584, IEEE, 2016 |
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| Integrating Online I-vector extractor with Information Bottleneck based Speaker Diarization system, , , and , Idiap-RR-20-2015 |
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| Integrating Online I-vector extractor with Information Bottleneck based Speaker Diarization system, , , and , in: Proceedings of Interspeech 2015, pages 3105-3109, 2015 |
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| Inter-task System Fusion for Speaker Recognition, , , , and , in: Proceeedings of the INTERSPEECH, 2016 |
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| INTRA-CLASS COVARIANCE ADAPTATION IN PLDA BACK-ENDS FOR SPEAKER VERIFICATION, , , and , Idiap-RR-05-2017 |
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| INTRA-CLASS COVARIANCE ADAPTATION IN PLDA BACK-ENDS FOR SPEAKER VERIFICATION, , , and , in: Proceedings of International Conference on Acoustics, Speech and Signal Processing, pages 5365-5369, 2017 |
[DOI] |
| INVESTIGATING TIME DELAY NEURAL NETWORK (TDNN) FOR LANGUAGE MODELING IN LOW RESOURCE AUTOMATIC SPEECH RECOGNITION, , , and , Idiap-RR-13-2019 |
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| KL-HMM BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS, and , Idiap-RR-19-2015 |
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| KL-HMM BASED SPEAKER DIARIZATION SYSTEM FOR MEETINGS, and , in: Proceedings of ICASSP 2015, pages 4435-4439, 2015 |
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| Lattice-Free Maximum Mutual Information Training of Multilingual Speech Recognition System, , , , , and , Idiap-RR-28-2020 |
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| Lattice-Free Maximum Mutual Information Training of Multilingual Speech Recognition System, , , , , and , in: In Proceedings of Interspeech 2020, pages 4746--4750, ISCA, 2020 |
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| LATTICE-FREE MMI ADAPTATION OF SELF-SUPERVISED PRETRAINED ACOUSTIC MODELS, , and , Idiap-RR-40-2020 |
[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 |
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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 |
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| Minimum effort adaptation of automatic speech recognition system in air traffic management, , , , , , and , in: European Journal of Transport and Infrastructure Research, 24(4 (2024)):133–153, 2025 |
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| MODIFIED GROUP DELAY FEATURE BASED TOTAL VARIABILITY SPACE MODELLING FOR SPEAKER RECOGNITION, , and , in: International Journal of Speech Techonology, 18(1):17-23, 2014 |
[DOI] |
| Multitask adaptation with Lattice-Free MMI for multi-genre speech recognition of low resource languages, , and , in: Proceedings of Interspeech 2021, 2021 |
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| Multitask Speech Recognition and Speaker Change Detection for Unknown Number of Speakers, , , , , , , and , in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Republic of Korea, pages 12592-12596, IEEE, 2024 |
[DOI] [URL] |
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| Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews, , , and , Idiap-RR-03-2023 |
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| Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews, , , and , in: Proceedings of Interspeech, 2023 |
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| Normalizing Flows for Speaker and Language Recognition Backend, , , , and , in: Odyssey 2024: The Speaker and Language Recognition Workshop, 2024 |
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