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 title
A
| A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION, , and , Idiap-RR-07-2020 |
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| A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION, , and , in: In Proceedings of ICASSP 2019, Brighton, ENGLAND, pages 5786-5790, 2019 |
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| A COMPARISON OF METHODS FOR OOV-WORD RECOGNITION ON A NEW PUBLIC DATASET, , and , in: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, Toronto, Ontario, Canada, 2021 |
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| A Large-Scale Open-Source Acoustic Simulator for Speaker Recognition, , , , and , in: IEEE Signal Processing Letters, 23(4):527 - 531, 2016 |
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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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| An Automatic Speaker Clustering Pipeline for the Air Traffic Communication Domain, , , , , , and , in: Aerospace, 10(10):876, 2023 |
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| Analysis of Language Dependent Front-End for Speaker Recognition, , and , in: Proceedings of Interspeech 2018, Hyderabad, INDIA, pages 1101-1105, 2018 |
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| Analysis of Posterior Estimation Approaches to I-vector Extraction for Speaker Recognition, , , and , Idiap-RR-15-2018 |
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C
| COMBINING SGMM SPEAKER VECTORS AND KL-HMM APPROACH FOR SPEAKER DIARIZATION, , and , Idiap-RR-17-2015 |
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| COMBINING SGMM SPEAKER VECTORS AND KL-HMM APPROACH FOR SPEAKER DIARIZATION, , and , in: Proceedings of ICASSP 2015, pages 4834-4837, 2015 |
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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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| Content Normalization for Text-dependent Speaker Verification, , , and , in: Proc. of Interspeech, 2017 |
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| CONTENT NORMALIZATION FOR TEXT-INDEPENDENT SPEAKER VERIFICATION, , , and , Idiap-RR-31-2017 |
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| 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 |
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D
| DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , Idiap-RR-08-2016 |
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| DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5050-5054, IEEE, 2016 |
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| DNN based speaker embedding using content information for text-dependent speaker verification, , , and , Idiap-RR-06-2018 |
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| DNN based speaker embedding using content information for text-dependent speaker verification, , , and , in: Proceedings of 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018 |
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E
| 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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| EMPLOYMENT OF SUBSPACE GAUSSIAN MIXTURE MODELS IN SPEAKER RECOGNITION, , , and , Idiap-RR-16-2015 |
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| EMPLOYMENT OF SUBSPACE GAUSSIAN MIXTURE MODELS IN SPEAKER RECOGNITION, , , and , in: 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Brisbane, Australia, pages 4445-4449, 2015 |
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| End-to-end text-dependent speaker verification using novel distance measures, , and , in: Proceedings of Interspeech 2018, Hyderabad, INDIA, Aug 02-Sep 06, 2018, pages 3598-3602, 2018 |
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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 |
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| EXPLOITING SEQUENCE INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , Idiap-RR-04-2017 |
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| 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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F
| 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), 2024 |
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G
| 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 |
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