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Analysis of Language Dependent Front-End for Speaker Recognition.

, , and . INTERSPEECH, page 1101-1105. ISCA, (2018)

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Quantization of Acoustic Model Parameters in Automatic Speech Recognition Framework., , and . CoRR, (2020)Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains., , , , and . CoRR, (2019)Integrating online i-vector extractor with information bottleneck based speaker diarization system., , , and . INTERSPEECH, page 3105-3109. ISCA, (2015)Content Normalization for Text-Dependent Speaker Verification., , , and . INTERSPEECH, page 1482-1486. ISCA, (2017)Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding., , , , , , , , , and 1 other author(s). CoRR, (2023)Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models., , , , , and . CoRR, (2020)Intra-class covariance adaptation in PLDA back-ends for speaker verification., , , and . ICASSP, page 5365-5369. IEEE, (2017)Speech Activity Detection Based on Multilingual Speech Recognition System., , and . CoRR, (2020)Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models., , and . CoRR, (2020)Supervised Domain Adaptation for Text-Independent Speaker Verification Using Limited Data., , , and . INTERSPEECH, page 3815-3819. ISCA, (2020)